RAND HRS Family Data 2014 (V1), supported by NIA and HRS
The RAND HRS Family data file is a user-friendly version of HRS family data. The data contain a cleaned, processed, and streamlined collection of variables related to the Respondent’s family. The files include a subset of available characteristics of all children of HRS Respondents and spouses, data on children-in-law, and data on grandchildren of the Respondent.
The files are longitudinal files that link HRS child families within wave and link HRS children across waves. They contain consistent variable names across waves and will easily merge with other HRS data, such as the RAND HRS Longitudinal File and RAND HRS Fat Files. The files are distributed as two alternative longitudinal files: one with Respondent-child observations with variables specific to parent-child pairs, and one with Respondent observations with summary variables about the Respondent’s children.
The RAND HRS Family Data 2014 (V1) contain data for the years 1992, 1993, 1994, 1995, 1996, 1998, 2000, 2002, 2004, 2006, 2008, 2010, 2012, and early release 2014. The files incorporate only the core interviews. They do not include exit interviews or any restricted data.
To access the data:
- All HRS and RAND HRS data products are available at: https://hrs.isr.umich.edu/data-products.
- Click the "Register and Access Public Data" link in the bottom left-hand corner of the page.
- If you are not registered with HRS, please click the "New Users" link. Registration is free. You will receive a password within 24 hours.
- Once your account is active, please click the "Registered Users" link, and enter your Userid and Password.
- Click on the "Data Downloads" link, and you will be brought to a page that contains the various data sources that are available for download.
- The RAND HRS Family Data 2014 (V1) can be found in the “RAND Contributed Files” section on the right-hand side of the page.
For more detailed information, please see the following documents:Family Data Codebook (PDF Download)
Before doing so, however, we kindly request that users first consult the documentation that accompanies our data products, as we have found that our responses often point users to specific sections of the documentation that provide further detail on the variables mentioned in the users’ queries.
In addition, we recommend that users become familiar with some of the information provided on the HRS website, such as the HRS questionnaires and codebooks for the key variables under study.
We have also found the concordance tool extremely useful to help find available variables across waves: