Erik Meijer

Erik Meijer

Adjunct Economist

Erik Meijer is an adjunct economist at RAND. Much of his current research is in the economics of aging: health, cognition, Social Security, retirement, saving, and investment. Recent and ongoing work includes studying cross-country differences in health and cognition, the effects of retirement on cognitive decline, and the relationships between job characteristics and retirement. He is part of the team that creates and maintains the RAND version of the Health and Retirement Study (HRS) and specifically oversees the imputations of income, wealth, and other economic variables.

An important area of Meijer's research and development is data collection, data dissemination, and data quality. He was trained in both econometrics and psychometrics, and a significant body of his research is devoted to applying psychometric measurement models to economic problems. In addition, he has worked on a variety of other topics in economics, econometrics, psychometrics, and statistics, such as preference heterogeneity and individual choices in labor supply, housing demand, and travel demand; bias correction and variance estimation in clustered samples; sample selectivity; central bank independence; and money supply. Meijer is also an economist at the Center for Economic and Social Research at the University of Southern California (USC).

Meijer received his Ph.D. in social sciences from Leiden University.

Education

Ph.D. in social sciences, Leiden University; M.A. in econometrics, University of Groningen

Concurrent Non-RAND Positions

Senior Economist, Center for Economic and Social Research, University of Southern California

Selected Work

  • Bugliari, D., Birnbaum, D., Carroll, J., Hayes, J., Hollister, B., Hurd, M. D., Lee, S., Main, R., Meijer, E., Pantoja, P., & Rohwedder, S., RAND HRS Longitudinal File 2022 (V1) Documentation, RAND Center for the Study of Aging, 2025
  • Jung, D., Lee, J., & Meijer, E., "Revisiting the effect of retirement on Cognition: Heterogeneity and endowment," The Journal of the Economics of Ageing, 21, 2022
  • Hurd, M. D., Meijer, E., Moldoff, M., & Rohwedder, S., "Reducing cross-wave variability in survey measures of household wealth," Journal of Economic and Social Measurement, 44, 2019
  • Angrisani, M., Hurd, M. D., Meijer, E., Parker, A. M., & Rohwedder, S., "Personality and employment transitions at older ages: Direct and indirect effects through non-monetary job characteristics," Labour, 31, 2017
  • Meijer, E., & Karoly, L. A, "Representativeness of the low-income population in the Health and Retirement Study," The Journal of the Economics of Ageing, 9, 2017
  • Galama, T. J., Hullegie, P., Meijer, E., & Outcault, S., "Is there empirical evidence for decreasing returns to scale in a health capital model?" Health Economics, 21, 2012
  • Meijer, E., Rohwedder, S., & Wansbeek, T., "Measurement error in earnings data: Using a mixture model approach to combine survey and register data," Journal of Business & Economic Statistics, 30, 2012
  • Meijer, E., Karoly, L. A., & Michaud, P.-C., "Using matched survey and administrative data to estimate eligibility for the Medicare Part D low-income subsidy program," Social Security Bulletin, 70(2), 2010

Authored by Erik Meijer

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