RAND American Life Panel Papers

Aging and Retirement

2018

• Strough, J., Bruine de Bruin, W., & Parker, A. M. (2018). Taking the biggest first: Age differences in preferences for monetary and hedonic sequences. The Journals of Gerontology: Series B.
• Diebold, J., & Camilleri, S. (2018). An experimental analysis of modifications to the survivor benefit information within the Social Security statement. Journal of Pension Economics & Finance, 1–28.
• Zhang, S., Hughes, G., & Rajnes, D. M. (2018). Irrational expectations concerning future social security benefits: United States, Canada, and Ireland, John A. Turneri Pension Policy Center United States.

2017

• Clark, R., Lusardi, A., & Mitchell, O. S. (2017). Employee financial literacy and retirement plan behavior: a case study. Economic Inquiry, 55(1), 248–259.
• Clark, R., Lusardi, A., & Mitchell, O. S. (2017). Financial knowledge and 401(k) investment performance: a case study. Journal of Pension Economics & Finance, 16(3), 324–347.
• MacLeod, S., Musich, S., Hawkins, K., & Armstrong, D. G. (2017). The growing need for resources to help older adults manage their financial and healthcare choices. BMC Geriatrics, 17(1), 84.
• Maurer, R., Mitchell, O. S., Rogalla, R., & Schimetschek, T. (2017). Optimal social security claiming behavior under lump sum incentives: Theory and evidence (No. w23073). National Bureau of Economic Research.
• Maurer, R., Mitchell, O. S., Rogalla, R., & Schimetschek, T. (2017). Will they take the money and work? People's willingness to delay claiming social security benefits for a lump sum. Journal of Risk and Insurance.
• Mitchell, O. S. (2017). Financial knowledge and key retirement outcomes: an overview of the issue. Journal of Pension Economics & Finance, 16(3), 273–276.
• Armour, P. (2017). The reintroduction of the social security statement and its effect on Social Security expectations, retirement savings, and labor supply across the age distribution.
• Ifther, J., Zarghamee, H., & Cabacungan, A. (2017). The unique decline for Americans approaching retirement age. Markets, Governance, and Institutions in the Process of Economic Development, 202.

2016

• Brown, J. R., Kapteyn, A. , & Mitchell, O. S. (2016). Framing and claiming: How information–framing affects expected social security claiming behavior. Journal of Risk and Insurance, 83(1), 139–162.
• Delprat, G., Leroux, M. L. , & Michaud, P. C. (2016). Evidence on individual preferences for longevity risk. Journal of Pension Economics & Finance, 15(2), 160–179.
• Maurer, R., & Mitchell, O. S. (2016). Older peoples’ willingness to delay Social Security claiming (No. w22942). National Bureau of Economic Research.
• Mohan, A., & Prasad, A. (2016). A comparative study among private and public sector employees about retirement financial literacy. International Journal of Research in Commerce & Management, 7(1).

2015

• Bajtelsmit, V., & Rappaport, A. M. (2015). When should your clients claim social security? Journal of Financial Service Professionals, 69(1).
• Coe, N. B., Skira, M. M., & Van Houtven, C. H. (2015). Long-term care insurance: Does experience matter? Journal of Health Economics.
• Ellingson, G. (2015). Late retirement bonus: how the government can incentivize working longer. Chicago Policy Review, ePub.
• Goda, G. S., Levy, M., Manchester, C. F., Sojourner, A., & Tasoff, J. (2015). The role of time preferences and exponential-growth bias in retirement savings. No 21482, NBER Working Papers, National Bureau of Economic Research.
• Kristjanpoller, W. D., & Olson, J. E. (2015). Choice of retirement funds in Chile: Are Chilean women more risk averse than men? Sex Roles, 72(1-2), 50-67.
• Ricci, O., & Caratelli, M. (2015). Financial literacy, trust and retirement planning. Journal of Pension Economics & Finance, 16(1), 43–64.
• Zick, C. D., Mayer, R. N., & Smith, K. R. (2015). Family health histories and their impact on retirement confidence. Journal of Aging and Health.

2014

• Bateman, H., Eckert, C., Geweke, J., Louviere, J., Satchell, S., & Thorp, S. (2014). Financial competence, risk presentation and retirement portfolio preferences. Journal of Pension Economics and Finance, 13(01), 27-61.
• Bruine de Bruin, W., Strough, J., & Parker, A. M. (2014). Getting older isn't all that bad: Better decisions and coping when facing "sunk costs". Psychology and Aging, 29(3), 642.
• Chung, Y., & Park, Y (2014). The effects of financial education and networks on business students' financial literacy. American Journal of Business Education (AJBE), 7(3), 229-236.
• Dong, F. H. (2014). Achieving a financially secure retirement: a retirement community case study. Journal of Health Economics.
• Littlewood, M. R. (2014). Ageing populations, retirement incomes and public policy: What really matters. Retirement incomes and public policy: What really matters.
• Lusardi, A., Mitchell, O. S., & Curto, V. (2014). Financial literacy and financial sophistication in the older population. Journal of Pension Economics and Finance, 13(04), 347-366.
• Maurer, R., Mitchell, O. S., Rogalla, R., & Schimetschek, T. (2014, October). Will they take the money and work? An empirical analysis of people's willingness to delay claiming Social Security benefits for a lump sum (Working Paper No. 20614). NBER.
• Nishiyama, S., & Smetters, K. (2014). Financing old age dependency. Annual Review of Economics, 6(1), 53-76.
• Wilson S. (2014). ICI to labor: Take broader view in retirement survey. Ipswich, MA: Business Source Complete.

2013

• Brown, J. R., Kapteyn, A., & Mitchell, O. S (2013). Framing and claiming: How information framing affects expected social security claiming behavior. Journal of Economic Behavior and Organization, 81(1), 39-60.
• Clift, J. (2013). Three essays on the labor supply, savings, and investment behavior of older workers. Ipswich, MA: PsycINFO.
• Fichtner, J. J. (2013). Reforming social security to better promote retirement security.
• Hoffman, A. K., & Jackson, H. E. (2013). Retiree out-of-pocket healthcare spending: A study of consumer expectations and policy implications. American Journal of Law and Medicine, 39(1), 13-04.
• Kantarci, T., & van Soest, A. (2013). Stated preference analysis of full and partial retirement in the United States (Working Paper). CESR-Schaeffer.
• Landerretche, O. M., & Martinez, C. (2013). Voluntary savings, financial behavior, and pension finance literacy: Evidence from Chile. Journal of Pension Economics and Finance, 12(03), 251-297.
• Lusardi, A., Samek, A., Kapteyn, A., Glinert, L., Hung, A., & Heinberg, A. (2013). The economic importance of financial literacy: Theory and evidence. National Bureau of Economic Research.
• Parker, A. M. (2013). Confidence, overconfidence, and retirement planning.
• Parker, A. M., Carvalho, L. S., & Rohwedder, S. (2013). Cognitive ability, expectations, and beliefs about the future: Psychological influences on retirement decisions (Research Paper 2013-298). Michigan Retirement Research Center.
• Vidovicova, L. (2013). Financial literacy in retirement planning context: The case of Czech olderworkers. Aging in European Societies,, 191-203.
• Zick, C. D., & Mayer, R. N. (2013). Evaluating the impact of financial planners. The Market for Retirement Financial Advice, 153.

2012

• Brown, J. R., Kapteyn, A., Luttmer, E., & Mitchell, O. (2012). Do consumers know how to value annuities? Complexity as a barrier to annuitization (Working Paper). Santa Monica, CA: RAND Corporation.
• Brown, J. R., Kapteyn, A., Mitchell, O., & Mattox, T. (2012). Framing the social security earnings test. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• Hunsley, T., Jutting, C., Legare, J., Lieberman, A., Neumann, B., Rainville, G., & Stone, L. (2012). Key demographics in retirement risk management. Unpublished manuscript.
• Kantarci, T. (2012). Factors limiting the opportunities for partial retirement. Unpublished manuscript, Tilburg University, The Netherlands.
• Parker, A. M., Bruine de Bruin, W., Yoong, J., & Willis, R. (2012). Inappropriate confidence and retirement planning: Four studies with a national sample. Journal of Behavioral Decision Making, 25(4), 382-389.
• Teppa, F. (2012). Are retirement decisions vulnerable to framing effects? Empirical evidence from NL and the US (Working Paper). Amsterdam: De Nederlandsche Bank.

2011

• Binswanger, J., & Carman, K. (2011). How real people make long-term decisions: The case of retirement preparation. Journal of Economic Behavior and Organization, 81(1), 39-60.
• Brown, J., Kapteyn A., & Mitchell, O. (2011). Framing effects and expected social security claiming behavior (Working Paper w17018). Cambridge, MA: NBER.
• Falcone, N. (2011). ECO 271W: Behavioral economics professor Kochov review of "$100 bills on the sidewalk: Suboptimal investment in 401 (k) plans".
• Kantarci, T. & van Soest, A. (2011). Stated preference analysis of full and partial retirement in the United States (Discussion Paper). Netspar, Tilburg, The Netherlands.
• Mitchell O, & Lusardi A. (2011). Financial literacy: Implications for retirement security and the financial marketplace. Ipswich, MA: EconLit.

2010

• Greenwald, M., Kapteyn, A., Mitchell, O., & Schneider, L. (2010). What do people know about Social Security? (Working Paper WR-792-SSA). Santa Monica, CA: RAND Corporation.

2009

• Greenwald, M., Kapteyn, A., Mitchell, O., & Schneider, L. (2010). What do people know about Social Security? (Working Paper WR-792-SSA). Santa Monica, CA: RAND Corporation.

