Citation Instructions

1. Using the table below, please cite both the HRS Data and the RAND HRS data products as follows:

Health and Retirement Study, ([RAND HRS Product Name]) public use dataset. Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG009740). Ann Arbor, MI, ([Year]).

[RAND HRS Product Name]. Produced by the RAND Center for the Study of Aging, with funding from the National Institute on Aging and the Social Security Administration. Santa Monica, CA ([Release Date]).

2. In addition, please include the following in the text of your paper:

The HRS (Health and Retirement Study) is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan.

3. You may also want to include a footnote the first time you refer to a RAND HRS data product in the text of your paper. All footnotes should be written as follows:

[Description]. This file was / These files were developed at RAND with funding from the [Funding Source(s)].

For example, using the description of the RAND HRS Longitudinal File in the table below, the footnote would read as follows:

The RAND HRS Longitudinal File is an easy-to-use dataset based on the HRS core data. This file was developed at RAND with funding from the National Institute on Aging and the Social Security Administration.

RAND HRS Product Name Year Release Date Description Funding Source(s)
RAND HRS Longitudinal File 2014 (V2) 2018 February 2018 The RAND HRS Longitudinal File is an easy-to-use dataset based on the HRS core data. National Institute on Aging and the Social Security Administration
RAND HRS Detailed Imputations File 2014 (V2) 2018 February 2018 The RAND HRS Detailed Imputations File contains the component and ownership variables that were used to create the income, wealth, and medical expenditures summary measures found in the RAND HRS Longitudinal File. National Institute on Aging and the Social Security Administration
RAND HRS Family Data 2014 (V2) 2018 April 2018 The RAND HRS Family Data contain detailed information about the characteristics of respondents' families, including kids, kids-in-law, parents and siblings. National Institute on Aging and the Health and Retirement Study
RAND HRS CAMS Spending Data 2015 (V2) 2017 August 2017 The RAND HRS CAMS Spending Data is a longitudinal dataset that contains data for respondents who completed Part B (Consumption) of the CAMS survey at least once. National Institute on Aging and the Social Security Administration
RAND HRS Exit/Post-Exit Interview and Finder Files 2014 (V1) 2017 April 2017 The RAND HRS Exit/Post-Exit Interview Files combine the Exit and Post-Exit Interviews into one dataset per survey year. The Finder File allows users to identify which years Exit and Post-Exit interviews are available for each respondent. National Institute on Aging
RAND HRS Tax Calculations 2014 (V1) 2017 April 2017 The RAND HRS Tax Calculations contain information about federal, state, and FICA taxes for respondents to the HRS 2000 – 2014 surveys. National Institute on Aging and the Social Security Administration
RAND HRS Fat Files
RAND HRS 1992 Fat File (V1B) 1992 June 2004
(h92f1b and hd92f1b)
The RAND HRS Fat Files take almost all the raw variables from the HRS survey, and collapse them into a single respondent-level dataset for each wave. National Institute on Aging
RAND HRS 1993 Fat File (V2A) 1993 June 2004
(a93f2a and ad93f2a)
RAND HRS 1994 Fat File (V1A) 1994 June 2004
RAND HRS 1995 Fat File (V2B) 1995 February 2013
(a95f2b and ad95f2b)
RAND HRS 1996 Fat File (V4A) 1996 April 2006
RAND HRS 1998 Fat File (V2C) 1998 May 2011 (h98f2c)
April 2013 (hd98f2c)
RAND HRS 2000 Fat File (V1C) 2000 April 2008
RAND HRS 2002 Fat File (V2C) 2002 September 2017
RAND HRS 2004 Fat File (V1B) 2004 October 2017
RAND HRS 2006 Fat File (V3A) 2006 October 2017
RAND HRS 2008 Fat File (V3A) 2008 October 2017
RAND HRS 2010 Fat File (V5E) 2010 February 2018
RAND HRS 2012 Fat File (V2A) 2012 February 2018
RAND HRS 2014 Fat File (V2A) 2014 February 2018