Software to Estimate Model of Business Turnover Using the Characteristics of Business Owners Data Base (ICPSR 1081)
Version Date: Jan 3, 1996 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
Thomas J. Holmes;
James A. Schmitz
https://doi.org/10.3886/ICPSR01081.v1
Version V1
Summary View help for Summary
These data and/or computer programs 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. Users should consult the INVESTIGATOR(S) if further information is desired.
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Data Collection Notes View help for Data Collection Notes
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No hard copy documentation. The actual data used for the project cannot be archived because this would violate disclosure rules at the U.S. Census. The authors have instead included a simulated dataset for use with the software. The data were obtained by taking the Model 2 parameters described in their April 1994 working paper and solving for the equilibrium. They then assumed that the total measure of firms in the model economy was 15737 (the number of observations in the actual Census dataset). From the equilibrium cell fractions they calculated the measure of firms in each cell. They then rounded these measures so they would take on integer values.
Original Release Date View help for Original Release Date
1996-01-03
Version History View help for Version History
- Holmes, Thomas J., and James A. Schmitz. Software to Estimate Model of Business Turnover Using the Characteristics of Business Owners Data Base. ICPSR01081-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1996-01-03. http://doi.org/10.3886/ICPSR01081.v1
Notes
These data are flagged as replication datasets and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.