Current Events

2018

• Davenport, A. C., Welburn, J. W., Lauland, A., Pietenpol, A., Robbins, M., Rebhan, E., ... & Riley, K. J. (2018). Evaluation finds excess property program is efficient and effective, but perceptions about militarized police persist. RAND Corporation.
• Davenport, A. C., Welburn, J. W., Lauland, A., Pietenpol, A., Robbins, M., Rebhan, E., ... & Riley, K. J. (2018). An evaluation of the Department of Defense's excess property program. RAND Corporation.

2017

• Samek, A. S. (2017). The association between personality traits and voting in the 2016 US Presidential Election.
• Schuldt, J. P., Enns, P. K., & Cavaliere, V. (2017). Does the label really matter? Evidence that the US public continues to doubt 'global warming' more than 'climate change'. Climatic Change, 143(1–2), 271–280.
• Veeman, M. (2017). North American trade policy for agriculture and forestry: can economics trump politics?. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 65(1), 43–68.

2016

• Ablon, L., Heaton, P., Lavery, D. C., & Romanosky, S. (2016). Consumer attitudes toward data breach notifications and loss of personal information. RAND Corporation.
• Barr, M. S., , & Schaffa, D. (2016). Nothing left to lose? Changes experienced by detroit low-and moderate-income households during the great recession. Washington Center for Equitable Growth.
• Dunn, L. F., & Mirzaie, I. A. (2016). Consumer debt stress, changes in household debt, and the Great Recession. Economic Inquiry, 54(1), 201–214.
• Gelman, A., Goel, S., Rivers, D., & Rothschild, D. (2016). The mythical swing voter. Quarterly Journal of Political Science, 11(1), 103–130.
• Hurd, M. D. , & Rohwedder, S. (2016). Consumption smoothing during the financial crisis: the effect of unemployment on household spending. Michigan Retirement Research Center.
• Kahn, C. M., & Liñares-Zegarra, J. M. (2016). Identity theft and consumer payment choice: Does security really matter? Journal of Financial Services Research, 50(1), 121–159.
• Pollard, M. , & Mendelsohn, J. (2016). The final push: Estimated popular vote totals from the October–November wave of the RAND Presidential Election Panel Survey. RAND Corporation.
• Shatz, H., Popper, S. W., Friedrich, S., Abramzon, S., Brodsky, A., Harel, R., & Cohen, O. (2016). Developing long-term socioeconomic strategy in Israel. RAND Corporation.

2015

• Christelis, D., Georgarakos, D., & Jappelli, T. (2015). Wealth shocks, unemployment shocks and consumption in the wake of the Great Recession.
• Modrek, S., Hamad, R., & Cullen, M. R (2015). Psychological well-being during the Great Recession: Changes in mental health care utilization in an occupational cohort. American Journal of Public Health, 105(2), 304-310.

2014

• Arrondel, L., Savignac, F., & Tracol, K. (2014). Wealth and consumption: French households in the crisis. International Journal of Central Banking, 10(3), 163-204.
• Carman, K. G., & Pollard, M. (2014). Methodology of the RAND midterm 2014 election panel.
• Dunn, L. F., & Mirzaie, I. A. (2014). Consumer debt stress, changes in household debt, and the Great Recession.
• Sanchez, A, & Tassot, C. (2014). An exploration of the determinants of the subjective well-being of americans during the Great Recession. Ipswich, MA: EconLit.
• Teppa, F. (2014). Consumption behaviour and financial crisis in the Netherlands.
• Traugott, M. W. (2014). New directions in presidential-election research. Public Opinion Quarterly, 78(S1), 201-203.

2013

• Bracha, A., & Cooper, D (2013). Asymmetric responses to tax-induced changes in personal income: The 2013 payroll tax hike versus anticipated 2012 tax refunds. Public Policy Brief 13-4.
• Graziani, G., van der Klaauw, W., & Zafar, B. (2013). A boost in the paycheck: Survey evidence on workers' response to the 2011 payroll tax cuts (Staff Report 592). FRB of New York.
• Gutsche, T., Kapteyn, A., Meijer, E., & Weerman, B. (2013). The RAND continuous 2012 presidential election poll (Working Paper No. 2013-003). CESR.
• Klapper, L., Lusardi, A., & Panos, G. A. (2013). Financial literacy and its consequences: Evidence from Russia during the financial crisis. Journal of Banking & Finance, 37(10), 3904-3923.
• Mitchell, O. S., & Smetters, K. (2013). The market for retirement financial advice. Oxford University Press.
• Modrek, S., & Cullen, M. R. (2013). Job insecurity during recessions: Effects on survivors' work stress. BMC Public Health, 13(1), 929.

2012

• Delavande, A., & Manski, C. F. (2012). Candidate preferences and expectations of election outcomes. Proceedings of the National Academy of Sciences, 109(10), 3711-3715.
• Gidengil, C., Parker, A., & Zikmund-Fisher, B. (2012). Trends in risk perception and intention to be vaccinated for H1N1 influenza: A longitudinal study of the first year of the pandemic. American Journal of Public Health, 102(4), 672-679.
• Hurd, M. D., & Rohwedder, S. (2012). Effects of the economic crisis on the older population: How expectations, consumption, bequests, and retirement by the older population responded to market shocks. In R. Maurer, O. Mitchell, & M. Warshawsky (Eds.), Reshaping retirement security (Ch. 4). Oxford University Press. Also accessible as Michigan Retirement Research Center Working Paper 2010-231.
• Hurd, M. D., & Rohwedder, S. (2012). Consumption smoothing during the financial crisis: The effect of unemployment on household spending. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• Maurer, J. (2012). How to elicit vaccination intentions: Evidence from a survey experiment. Unpublished manuscript, RAND Corporation, Washington, DC.
• Maurer, J. (2012). The role of intention and implementation for explaining education gradients in influenza vaccination rates. Unpublished manuscript, RAND Corporation, Washington, DC.
• Maurer, J., Harris, K. M., & Parker, A. M. (2012). Who knew? Awareness of being recommended for influenza vaccination among U. S. adults. Influenza and Other Respiratory Viruses, 6(4), 284-290.
• Parker, A. M., Gidengil, C. A., & Vardavas, R. (2012). Herd immunity as a consideration (or not) in patient influenza vaccination decisions. Unpublished manuscript, RAND Corporation, Pittsburgh, PA.
• Pillemer, F., & Parker, A. M. (2012). The importance of prior vaccination: An analysis of seasonal and H1N1 influenza uptake across three seasons. Unpublished manuscript, RAND Corporation, Pittsburgh, PA.
• Pillemer, F., Parker, A. M., & Uscher-Pines, L. (2012). What you've done versus what you think you'll do: Contrasting two approaches to using survey questions to predict vaccine behaviors? Unpublished manuscript, RAND Corporation, Pittsburgh, PA.

2010

• Delavande, A., & Manski, C. (2010). Probabilistic polling and voting in the 2008 presidential election: Evidence from the American Life Panel. Public Opinion Quarterly, 74(3), 433-459.

2008

• Davis, L., Pollard, M., Goulka, J., Mack, K., Lundberg, R., & Steinberg, P. (2008). The role of the United States Postal Service in public safety and security (Monograph MG-800-USPS). RAND Corporation.

Health and Disability

2018

• Trivedi, A. N., Leyva, B., Lee, Y., Panagiotou, O. A., & Dahabreh, I. J. (2018). Elimination of cost sharing for screening mammography in medicare advantage plans. New England Journal of Medicine, 378(3), 262–269.

2017

• Magallanes, C. (2017). Knowledge as a predictor of insurance coverage under the Affordable Care Act: Hoerl M, Wuppermann A, Barcellos S, et al. Medical Care. 2017; 55: 428–435. Journal of Emergency Medicine, 52(5), 785.

2015

• Carman, K. G., & Eibner, C. (2015). Insurance transitions following the first ACA Open Enrollment Period. Rand Health Quarterly, 5(2).
• Carman, K. G., Eibner, C., & Paddock, S. M. (2015). Trends in health insurance enrollment, 2013–15. Health Affairs, 34(6), 1044–1048.
• Coe, N. B., Skira, M. M., & van Houtven, C. H. (2015). Long-term care insurance: Does experience matter?. Journal of Health Economics.
• Karpman, M., Long, S. K., & Huntress, M. (2015). Nonfederal surveys fill a gap in data on ACA. Urban Institute. Health Policy Center Brief.
• Zick, C. D., Mayer, R. N., & Smith, K. R. (2015). Family health histories and their impact on retirement confidence. Journal of Aging and Health.

2014

• Barcellos, S. H., Wuppermann, A. C., Carman, K. G., Bauhoff, S., McFadden, D. L., Kapteyn, A., & Goldman, D. (2014). Preparedness of Americans for the Affordable Care Act. Proceedings of the National Academy of Sciences, 111(15), 5497-5502.
• Bauhoff, S. (2014). How capable are people of making health insurance choices? Evidence from a hypothetical choice experiment. In Health & healthcare in America: From economics to policy. Ashecon.
• Carman, K. G., & Eibner, C. (2014). Changes in health insurance enrollment since 2013.
• Caro, F. G., Hoffmann, S., Gottlieb, A., Kesternich, I., & Winter, J. (2014). Social networks, decision aids, and patient decisions regarding knee-replacement surgery.
• Hoffmann, S., Caro, F. G., Gottlieb, A. S., Kesternich, I., & Winter, J. K. (2014). Contributions of second opinions, outcome forecasts, and testimonials to patient decisions about knee replacement surgery. Medical Decision Making, 34, 603-614.
• Monheit, A. C., Grafova, I., & Kumar, R. (2014). How does family health care use respond to economic shocks? Realized and anticipated effects. National Bureau of Economic Research.
• Nowak S, & Parker A. (2014). Social network effects of nonlifesaving early-stage breast cancer detection on mammography rates. American Journal Of Public Health, 104(12), 2439-2444.
• Winter, J., & Wuppermann, A. (2014). Do they know what is at risk? Health risk perception among the obese. Health Economics, 23(5), 564-585.
• Wuppermann, A. (2014). How prepared are Americans for the affordable care act? Results from a survey of health insurance literacy and health reform knowledge. In Health & healthcare in America: From economics to policy. Ashecon.

2013

• Bauhoff, S., Carman, K. G., & Wuppermann, A. C. (2013). Financial literacy and consumer choice of health insurance: Evidence from low-income populations in the United States.
• d'Uva, T. B., Kapteyn, A., van Doorslaer, E., & van Soest, A. (2013). Changes in disability reporting in the US and the Netherlands.
• Hoffman, A. K., & Jackson, H. E. (2013). Retiree out-of-pocket healthcare spending: A study of consumer expectations and policy implications. American Journal of Law and Medicine, 39(1), 13-04.

2012

• Binswanger, J. and Carman, K. (2012). The role of decision making processes in the correlation between wealth and health (Center Discussion Paper 2011-005). Tilburg University.
• Brown, J. R., Goda, G. S., & McGarry, K. (2012). Long-term care insurance demand limited by beliefs about needs, concerns about insurers, and care available from family. Health Affairs, 31(6), 1294-1302.
• Bruine de Bruin, W., Parker, A. M., & Strough, J. N. (2012). Sunk-cost decisions and aging.
• Caro, F. G., Gottlieb, A., Homann, S., Kapteyn, A., & Winter, J. (2012). Supporting decisions of patients considering knee replacement surgery for osteoarthritis: The relative importance of supplementary information. Boston, MA: University of Massachusetts.
• Caro, F. G., Ho, T., McFadden, D., Gottlieb, A., Yee, C., Chan, T., & Winter, J. (2012). Using the internet to administer more realistic vignette experiments. Social Science Computer Review, 30, 184-201.
• Dolan, P. (2012). Thinking about it: Thoughts about health and valuing QALY's. Health Economics, 20, 1407-1416.
• Gidengil, C., Parker, A., & Zikmund-Fisher, B. (2012). Trends in risk perception and intention to be vaccinated for H1N1 influenza: A longitudinal study of the first year of the pandemic. American Journal of Public Health, 102, 672-679.
• Maurer, J. (2012). How to elicit vaccination intentions: Evidence from a survey experiment. Unpublished manuscript, RAND Corporation, Washington, DC.
• Maurer, J. (2012). The role of intention and implementation for explaining education gradients in influenza vaccination rates. Unpublished manuscript, RAND Corporation, Washington, DC.
• Maurer, J., Harris, K. M., & Parker, A. M. (2012). Who knew? Awareness of being recommended for influenza vaccination among U.S. adults. Influenza and Other Respiratory Viruses, 6(4), 284-290.
• Parker, A. M., Gidengil, C. A., & Vardavas, R. (2012). Herd immunity as a consideration (or not) in patient influenza vaccination decisions. Unpublished manuscript, RAND Corporation, Pittsburgh, PA.
• Pillemer, F., & Parker, A. M. (2012). The importance of prior vaccination: An analysis of seasonal and H1N1 influenza uptake across three seasons. Unpublished manuscript, RAND Corporation, Pittsburgh, PA.
• Pillemer, F., Parker, A. M., & Uscher-Pines, L. (2012). What you've done versus what you think you'll do: Contrasting two approaches to using survey questions to predict vaccine behaviors?. Unpublished manuscript, RAND Corporation, Pittsburgh, PA.
• Romley, J., Sanchez, Y., Penrod, J., & Goldman, D. (2012). Survey results show that adults are willing to pay higher insurance premiums for generous coverage of specialty drugs. Health Affairs, 31(4), 683-690.
• van Soest, A., Andreyeva, T., Kapteyn, A., & Smith, J. P. (2012). Self reported disability and reference groups. In D. Wise (Ed.), Investigations in the economics of aging. Unpublished manuscript, University of Chicago Press, Chicago, IL.

2011

• Bruine de Bruin, W., Parker, A. M., & Maurer, J. (2011). Assessing small non-zero perceptions of chance: The case of H1N1 (swine) flu risks. Journal of Risk and Uncertainty, 42(2), 145-159.
• Hsu, J. W., Fisher, G., & Willis, R. J. (2011). Internet access and cognitive ability: Analysis of selectivity of internet interviews in the cognitive economics survey. In J. W. Hsu, Essays on the acquisition of human capital (Unpublished doctoral dissertation), (Ch. 3). University of Michigan.
• Hsu, J. W., & McFall, B. H. (2011). Mode effects in mixed-mode surveys: Insight from the cognitive economics study. Unpublished manuscript, University of Michigan, Ann Arbor, MI.

2009

• Bruine de Bruin, W., Parker, A. M., Schwartz, B., & Fischhoff, B. (2009). Do maximizers really have worse decision-making outcomes, competence, and styles?. Manuscript submitted for publication.

2008

• Banks, J. , Kapteyn, A, Smith, J. P., & van Soest, A. (2008). Work disability is a pain in the *****, especially in England, the Netherlands, and the United States. In D. M. Cutler & D. A. Wise (Eds.), Health at older ages: The causes and consequences of declining disability among the elderly (pp. 251-293). Chicago University Press.

2007

• Kapteyn, A., Smith, J., & van Soest, A. (2007). Vignettes and self-reported work disability in the US and the Netherlands. American Economic Review, 97(1), 461-473.

Financial Decision Making

2018

• Angel, S. (2018). Smart tools? A randomized controlled trial on the impact of three different media tools on personal finance. Journal of Behavioral and Experimental Economics, 74, 104–111.
• Ringo, D. (2018). Parental Credit Constraints and Child College Attendance. Education Finance and Policy, 1–53.
• Batsaikhan, U. (2018). Financial literacy and inclusive growth in the European Union. Bruegel Policy Contribution Issue No. 08, May 2018.
• Choi, J. J., & Robertson, A. Z. (2018). What matters to individual investors? Evidence from the horse–s mouth.
• Schuh, S. (2018). Measuring consumer expenditures with payment diaries. Economic Inquiry, 56(1), 13–49.
• Shin, S., Kim, H., & Heath, C. J. Narrow Framing and Retirement Savings Decisions. Journal of Consumer Affairs.
• Millimet, D. L., McDonough, I. K., & Fomby, T. B. (2018). Financial Capability and Food Security in Extremely Vulnerable Households. American Journal of Agricultural Economics.
• Harvey, M. (2018). Financial education among financially vulnerable populations in the United States (Doctoral dissertation, The Pardee RAND Graduate School).

2017

• Lusardi, A., Samek, A., Kapteyn, A., Glinert, L., Hung, A., & Heinberg, A. (2017). Visual tools and narratives: New ways to improve financial literacy. Journal of Pension Economics & Finance, 16(3), 297–323.

2016

• Abdeldayem, M. M. (2016). Is there a relationship between financial literacy and investment decisions in the Kingdom of Bahrain? Management and Administrative Sciences Review, 5(4), 203–221.
• Allgood, S., & Walstad, W. B. (2016). The effects of perceived and actual financial literacy on financial behaviors. Economic inquiry, 54(1), 675–697.
• Angrisani, M., Kapteyn, A. , & Lusardi, A. (2016). The national financial capability study: empirical findings from the American Life Panel survey. SSRN Electronic Journal.
• Awais, M., Laber, M. F., Rasheed, N., & Khursheed, A. (2016). Impact of Financial Literacy and Investment Experience on Risk Tolerance and Investment Decisions: Empirical Evidence from Pakistan. International Journal of Economics and Financial Issues, 6(1).
• Barcellos, S. H., Carvalho, L. S., Smith, J. P., & Yoong, J. (2016). Financial education interventions targeting immigrants and children of immigrants: results from a randomized control trial. Journal of Consumer Affairs, 50(2), 263–285.
• Bartholomae, S., & Fox, J. J. (2016). Advancing financial literacy education using a framework for evaluation. Handbook of Consumer Finance Research.
• Burke, J., , & Hung, A. (2016). Trust and financial advice. RAND Corporation.
• Carman, K. G., & Zamarro, G. (2016). Does financial literacy contribute to food security? International Journal of Food and Agricultural Economics, 4(1), 1.
• Carvalho, L. S., Meier, S., & Wang, S. W. (2016). Poverty and economic decision-making: Evidence from changes in financial resources at payday. American Economic Review, 106(2), 260–84.
• Cole, A., & Greene, C. (2016). Financial inclusion and consumer payment choice. Federal Reserve Bank of Boston Research Data Reports.
• Dahmen, P. J. (2016). Financial literacy continuing professional education cognitive needs assessment for Florida small business owners. University of South Florida.
• Dimmock, S. G., Kouwenberg, R., Mitchell, O. S., & Peijnenburg, K. (2016). Ambiguity aversion and household portfolio choice puzzles: Empirical evidence. Journal of Financial Economics, 119(3), 559–577.
• Dinkova, M., Kalwij, A., & Alessie, R. (2016). Know more, spend more? The impact of financial literacy on household consumption. Discussion paper from Mopact Workshop.
• Friedline, T., Despard, M., & Chowa, G. A. (2016). Preventive Policy Strategy for Banking the Unbanked: Savings Accounts for Teenagers? Journal of Poverty, 20(1), 2–33.
• Henager, R., & Cude, B. J. (2016). Financial literacy and long-and short-term financial behavior in different age groups. Journal of Financial Counseling and Planning, 27(1), 3.
• Huang, Z. (2016). Decision Making Under Uncertainty: An investigation from economic and psychological perspective (No. 660).
• Trütsch, T. (2016). The impact of mobile payment on payment choice. Financial Markets and Portfolio Management, 30(3), 299–336.

2015

• Beshears, J., Choi, J. J., Harris, C., Laibson, D., Madrian, B. C., & Sakong, J. (2015). Self control and commitment: can decreasing the liquidity of a savings account increase deposits? (No. w21474). National Bureau of Economic Research.
• Brown, J. R., Kapteyn, A., Luttmer, E. F., Mitchell, O. S., Munnell, A. H., Rutledge, M. S., & Cooperrider, T. (2015). Are Cognitive Constraints a Barrier to Annuitization. Long Term Care News, 23.
• Burke, J., & Hung, A. A. (2015). Do Financial Advisers Influence Savings Behavior? RAND Corporation.
• Debbich, M. (2015). Why financial advice cannot substitute for financial literacy.
• Gaudecker, H. & Von, M. (2015). How does household portfolio diversification vary with financial literacy and financial advice? The Journal of Finance, 70(2), 489–507.
• Greene, C., Schuh, S. D., & Stavins, J. (2016). The 2014 survey of consumer payment choice: summary results.
• Huang, J., Nam, Y., & Sherraden, M.S. (2015). Finance for all: The impact of financial literacy training in compulsory secondary education in spain.
• Love, D., & Phelan, G. (2015). Hyperbolic discounting and life-cycle portfolio choice. Journal of Pension Economics & Finance, 14(4), 492–524.
• Lusardi, A., & Tufano, P. (2015). Debt literacy, financial experiences, and overindebtedness. Journal of Pension Economics & Finance, 14(4), 332–368.
• Mitchell, O. S., & Lusardi, A. (2015). Financial literacy and economic outcomes: Evidence and policy implications. The Journal of Retirement, 3(1), 107.
• Sinayev, A., & Peters, E. (2015). Cognitive reflection vs. calculation in decision making. Frontiers in Psychology, 6, 532.
• Thomas, A., & Spataro, L. (2015). Financial literacy, human capital and stock market participation in europe: An empirical exercise under endogenous framework.

2014

• Arrondel, L., Savignac, F., & Tracol, K. (2014). Wealth and consumption: French households in the crisis. International Journal of Central Banking, 10(3), 163-204.
• Balloch, A., Nicolae, A., & Philip, D. (2014). Stock market literacy, trust, and participation. Review of Finance, rfu040.
• Barcellos, S. H., Carvalho, L., Smith, J. P., & Yoong, J. (2014). Financial education interventions targeting immigrant populations: Results from a randomized control trial in the United States (Working Paper).
• Bateman, H., Eckert, C., Geweke, J., Louviere, J., Satchell, S., & Thorp, S. (2014). Financial competence, risk presentation and retirement portfolio preferences. Journal of Pension Economics and Finance, 13(01), 27-61.
• Bianchi, M., & Tallon, J. M (2014). Ambiguity preferences and portfolio choices: Evidence from the field. Université Pantheon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Boschini, A., Dreber, A., Von Essen, E., Muren, A., & Ranehill, E. (2014). Gender and economic preferences in a large random and representative sample.
• Briglevics, T., & Schuh, S. D. (2014). US consumer demand for cash in the era of low interest rates and electronic payments.
• Bucher-Koenen, T., Lusardi, A., Alessie, R., & van Rooij, M. (2014). How financially literate are women? An overview and new insights. National Bureau of Economic Research.
• Bucher-Koenen, T., & Lamla, B. (2014). The long shadow of socialism: On east-west German differences in financial literacy (Social Policy Discussion Paper 282-14). Max Planck Institute for Social Law and Social Policy.
• Carvalho, L., Meier, S., & Wang, S. W. (2014). Poverty and economic decision making: Evidence from changes in financial resources at payday Unpublished manuscript.
• Disney, R., Gathergood, J., & Weber, J. (2014). Credit counseling: A substitute for consumer financial literacy?.
• Dunn, L. F., & Mirzaie, I. A. (2014). Consumer debt stress, changes in household debt, and the Great Recession.
• French, D., & McKillop, D. G. (2014). Financial literacy and over-indebtedness in low-income households.
• Gaudecker, H., & Von, M. (2014). How does household portfolio diversification vary with financial literacy and financial advice?. The Journal of Finance.
• Gerrans, P., & Heaney, R. A. (2014). The role of undergraduate personal finance education in financial literacy, financial attitudes and financial behaviours. Financial Attitudes and Financial Behaviours.
• Goda, G. (2014). Closed for business: Counterparty risk and insurance purchase decisions. In Health & healthcare in America: From economics to policy. Ashecon.
• Greene, R. H (2014). How financial literacy influences long-and short-term financial behaviors in different age cohorts (Doctoral dissertation). University of Georgia.
• Heinberg, A., Hung, A. A., Kapteyn, A., Lusardi, A., Samek, A. S., & Yoong, J. (2014). Five steps to planning success. experimental evidence from US households. National Bureau of Economic Research.
• Herkenhoff, K. F. (2014). The impact of consumer credit access on unemployment: Extensions and data.
• Huck, S., Schmidt, T., & Weizsacker, G. (2014). The standard portfolio choice problem in Germany.
• Hughes, L. M. (2014). Crowdfunding: Putting a cap on the risks for unsophisticated investors. Charleston Law Review 8, 483-591.
• Krische, S. D. (2014). Who is the average individual investor? Numerical skills and implications for accounting research.
• Kunovskaya, I. A., Cude, B. J., & Alexeev, N. (2014). Evaluation of a financial literacy test using classical test theory and item response theory. Journal of Family and Economic Issues, 35(4), 516-531.
• Kyle, L. (2014). How financial literacy impacts on KiwiSaver decisions? (Doctoral dissertation). Auckland University of Technology.
• Linares-Zegarra, J., & Wilson, J. O. (2014). Credit card interest rates and risk: New evidence from US survey data. The European Journal of Finance, 20(10), 892-914.
• Loncar, I., & Golemac, Z. (2014). Changing students' financial knowledge through different levels of economic university education. Journal of Educational and Social Research, 4(4), 150.
• Lusardi, A., Mitchell, O. S., & Curto, V. (2014). Financial literacy and financial sophistication in the older population. Journal of Pension Economics and Finance, 13(04), 347-366.
• Lusardi, A., Samek, A., Kapteyn, A., Glinert, L., Hung, A., Heinberg, A. (2014). Visual tools and narratives: New ways to improve financial literacy. Ipswich, MA: EconLit.
• Mahdavi, M., & Horton, N. J. (2014). Financial knowledge among educated women: Room for improvement. Journal of Consumer Affairs, 48(2), 403-417.
• Maurer, R., Mitchell, O. S., Rogalla, R., & Schimetschek, T. (2014). Will they take the money and work? An empirical analysis of people's willingness to delay claiming social security benefits for a lump sum. National Bureau of Economic Research.
• Schuh, S., & Stavins, J. (2014). The 2011 and 2012 surveys of consumer payment choice. Research Data Report, 14-1.
• Teppa, F. (2014). Consumption behaviour and financial crisis in the Netherlands.
• Theodos, B., Kalish, E., McKernan, S. M., & Ratcliffe, C. (2014). Do financial knowledge, behavior, and well-being differ by gender?.
• Tourangeau, R., Fricker, S., Kopp, B., & Tan, L. (2013). Consumer Expenditure Survey Measurement Error Study Phase.
• Trytsch, T. (2014). The impact of contactless payment on spending. International Journal of Economic Sciences, 2014(4), 70-98.
• Wesutsa, L. N. (2014). Factors influencing demand for financing of mortgage projects in Mombasa County, Kenya (Doctoral dissertation).
• Yu, K. M., Wu, A. M., Chan, W. S., & Chou, K. L. (2014). Gender differences in financial literacy among Hong Kong workers. Educational Gerontology, 1-12.
• Zimmermann, S. (2014). Relative consumption: The strength of internal and external habits.

