Prior to 1992 the PSID provided estimates of federal income tax payments for each tax unit in a PSID family based on simulations. From 1992 forward it has been up to users to make these calculations. Most users take advantage of NBER’s TAXSIM, which makes it quite easy to calculate this information.

describes how best to use the PSID data with TAXSIM.

provide a method for calculating income and payroll taxes from PSID data 1999-2015 using TAXSIM. This link provides an updated paper and two Stata programs describing a method to calculate income and payroll taxes from Panel Survey of Income Dynamics data using the NBER's Internet TAXSIM version 27 , and two Stata data sets for PSID survey years 1999 - 2015.

Lloyd D. Grieger created census-based poverty thresholds for each PSID family, 1968-2005. These data may be accessed through the ICPSR PSID Data Repository.

A SAS program which creates tax variables for the 1991 family dataset.

Cleaned cross-sections of Family Unit data focused on the Philanthropy Module and a few important demographics and characteristics of families (e.g., income, wealth, etc.). Prepared by researchers at the IU Lilly Family School of Philanthropy. These data may be accessed through the ICPSR PSID Data Repository.

Lee A. Lillard developed a unique method for analyzing the rich compendium of data collected by the PSID since its inception in 1968. Dr. Lillard created what he called "clean processes" to investigate a number of dynamic behaviors that are measured longitudinally in PSID, such as employment, marriage-divorce, and fertility.

Johanne Boisjoly, Greg Duncan, and Tim Smeeding recoded, for the years 1968-1992, "job loss" data into the categories of laid-off, fired, quit, company folded, and missing. These data may be accessed through the ICPSR PSID Data Repository.

In 1996, Miles S. Kimball, Claudia R. Sahm, and Matthew D. Shapiro used the questions M1-M5 asked in the 1996 Family Interview to impute variables of risk tolerance and risk aversion. For information about the construction of these variables please refer to their paper: Risk Preferences in the PSID: Individual Imputations and Family Covariation." by Miles S.Kimball, Claudia R. Sahm, and Matthew D. Shapiro. American Economic Review Papers and Proceedings 99 (May 2009) 363-368, which may be found on our website:

Risk Preferences in the PSID: Individual Imputations and Family Covariation

Please find additional helpful information in the Appendix also found on our website:  Risk Tolerance Appendix

These data may be accessed through the ICPSR PSID Data Repository.

The Cross-National Equivalent File contains equivalently defined variables for the PSID and PSID-like studies in several other countries.

The Food Access Module (FAM) to the PSID is a data resource for researchers interested in examining how the physical food environment is associated with individual well-being in the United States using a nationally representative, longitudinal dataset. Created primarily from data drawn from the National Establishment Time-Series (NETS), a commercial database, FAM contains geographic indicators of various categories of food establishments across the United States from PSID waves 2001 to 2015.

The Food Access Module is available via restricted data contract. Information on obtaining the data is located here.