Replication data for: Income Volatility and the PSID: Past Research and New Results

Principal Investigator(s): View help for Principal Investigator(s) Robert Moffitt; Sisi Zhang

Name	File Type	Size	Last Modified
LICENSE.txt	text/plain	14.6 KB	10/12/2019 08:58:PM
PSID2015_analysis.do	text/plain	9.5 KB	10/12/2019 08:58:PM
ReadMe_Update.pdf	application/pdf	67.6 KB	11/19/2024 04:29:PM
change.txt	text/plain	78 bytes	11/19/2024 04:31:PM
est_GMM.m	text/plain	608 bytes	10/12/2019 08:58:PM
est_main.m	text/plain	7 KB	10/12/2019 08:58:PM
est_merge_ind.do	text/plain	1.4 KB	10/12/2019 08:58:PM
est_mom.m	text/plain	4 KB	10/12/2019 08:58:PM
est_se_GMM.m	text/plain	189 bytes	10/12/2019 08:58:PM
estnotime_GMM.m	text/plain	620 bytes	10/12/2019 08:58:PM

Project Citation:

Moffitt, Robert, and Zhang, Sisi. Replication data for: Income Volatility and the PSID: Past Research and New Results. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-11-26. https://doi.org/10.3886/E114451V2

Project Description

Summary: The PSID has major advantages for studying income volatility and, because of this, research using it has been responsible for major improvements in the methodology of studying income volatility. Its research on calendar trends finds a reasonably consistent pattern for phased but rising male earnings volatility since 1970. Female earnings volatility has declined and household income volatility has risen. Some other datasets find similar patterns but others do not, suggesting the need for more research. A new earnings volatility model is estimated on PSID men through 2014, showing similar patterns but with a large jump during the Great Recession.

Scope of Project

Subject Terms: Income volatility

JEL Classification:
      C81 Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
      D31 Personal Income, Wealth, and Their Distributions
      J31 Wage Level and Structure; Wage Differentials

Geographic Coverage: United States

Time Period(s): 1970 – 2016

Data Type(s): survey data

Methodology

Data Source: Panel Study of Income Dynamics

Unit(s) of Observation: Individual,

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Published Versions

V2 [2024-11-26]

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Dublin Core

DDI 2.5

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