2013

• Allgood, S., & Walstad, W. (2013). Financial literacy and credit card behaviors: A cross-sectional analysis by age. Numeracy, 6(2), 3.
• Angrisani, M., Foster, K., & Hitczenko, M. (2013). The 2010 survey of consumer payment choice: Technical appendix. In Federal Reserve Bank of Boston research data report. Manuscript submitted for publication.
• Bauhoff, S., Carman, K. G., & Wuppermann, A. C. (2013).
• Brown, J. R., Kapteyn, A., Luttmer, E. F., & Mitchell, O. S. (2013). Cognitive constraints on valuing annuities (No. w19168). National Bureau of Economic Research.
• Brown, J. R., Kapteyn, A., Luttmer, E. F., & Mitchell, O. S. (2013). Complexity as a barrier to annuitization: Do consumers know how to value annuities? (WP, 1). Pension Research Council.
• Bumcrot, C., Lin, J., & Lusardi, A. (2013). The geography of financial literacy. Numeracy, 6(2), 2.
• Burke, M. A., & Ozdagli, A. (2013). Household inflation expectations and consumer spending: Evidence from panel data. Federal Reserve Bank of Boston.
• Carreno, J. (2014). Housing bubbles, doubts, and learning.
• Delprat, G., Leroux, M. L., & Michaud, P. C. (2013). Evidence on individual preferences for longevity risk. Journal of Pension Economics and Finance, 1-20.
• Dimmock, S., Kouwenberg, R., Mitchell, O., & Peijnenburg, K. (2013). Ambiguity attitudes and economic behavior. Ipswich, MA: EconLit.
• Dimmock, S. G., Kouwenberg, R., Mitchell, O. S., & Peijnenburg, K. (2013). Ambiguity aversion and household portfolio choice: Empirical evidence. National Bureau of Economic Research.
• Disney, R., & Gathergood, J. (2013). Financial literacy and consumer credit portfolios. Journal of Banking & Finance, 37(7), 2246-2254.
• Gilbert, A., Hyde, K., Tourani-Rad, A., & Le, K. (2013). Proceedings from New Zealand Finance Colloquium: Financial Literacy and KiwiSaver Decisions. Auckland: Auckland University of Technology.
• Goel, I., & Khanna, S. R. (2013). Financial education as tool to achieve financial literacy. Eastern Economic.
• Graziani, G., van der Klaauw, W., & Zafar, B. (2013). A boost in the paycheck: Survey evidence on workers' response to the 2011 payroll tax cuts (Staff Report 592). FRB of New York.
• Herkenhoff, K. F. (2013). Jobless recoveries and the revolving credit revolution. Preliminary.
• Herkenhoff, K. F. (2013). The supply side of jobless recoveries.
• Huang, J., Nam, Y., & Sherraden, M. S. (2013). Financial knowledge and child development account policy: A test of financial capability. Journal of Consumer Affairs, 47(1), 1-26.
• Hurd, M. D., & Rohwedder, S. (2013). Expectations and household spending (Research Paper). Michigan Retirement Research Center.
• Kahn, C. M., & Linares-Zegarra, J. M. (2013). Identity theft and consumer payment choice: Does security really matter?.
• Kariv, S., & Silverman, D. (2013). An old measure of decision-making quality sheds new light on paternalism. Journal of Institutional and Theoretical Economics JITE, 169(1), 29-44.
• Klapper, L., Lusardi, A., & Panos, G. A. (2013). Financial literacy and its consequences: Evidence from Russia during the financial crisis. Journal of Banking & Finance, 37(10), 3904-3923.
• Koc, E., & Bloemen, H. (2013). Consumption behaviour and labour market expectations. In Numerical skills and implications for accounting research.
• Landerretche, O. M., & Martinez, C. (2013). Voluntary savings, financial behavior, and pension finance literacy: Evidence from Chile. Journal of Pension Economics and Finance, 12(03), 251-297.
• Lusardi, A., Samek, A., Kapteyn, A., Glinert, L., Hung, A., Heinberg, A. (2013). The economic importance of financial literacy: Theory and evidence. National Bureau of Economic Research.
• Messy, M. F.A., & Monticone, M. C. (2013). OECD/INFE/GFLEC global policy research symposium to advance financial literacy.
• Mottola, G. R. (2013). In our best interest: Women, financial literacy, and credit card behavior. Numeracy, 6(2), 4.
• Nye, P., & Hillyard, C. (2013). Personal financial behavior: The influence of quantitative literacy and material values. Numeracy, 6(1), 3.
• Ricaldi, L., Finke, M. S., & Huston, S. J. (2013). Financial literacy and shrouded credit card rewards. Journal of Financial Services Marketing, 18(3), 177-187.
• Sang, L. T., Osman, Z., Abu, Z. K., Jamal, A. A.A., Mohidin, R. A., & Mail, R. (2009). Financial literacy in southeast coast of sabah.
• Schmeiser, M. D., & Seligman, J. S. (2013). Using the right yardstick: Assessing financial literacy measures by way of financial well-being. Journal of Consumer Affairs, 47(2), 243-262.
• Schuh, S., & Stavins, J. (2013). How consumers pay: Adoption and use of payments. Accounting and Finance Research, 2(2), 1.
• Seay, M. C., & Robb, C. A. (2013). The effect of objective and subjective financial knowledge on high-cost borrowing behavior. Financial Planning Review, 6(4), 1-19.
• Suwanaphan, S. (2013). Proceedings from Management-Knowledge and Learning International Conference: Personal Financial Literacy of Academic Support-Employee in Chiang Mai-University, 1061-1065.
• Vidovicova, L. (2013). Financial literacy in retirement planning context: The case of Czech OlderWorkers. Aging in European Societies, 191-203.
• Wilkinson, K. J. (2013). Evaluation of the division of securities investor education seminars.
• Zick, C. D., & Mayer, R. N. (2013). Evaluating the impact of financial planners. The Market for Retirement Financial Advice, 153.

2012

• Abbi, S. (2012). A need for product innovation to help LMI consumers. Allston, MA: D2D Fund.
• Angrisani M., Kapteyn A., & Schuh S. (2012). Measuring household spending and payment habits: The role of 'typical' and 'specific' time frames in survey questions. In C. Carroll, T.F. Crossley, & J. Sabelhaus, (Eds.), Improving the Measurement of Consumer Expenditures Manuscript submitted for publication, Chicago University Press, Chicago, IL and London.
• Barcellos, S., Smith, J. P., Yoong, J. K., & Carvalho, L. (2012). Barriers to immigrant use of financial services: The role of language skills, U.S. experience, and return migration expectations (Working Paper WR-923-SSA). Santa Monica, CA: RAND Corporation.
• Barcellos, S., & Carvalho, L. (2012). I won't start my diet on monday: The causal effect of self-control awareness on intertemporal choice. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• Barcellos, S., & Carvalho, L. (2012). Self-control awareness and intertemporal choice behavior: Evidence from a randomized experiment. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• Beshears, J., Choi, J., Laibson, D., & Madrian, B. (2012). Financial literacy and consumer choice of health insurance: Evidence from low-income populations in the United States. Harvard University.
• Binswanger, J., & Carman, K. (2012). The role of decision making processes in the correlation between wealth and health (Center Discussion Paper, 2011-005). Tilburg University.
• Brown, J. R., Kapteyn, A., Luttmer, E., & Mitchell, O. (2012). Do consumers know how to value annuities? Complexity as a barrier to annuitization (Working Paper). Santa Monica, CA: RAND Corporation.
• Brown, J. R., Kapteyn, A., Mitchell, O., & Mattox, T. (2012). Framing the social security earnings test. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• Bruine de Bruin, W., van der Klaauw, W., Topa, G., Downs, J. S., Fischhoff, B., & Armantier, O. (2012). The effect of question wording on consumers reported inflation expectations. Journal of Economic Psychology, 4, 749-757.
• Burke, J., & Mihaly, K. (2012). Financial literacy, social perception and strategic default (Working Paper WR-937). Santa Monica, CA: RAND Corporation.
• Carvalho, L. (2012). The effects of financial stress on decision-making (Working Paper).
• Chin, A., & Bruine de Bruin, W. (2012). The effect of question readability on responses to expectations questions. Manuscript submitted for publication, Public Opinion Quarterly.
• Fonseca, R., Mullen, K. J., Zamarro, G., & Zissimopoulos, J. (2012). What explains the gender gap in financial literacy? The role of household decision-making. Journal of Consumer Affairs, 46(1), 90-106.
• Hurd, M. D., & Rohwedder, S. (2012). Consumption smoothing during the financial crisis: The effect of unemployment on household spending. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• Hurd, M. D., & Rohwedder, S. (2012). Effects of the economic crisis on the older population: How expectations, consumption, bequests, and retirement by the older population responded to market shocks. In R. Maurer, O. Mitchell, & M. Warshawsky (Eds.), Reshaping Retirement Security: Lessons from the Global Financial Crisis (Ch. 4). Oxford University Press. In press. Also accessible as Michigan Retirement Research Center Working Paper 2010-231.
• Hurd, M. D., & Rohwedder, S. (2012). Measuring total household spending in a monthly internet survey: Evidence from the American Life Panel. In C. Carroll, T. F. Crossley, & J. Sabelhaus, (Eds.), Improving the measurement of consumer expenditures. Manuscript submitted for publication, Chicago University Press, Chicago and London.
• Hurd, M. D., & Rohwedder, S. (2012). Stock price expectations and stock trading (Working Paper No. 17973). Cambridge, MA: NBER.
• Hurd, M. D., & Rohwedder, S. (2012). The effect of varying the length of the recall period when eliciting household spending. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• Yoong, J., Hung, A., Barcellos, S., Carvalho, L., & Clift, J. (2012). Disparities in minority retirement savings behavior: Survey and experimental evidence from a nationally-representative sample of US households. Santa Monica, CA: RAND Corporation.
• Zafar, B., Nelson, S., van der Klaauw, W. (2012). The best laid savings plans: Understanding individuals revisions and inconsistencies (Working Paper). Princeton University.
• Zissimopoulos, J. (2012). Labor supply flexibility and portfolio choice (Working Paper). Los Angeles, CA: University of Southern California.

2011

• Armantier, O., Bruine de Bruin, W., Topa, G., van der Klaauw, W., & Zafar, B. (2011). Inflation expectations and behavior: Do survey respondents act on their beliefs?. Staff Report No. 509. Federal Reserve Bank of New York.
• Beshears, J., Choi, J., Laibson, D., Madrian, B., & Sakong, J. (2011). Self control and liquidity: How to design a commitment contract. Informing the choice between lump sums and retirement annuity payouts. Harvard University.
• Brown, J., Kapteyn, A., & Mitchell, O. (2011). Framing effects and expected social security claiming behavior (Working Paper w17018). Cambridge, MA: NBER.
• Bruine de Bruin, W., Manski, C. F., Topa, G., & van der Klaauw, W. (2011). Measuring consumer uncertainty about future inflation. Journal of Applied Econometrics, 26(3), 454-478.
• Kapteyn, A., & Teppa, F. (2011). Subjective measures of risk aversion, fixed costs, and portfolio choice. Journal of Economic Psychology, 32, 564-580.
• Mitchell, O., & Lusardi, A. (2011). Financial literacy: Implications for retirement security and the financial marketplace. Ipswich, MA: EconLit.

