On Measurement of the Average Unemployment Duration using Russian Longitudinal Monitoring Survey data
Questions concerning analysis of the unemployment duration using RLMS data are considered. It is shown that estimates of the average unemployment duration and the hazard function based on these data obtained in the earlier research are seriously biased. A new method of analyzing the duration of unemployment using RLMS is proposed in the paper. Estimates of the average unemployment duration which agree with the estimates by Rosstat are obtained. The proposed method can be used for estimation of various econometric duration models
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Foley, M.C., 1997. "Determinants of Unemployment Duration in Russia," Papers 779, Yale - Economic Growth Center.
- Mark C. Foley, 1997. "Determinants of Unemployment Duration in Russia," William Davidson Institute Working Papers Series 81, William Davidson Institute at the University of Michigan.
- Louise Grogan & Gerard J. van den Berg, 1999.
"The Duration of Unemployment in Russia,"
Tinbergen Institute Discussion Papers
99-011/3, Tinbergen Institute.
- Corak, Miles & Heisz, Andrew, 1995.
"Alternative Measures of the Average Duration of Unemployment,"
Analytical Studies Branch Research Paper Series
1995083e, Statistics Canada, Analytical Studies Branch.
- Corak, Miles & Heisz, Andrew, 1996. "Alternative Measures of the Average Duration of Unemployment," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 42(1), pages 63-74, March.
- Stephen W. Salant, 1974.
"Search theory and duration data: a theory of sorts,"
Special Studies Papers
42, Board of Governors of the Federal Reserve System (U.S.).
- Stephen W. Salant, 1977. "Search Theory and Duration Data: A Theory of Sorts," The Quarterly Journal of Economics, Oxford University Press, vol. 91(1), pages 39-57.
- Nickell, Stephen J, 1979. "Estimating the Probability of Leaving Unemployment," Econometrica, Econometric Society, vol. 47(5), pages 1249-1266, September.
- Mark C. Foley, 1997. "Determinants of Unemployment Duration in Russia," Working Papers 779, Economic Growth Center, Yale University.
- Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
- Baker, G M & Trivedi, P K, 1985. "Estimation of Unemployment Duration from Grouped Data: A Comparative Study," Journal of Labor Economics, University of Chicago Press, vol. 3(2), pages 153-174, April.
- Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0033. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anatoly Peresetsky)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.