Dynamics of Economic and Demographic Behavior: "Clean Processes" From the Panel Study of Income Dynamics (PSID) (ICPSR 1239)
- Lillard, Lee A. (University of Michigan)
Abstract***Note: This information is correct as of the last updates to these files [05/17/2001]***
Lee A. Lillard, director of the Retirement Research Center at the University of Michigan, senior research scientist at its Institute for Social Research, and professor of economics, developed a unique method for analyzing the rich compendium of data collected by the Panel Study of Income Dynamics (PSID) since its inception in 1968. Lee died in December 2000, and his colleagues at PSID decided to provide the fruits of his work to the research community so others might benefit from an exploration of his techniques and methodologies for analyzing data. Lee 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. He and his programmers and research assistants put these processes into a consistent framework, and made decisions about how to resolve inconsistencies, missing items, etc. Data from the files can be entered, as appropriate, in dynamic econometric models of related and mutually causal processes: for instance, the relationships among marriage, fertility, and female labor supply. Thus, researchers can study various combinations of these behaviors without having to go through complex file creation for each project.
Citation:Lillard, Lee A. Dynamics of Economic and Demographic Behavior: “Clean Processes” From the Panel Study of Income Dynamics (PSID). Inter-university Consortium for Political and Social Research [distributor], 2001-05-17. https://doi.org/10.3886/ICPSR01239.v1
***Note: This information is correct as of the last updates to these files [05/17/2001]***
(1) This collection contains hundreds of individual SAS data, documentation, and SAS program files that are organized into three groups of files (directories): Programs, Data, and Docs. There are a number of subdirectories inside each of these groups. For example, Programs contains subdirectories that focus on topics or processes such as "Earnings", "Death", "Employment", etc. Each of these subdirectories has a number of SAS programs that generate SAS data files with a corresponding name. For example, researchers interested in the income "process" can examine the SAS program called income.sas. It will produce a file called income.ssd01 and put it in the Data directory. The Docs directory will provide the documentation for this data file. (2) Consult the file "lillard.doc" for further information and additional bibliographic citations. (3) The documentation and program files are in ASCII and the SAS data files are in binary format. (4) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material.
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Update Metadata: 2020-12-03 | Issue Number: 1 | Registration Date: 2020-12-03