2010

• Binswanger, J., & Carman, K. (2010). The miracle of compound interest: Does our intuition fail? (Center Discussion Paper, 2010-137). Tilburg University.
• Bruine de Bruin, W., van der Klaauw, W., Downs, J. S., Fischhoff, B., Topa, G., & Armantier, O. (2010). Expectations of inflation: The role of financial literacy and demographic variables. Journal of Consumer Affairs, 44, 381-402.
• Foster, K., Meijer, E., Schuh, S., & Zabek, M. (2010). The 2008 survey of consumer payment choice. Ipswich, MA: EconLit.
• Greenwald, M., Kapteyn, A., Mitchell, O., & Schneider, L. (2010). What do people know about social security? (Working Paper WR-792-SSA). Santa Monica, CA: RAND Corporation.
• Heinberg, A., & Yoong, J. (2010). Do risk disclosures affect investment choice? (Working Paper WR-788). Santa Monica, CA: RAND Corporation.
• Heinberg, A., Hung, A., Kapteyn, A. Lusardi, A., & Yoong, J. K. (2010). Five steps to planning success (Working Paper WR-790). Santa Monica, CA: RAND Corporation.
• Hung, A., & Yoong, J. (2010). Asking for help: Survey and experimental evidence on financial advice and behavior change (Working Paper WR-714). Santa Monica, CA: RAND Corporation.
• Hurd, M., Rohwedder, S. (2010). Effects of the financial crisis and Great Recession on American households (Working Paper No. 16407). Cambridge, MA: NBER.

2009

• Bruine de Bruin, W., Manski, C.F., Topa, G., & van der Klaauw, W. (2009). Measuring consumer uncertainty about inflation (Staff Report No. 415). Federal Reserve Bank of New York.
• Fonsecag, R., Mullen, K., Zamarro, G., & Zissimopoulos, J. (2009). What explains the gender gap in financial literacy? The role of household decision-making. Ipswich, MA: EconLit.
• Hung, A., Meijer, E., Mihaly, K., & Yoong, J. (2009). Building up, spending down: Financial literacy, retirement savings management, and decumulation (Working Paper WR- 712). Santa Monica, CA: RAND Corporation).
• Hung, A., Parker, A., & Yoong, J. (2009). Defining and measuring financial literacy (Working Paper WR-708). Santa Monica, CA: RAND Corporation.
• Lusardi, A., & Mitchell, O. (2009). How ordinary consumers make complex economic decisions: Financial literacy and retirement readiness (Working Paper #15350). Cambridge, MA: NBER.

2008

• Dominitz, J., Hung, A., & Yoong, J. (2008). How do mutual fund fees affect investor choices? Evidence from survey experiments. Ipswich, MA: EconLit.
• Hung, A., Clancy, N., Dominitz, J., Talley, E., Berrebi, C., & Suvankulov, F. (2008). Investor and industry perspectives on investment advisers and broker-dealers (Technical Report TR-556-SEC). Santa Monica, CA: RAND Corporation.
• Hung, A., Dominitz, J., & Yoong, J.K. (2008). What do employees know about their 401(k) plans? Evidence from the American Life Panel. Unpublished manuscript, RAND Corporation, Santa Monica, CA.
• van der Klaauw, W., Bruine de Bruin, W., Topa, G., Potter, S., & Bryan, M. (2008). Rethinking the measurement of household inflation expectations: Preliminary findings (Staff Report No. 359). Federal Reserve Bank of New York.

2007

• Dominitz, J., Hung, A., & van Soest, A. (2007). Future beneficiary expectations of the returns to delayed social security benefit claiming and choice behavior (Working Paper 2007-164). Michigan Retirement Research Center, University of Michigan.
• Lusardi, A., & Mitchell, O. (2007). Financial literacy and retirement planning: New evidence from the rand American Life Panel (Working Paper No. 2007-157). MRRC.

Expectations and Probability

2018

• Chin, A., & Bruine de Bruin, W. (2018). Eliciting stock market expectations: The effects of question wording on survey experience and response validity. Journal of Behavioral Finance, 19(1), 101–110.
• Li, J. (2018). Plastic surgery or primary care? Altruistic preferences and expected specialty choice of us medical students.

2017

• Chin, A., & Bruin, W. (2017). Understanding the formation of consumers' stock market expectations. Journal of Consumer Affairs, 51(1), 200–210.
• Duca, I. A., Kenny, G., & Reuter, A. (2017). Inflation Expectations, Consumption and the Lower Bound: Empirical Evidence from a Large Micro Panel.
• Premik, F., & StanisY#322;awska, E. (2017). The impact of inflation expectations on Polish consumers’ spending and saving. Eastern European Economics, 55(1), 3–28.

2016

• Abaidoo, R. (2016). Inflation expectations, economic policy ambiguity and micro-level consumer behavior. Journal of Financial Economic Policy, 8(3), 377–395.
• Armantier, O., Nelson, S., Topa, G., Van der Klaauw, W., & Zafar, B. (2016). The price is right: Updating inflation expectations in a randomized price information experiment. Review of Economics and Statistics, 98(3), 503–523.
• Armona, L. C., Fuster, A., & Zafar, B. (2016). Home price expectations and behavior: evidence from a randomized information experiment. FRB of NY Staff Report No. 798.
• Binder, C. (2016). Fed speak on main street: central bank communication and household expectations. Journal of Macroeconomics, 52, (C), 238–251.
• Hwang, I. D. (2016). Prospect theory and insurance demand. Economic Inquiry.
• Schafer, J. P. (2016). Time Discounting in Political Behavior: Delayed Gratification Predicts Turnout and Donations. Available at SSRN.

2015

• Armantier, O., Bruine de Bruin, W., Topa, G., Klaauw, W., & Zafar, B. (2015). Inflation expectations and behavior: Do survey respondents act on their beliefs? International Economic Review, 56(2), 505–536.
• Brown, J. R., Goda, G. S. , & McGarry, K. (2015). Heterogeneity in state‐dependent utility: evidence from strategic surveys. Economic Inquiry, 54(2), 847–861
• Kimball, M.S. (2015). Cognitive economics (No. w20834). National Bureau of Economic Research.

2014

• Boero, G., Smith, J., & Wallis, K. F. (2014). The measurement and characteristics of professional forecasters' uncertainty. Journal of Applied Econometrics.
• Boschini, A., Dreber, A., Von Essen, E., Muren, A., & Ranehill, E. (2014). Gender and economic preferences in a large random and representative sample.
• Niu, G., & van Soest, A. (2014). House price expectations.
• Nowak, S., & Parker, A. (2014). Social network effects of nonlifesaving early-stage breast cancer detection on mammography rates. American Journal Of Public Health, 104(12), 2439-2444.
• Peters, E., Hart, P., Tusler, M., & Fraenkel, L. (2014). Numbers matter to informed patient choices: a randomized design across age and numeracy levels. Medical Decision Making, 34(4), 430-442.
• Rademaekers, J. K., & Johnson-Sheehan, R. (2014). Framing and re-framing in environmental science: explaining climate change to the public. Journal of Technical Writing and Communication, 44(1), 3-21.
• Wuppermann, A. (2014). How prepared are Americans for the Affordable Care Act? Results from a survey of health insurance literacy and health reform knowledge. In Health & healthcare in America: From economics to policy. Ashecon.
• Zvonkovic, A. M., Lee, K. H., Brooks-Hurst, E., & Lee, N. (2014). Recession jitters among professional class families perceptions of economic strain and family adjustments. Journal of Family Issues, 35(6), 755-775.

2013

• Armantier, O., Bruine de Bruin, W., Potter, S., Topa, G., van der Klaauw, W., & Zafar, B. (2013). Measuring inflation expectations. Annual Review of Economics 5(1), 273-301.
• Burke, M. A., & Ozdagli, A. (2013). Household Inflation expectations and consumer spending: Evidence from panel data. Federal Reserve Bank of Boston.
• Bracha, A., & Cooper, D (2013). Asymmetric responses to tax-induced changes in personal income: The 2013 payroll tax hike versus anticipated 2012 tax refunds. Public Policy Brief, 13(4).
• Harrison, G. W., & Phillips, R. D. (2013). Subjective beliefs and statistical forecasts of financial risks: The chief risk officer project (Working paper 2013-08). Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University.
• Hudomiet, P., & Willis, R. J. (2013). Estimating second order probability beliefs from subjective survival data. Decision Analysis, 10(2), 152-170.
• Hurd, M.D., & Rohwedder, S. (2013). Expectations and household spending. Michigan Retirement Research Center.
• Kantarci, T., & van Soest, A. (2013). Stated preference analysis of full and partial retirement in the United States (Working Paper). CESR-Schaeffer.
• Koc, E., & Bloemen, H. (2013). Consumption behaviour and labour market expectations.
• Lumsdaine, R. L., & van Loon, R. J. (2013). Wall street vs. main street: an evaluation of probabilities. National Bureau of Economic Research.
• Parker, A.M., Carvalho, L.S., & Rohwedder, S. (2013). Cognitive ability, expectations, and beliefs about the future: psychological influences on retirement decisions (Research Paper 2013-298). Michigan Retirement Research Center.
• Parker, A.M., Vardavas, R., Marcum, C.S., & Gidengil, C.A. (2013). Conscious consideration of herd immunity in influenza vaccination decisions. American Journal of Preventive Medicine, 45(1), 118-121.

2012

• Delavande, A., & Manski, C.F. (2012). Candidate preferences and expectations of election outcomes. Proceedings of the National Academy of Sciences, 109(10), 3711-3715.
• Dimmock, S.G., Kouwenberg, R., Mitchell, O.S., & Peijnenburg, K. (2012). Measuring ambiguity attitudes in a general population. Interim Report to Netspar. Tilburg, The Netherlands.
• Hurd, M.D., & Rohwedder, S. (2012). Stock price expectations and stock trading (Working Paper No. 17973). Cambridge, MA: National Bureau of Economic Research.

2010

• Bruine de Bruin, W., Potter, S., Rich, R., Topa, G., & van der Klaauw, W. (2010). Improving survey measures of household inflation expectations. Current Issues in Economics and Finance, 16, 1-7.
• Delavande, A., & Manski, C. (2010). Probabilistic polling and voting in the 2008 presidential election. Public Opinion Quarterly, 74(3), 433-459.
• Delavande, A., & Manski, C. (2010). Probabilistic polling and voting in the 2008 presidential election: Evidence from the American Life Panel. Public Opinion Quarterly, 74(3), 433-459.
• Manski, C., & Molinari, F. (2010). Rounding probabilistic expectations in surveys. Journal of Business and Economic Statistics, 28(2), 219-231.

2009

• de Bruin W, Manski C, Topa G, & van der Klaauw, W. (2009). Measuring consumer uncertainty about future inflation. Ipswich, MA: EconLit.

2008

• Delavande, A., & Rohwedder, S. (2008). Eliciting subjective probabilities in internet surveys. Public Opinion Quarterly, 72(5), 866-891.

2007

• Dominitz, J., Hung, A. & van Soest, A. (2007). Future beneficiary expectations of the returns to delayed Social Security benefit claiming and choice behavior (Working Paper 2007-164). Michigan Retirement Research Center, University of Michigan.

Subjective Well-Being

2018

• O’Mara, S. (2018). Stress, Resilience and Positive Brain States. In a Brain for Business–A Brain for Life (pp. 125–138). Palgrave Macmillan, Cham.

2017

• Li, J., Dow, W. H., & Kariv, S. (2017). Social preferences of future physicians. Proceedings of the National Academy of Sciences, 114(48), E10291-E10300.

2016

• Bruine de Bruin, W., Parker, A. M., & Strough, J. (2016). Choosing to be happy? Age differences in amaximizing' decision strategies and experienced emotional well-being. Psychology and Aging, 31(3), 295.

2015

• Fisman, R., Jakiela, P., & Kariv, S. (2015). The distributional preferences of Americans. National Bureau of Economic Research.
• Kapteyn, A., Lee, J., Tassot, C., Vonkova, H., & Zamarro, G. (2015). Dimensions of subjective well-being. Social Indicators Research, 123(3), 625–660.
• Modrek, S., Hamad, R., & Cullen, M. R (2015). Psychological well-being during the Great Recession: Changes in mental health care utilization in an occupational cohort. American Journal of Public Health, 105(2), 304-310.

2014

• Bruine de Bruin, W., Strough, J., & Parker, A. M. (2014). Getting older isn't all that bad: Better decisions and coping when facing "sunk costs". Psychology and Aging, 29(3), 642.
• Dahlin, M. B., Kapteyn, A., & Tassot, C. (2014). Who are the Joneses? (Working Paper 2014-004). CESR-Schaeffer.
• Harrison, G. W. (2014). Hypothetical surveys or incentivized scoring rules for eliciting subjective belief distributions? Vol. 5 (Working Paper).
• Kapteyn, A. (2014). Where the streets have no name: Comparing, rating and happiness in the US. In Health & healthcare in America: From economics to policy. Ashecon.
• Sanchez A, & Tassot C. (2014). An exploration of the determinants of the subjective well-being of Americans during the Great Recession. Ipswich, MA: EconLit.
• Theodos, B., Kalish, E., McKernan, S. M., & Ratcliffe, C. (2014). Do financial knowledge, behavior, and well-being differ by gender?.
• Zimmermann, S. (2014). The pursuit of subjective well-being through specific consumption choice.
• Zvonkovic, A. M., Lee, K. H., Brooks-Hurst, E., & Lee, N. (2014). Recession jitters among professional class families perceptions of economic strain and family adjustments. Journal of Family Issues, 35(6), 755-775.

2013

• Delprat, G., Leroux, M. L., & Michaud, P. C. (2013). Evidence on individual preferences for longevity risk. Journal of Pension Economics and Finance, 1-20.
• Dimmock, S., Kouwenberg, R., Mitchell, O., Peijnenburg, K. (2013). Ambiguity attitudes and economic behavior. Ipswich, MA: EconLit.
• Dimmock, S. G., Kouwenberg, R., Mitchell, O. S., & Peijnenburg, K. (2013). Ambiguity aversion and household portfolio choice: Empirical evidence. National Bureau of Economic Research.
• Harrison, G. W., & Phillips, R. D. (2013). Subjective beliefs and statistical forecasts of financial risks: The chief risk officer project (Working Paper 2013-08). Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University.
• Hudomiet, P., & Willis, R. J. (2013). Estimating second order probability beliefs from subjective survival data. Decision Analysis, 10(2), 152-170.
• Hurd, M. D. (2013). Lifecycle events and their consequences: Job loss, family change, and declines in health. Health, 97.
• Kapteyn, A., Smith, J. P., & van Soest, A. (2013). Are Americans really less happy with their incomes?. Review of Income and Wealth, 59(1), 44-65.
• Kapteyn, A., Lee, J., Tassot, C., Vonkova, H., & Zamarro, G. (2013). Dimensions of subjective well-being. Social Indicators Research, 1-36.
• Mitchell, O. S., & Smetters, K. (2013). The market for retirement financial advice. Oxford University Press.
• Modrek, S., & Cullen, M. R. (2013). Job insecurity during recessions: Effects on survivors' work stress. BMC public health, 13(1), 929.
• Stone, A. A., & Mackie, C. (2013). Conceptualizing experienced (or hedonic) well-being.
• Stone, A. A., & Mackie, C. (2013). Measuring experienced well-being.
• Stone, A. A., & Mackie, C. (2013). The subjective well-being module of the American time use survey: Assessment for its continuation.

2012

• Kimball, M. S., Benjamin, D., Heffetz, O., & Szembrot, N. (2012). Beyond happiness and satisfaction: Towards well-being indexes based on stated preference. Unpublished manuscript, Survey Research Center, University of Michigan.

2010

• Kapteyn, A., Smith, J., & van Soest, A. (2010). Life satisfaction. In E. Diener, J. F. Helliwell, D. Kahneman (Eds.), International Differences in Well-Being (pp. 70-104). Oxford University Press.

Methodology

2018

• Das, M., Kapteyn, A., & Bosnjak, M. (2018). Open probability-based panel infrastructures. In The Palgrave Handbook of Survey Research (pp. 199–209). Palgrave Macmillan, Cham.
• Cheng, A., Zamarro, G., & Orriens, B. (2018). Personality as a predictor of unit nonresponse in an internet panel. Sociological Methods & Research, 0049124117747305.
• Kerry, M. J. (2018). Empirical Tryout of a new statistic for detecting temporally inconsistent responders. Frontiers in Psychology, 9, 518.
• Manski, C. F. (2018). Survey measurement of probabilistic macroeconomic expectations: progress and promise. NBER Macroeconomics Annual, 32(1), 411–471.
• Tasoff, J., & Zhang, W. (2018). The performance of time-preference and risk-preference elicitations in survey.
• Samphantharak, K., Schuh, S., & Townsend, R. M. (2018). Integrated household surveys: an assessment of US methods and an innovation. Economic Inquiry, 56(1), 50–80.

2017

• Stango, V., Yoong, J., & Zinman, J. (2017). The quest for parsimony in behavioral economics: New methods and evidence on three fronts (No. w23057). National Bureau of Economic Research.
• Bond, C. A., & Shatz, H. J. (2017). US Consumer preferences for telephone and internet services: Evidence from the RAND American Life Panel. RAND Corporation.
• Pollard, M., & Baird, M. D. (2017). The RAND American Life Panel. RAND Corporation.

2016

• Bond, C. , & Shatz, H. (2016). US consumer preferences for telephone and internet services. RAND Corporation.
• Cheng, A., Zamarro, G., & Orriens, B. (2016). Personality as a predictor of unit nonresponse in panel data: an analysis of an internet-based survey. University of Arkansas.
• DiSogra, C., & Callegaro, M. (2016). Metrics and design tool for building and evaluating probability-based online panels. Social Science Computer Review, 34(1), 26–40.
• Heckman, S. J., Seay, M. C., Kim, K. T., & Letkiewicz, J. (2016). Household use of financial planners: Measurement considerations for researchers.
• Lugtig, P. J., & Toepoel, V. (2016). Mobile-only web survey respondents. Survey Practice, 9(3), 1–8.
• Mihm, M. (2016). Reference dependent ambiguity. Journal of Economic Theory, 163, 495–524.
• Pollard, M. , & Mendelsohn, J. (2016). Methodology of the 2016 RAND Presidential Election Panel Survey (PEPS). RAND Corporation.

2015

• Carman, K. G., & Eibner, C. (2015). Methodology of the RAND Health Reform Opinion Study. RAND Health Quarterly, 5(2).
• Delaney, R., Strough, J., Parker, A. M., & de Bruin, W. B. (2015). Variations in decision-making profiles by age and gender: A cluster-analytic approach. Personality and Individual Differences, 85, 19–24.
• Delavande, A., & Manski, C. F. (2015). Using elicited choice probabilities in hypothetical elections to study decisions to vote. Electoral studies, 38, 28–37.
• Hays, R. D., Liu, H., & Kapteyn, A. (2015). Use of internet panels to conduct surveys. Behavior Research Methods, 47(3), 685–690.
• Kimball, M. S. (2015). Cognitive economics (No. w20834). National Bureau of Economic Research.
• Mortimore R. (2015). Recent articles in the field of public opinion research. International Journal Of Public Opinion Research, 22(4), 563-567.

2014

• Boero, G., Smith, J., & Wallis, K. F. (2014). The measurement and characteristics of professional forecasters' uncertainty. Journal of Applied Econometrics.
• Carman, K. G., & Pollard, M. (2014). Methodology of the RAND midterm 2014 election panel.
• Carroll, C. D., Crossley, T. F., & Sabelhaus, J (2014). Introduction to "improving the measurement of consumer expenditures". University of Chicago Press.
• Fricker, S., Kopp, B., & To, N. (2014). Exploring a balance edit approach in the consumer expenditure quarterly interview survey. University of Chicago Press.
• Giustinelli, P. (2014). Measuring intergenerational linkages on the ALP-HRS: A pilot study.
• Harrison, G. W. (2014). Hypothetical surveys or incentivized scoring rules for eliciting subjective belief distributions? Vol. 5 (Working Paper).
• Kunovskaya, I. A., Cude, B. J., & Alexeev, N. (2014). Evaluation of a financial literacy test using classical test theory and item response theory. Journal of Family and Economic Issues, 35(4), 516-531.
• Schonlau, M., Weidmer, B., & Kapteyn, A. (2014). Recruiting an internet panel using respondent-driven sampling. Journal of Official Statistics, 30(2), 291-310.
• Schuh, S., & Stavins, J. (2014). The 2011 and 2012 surveys of consumer payment choice (Research Data Report, 14-1).
• Struminskaya, B. (2014). Data quality in probability-based online panels: Nonresponse, attrition, and panel conditioning.
• Traugott, M. W. (2014). New directions in presidential-election research. Public Opinion Quarterly, 78(S1), 201-203.

2013

• Blom, A. G., Gathmann, C., & Krieger, U. (2013). The German internet panel: Method and results (Unpublished manuscript).
• Bosnjak, M., Haas, I., Galesic, M., Kaczmirek, L., Bandilla, W., & Couper, M. P. (2013). Sample composition discrepancies in different stages of a probability-based online panel. Field Methods.
• Gutsche, T., & Weerman, B. (2013). Panel management techniques for high intensity surveys (Working Paper). CESR.
• Gutsche, T., Kapteyn, A., Meijer, E., & Weerman, B. (2013). The RAND continuous 2012 presidential election poll (Working Paper No. 2013-003). CESR.
• Hitczenko, M. (2013). Modeling anchoring effects in sequential likert scale questions (no. 13-15).
• Hitczenko, M. (2013). Optimal recall period length in consumer payment surveys (no. 13-16).
• Hoffmann, S. (2013). Essays on the measurement of economic concepts in surveys (Doctoral dissertation). Loyola Marymount University.
• Kariv, S., & Silverman, D. (2013). An old measure of decision-making quality sheds new light on paternalism. Journal of Institutional and Theoretical Economics JITE, 169(1), 29-44.
• Kuziemko, I., Norton, M. I., Saez, E., & Stantcheva, S. (2013). How elastic are preferences for redistribution? Evidence from Randomized survey experiments. National Bureau of Economic Research.
• Weller, J. A., Dieckmann, N. F., Tusler, M., Mertz, C. K., Burns, W. J., & Peters, E. (2013). Development and testing of an abbreviated numeracy scale: A Rasch analysis approach. Journal of Behavioral Decision Making, 26(2), 198-212.
• Tourangeau, R., Fricker, S., Kopp, B., & Tan, L. (2013). Consumer expenditure survey measurement error study phase.

2012

• Angrisani M., Kapteyn A., & Schuh S. (2012). Measuring household spending and payment habits: The role of 'typical' and 'specific' time frames in survey questions (Forthcoming). In C. Carroll, T. F. Crossley, J. Sabelhaus (Eds.), Improving the measurement of consumer expenditures. Chicago, IL and London: Chicago University Press.
• Bruine de Bruin, W., Parker, A. M., & Strough, J. N. (2012). Sunk-cost decisions and aging (Manuscript).
• Bruine de Bruin, W., van der Klaauw, W., Topa, G., Downs, J. S., Fischhoff, B., & Armantier, O. (2012). The effect of question wording on consumers reported inflation expectations. Journal of Economic Psychology, 4, 749-757.
• Caro, F. G., Gottlieb, A., Homann, S., Kapteyn, A., & Winter, J. (2012). Supporting decisions of patients considering knee replacement surgery for osteoarthritis: The relative importance of supplementary information (Manuscript). Boston, MA: University of Massachusetts.
• Caro, F. G., Ho, T., McFadden, D., Gottlieb, A., Yee, C., Chan, T., & Winter, J. (2012). Using the internet to administer more realistic vignette experiments. Social Science Computer Review, 30, 184-201.
• Couper, M. P., Ofstedal, M. B., & Lee, S. (2012, July/August). Encouraging record use in an online survey. Paper presented at the Joint Statistical Meetings, San Diego.
• Couper, M. P., Ofstedal, M. B., Hubbard, F., & Weir, D. (2012, July). Mode effects in a panel study. Paper presented at the International Panel Survey Methods Workshop, Melbourne, Australia.
• Hurd, M. D., & Rohwedder, S. (2012). Measuring total household spending in a monthly internet survey: Evidence from the American Life Panel (Forthcoming). In C. Carroll, T. F. Crossley, & J. Sabelhaus, (Eds.), Improving the measurement of consumer expenditures. Chicago, IL and London: Chicago University Press.
• Hurd, M. D., & Rohwedder, S. (2012). The effect of varying the length of the recall period when eliciting household spending (Manuscript). Santa Monica, CA: RAND Corporation.
• Kimball, M. S., Sahm, C. R., & Shapiro, M. (2012). New survey evidence on the elasticity of intertemporal substitution (Manuscript). Survey Research Center, University of Michigan.
• Schonlau, M., & Peters, E. (2012). Comprehension of graphs and tables depends on the task: Empirical evidence from two web-based studies (Under review). Statistics, Politics and Policy.

2011

• Armantier, O., Bruine de Bruin, W., Topa, G., van der Klaauw, W., & Zafar, B. (2011). Inflation expectations and behavior: Do survey respondents act on their beliefs? (Staff Report No. 509). Federal Reserve Bank of New York.
• Bruine de Bruin, W., Parker, A. M., & Maurer, J. (2011). Assessing small non-zero perceptions of chance: The case of H1N1 (swine) flu risks. Journal of Risk and Uncertainty, 42(2), 145-159.
• Bruine de Bruin, W., Manski, C. F., Topa, G., & van der Klaauw, W. (2011). Measuring consumer uncertainty about future inflation. Journal of Applied Econometrics, 26(3), 454-478.
• Hsu, J. W., Fisher, G., & Willis, R. J. (2011). Internet access and cognitive ability: Analysis of selectivity of internet interviews in the cognitive economics survey. In J. W. Hsu, Essays on the acquisition of human capital, Ch. 3, (Doctoral dissertation). University of Michigan.
• Hsu, J. W., & McFall, B. H. (2011). Mode effects in mixed-mode surveys: Insight from the cognitive economics study (Manuscript). Ann Arbor, MI: University of Michigan.
• Kapteyn, A., Smith, J., van Soest, A., & Vonkova, H. (2011). Anchoring vignettes and response consistency (Working Paper WR-840). Santa Monica, CA: RAND Corporation.
• Kapteyn, A., & Teppa, F. (2011). Subjective measures of risk aversion, fixed costs, and portfolio choice. Journal of Economic Psychology, 32, 564-580.
• Schuldt, J., Konrath, S., & Schwarz, N. (2011). "Global warming" or "climate change"? Whether the planet is warming depends on question wording. Public Opinion Quarterly, 75(1), 115-124.
• van Soest, A., Delaney, L., Harmon, C., Kapteyn, A., & Smith, J. P. (2011). Validating the use of vignettes for subjective threshold scales. Journal of the Royal Statistical Society A, 174, 575-595.

2010

• Bruine de Bruin, W., van der Klaauw, W., Downs, J. S., Fischhoff, B., Topa, G., & Armantier, O. (2010). Expectations of inflation: The role of financial literacy and demographic variables. Journal of Consumer Affairs, 44, 381-402.
• Bruine de Bruin, W., Potter, S., Rich, R., Topa, G., & van der Klaauw, W. (2010). Improving survey measures of household inflation expectations. Current Issues in Economics and Finance, 16, 1-7.
• Bruine de Bruin, W., van der Klaauw, W., Downs, J. S., Fischhoff, B., Topa, G., & Armantier, O. (2010). The effect of question wording on reported expectations and perceptions of inflation (Staff Report No. 443). Federal Reserve Bank of New York.
• Delavande A, & Manski C. (2010). Probabilistic polling and voting in the 2008 presidential election. Public Opinion Quarterly, 74(3), 433-459.
• van Soest, A. & Kapteyn, A. (2010). Mode and context effects in measuring household assets. In M. Das, P. Ester, & L. Kazcmirek (Eds.), Social research and the internet (pp. 291-324). Routledge.

2009

• Bruine de Bruin, W., Manski, C. F., Topa, G., & van der Klaauw, W. (2009). Measuring consumer uncertainty about inflation (Staff Report No. 415). Federal Reserve Bank of New York.
• Schonlau, M., van Soest, A., Kapteyn, A., & Couper M. (2009). Selection bias in web surveys and the use of propensity scores. Sociological Methods & Research, 37, 291-318.
• Smith, J. P. (2009). Re-constructing childhood health histories. Demography, 46(2), 387-403.

2008

• Schonlau, M., & Peters, E. (2008). Graph comprehension: An experiment in displaying data as bar charts, pie charts and tables with and without the gratuitous 3rd dimension (Working Paper WR-618). RAND Corporation.
• van der Klaauw, W., Bruine de Bruin, W., Topa, G., Potter, S., & Bryan, M. (2008). Rethinking the measurement of household inflation expectations: Preliminary findings (Staff Report No. 359). Federal Reserve Bank of New York.

2007

• Couper, M. P., Kapteyn, A., Schonlau, M., & Winter, J. (2007). Noncoverage and nonresponse in an internet survey. Social Science Research, 36(1), 131-148.
• Schonlau, M., Kapteyn, A., & van Soest, A. (2007). Are webographic or attitudinal questions useful for adjusting estimates from web surveys using propensity scoring?. Survey Research Methods 1,(3), 155-163.