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On Measurement of the Average Unemployment Duration using Russian Longitudinal Monitoring Survey data

Author

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  • Furmanov, Kirill

    (National Research University Higher School of Economics, Russia)

Abstract

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

Suggested Citation

  • Furmanov, Kirill, 2009. "On Measurement of the Average Unemployment Duration using Russian Longitudinal Monitoring Survey data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 74-99.
  • Handle: RePEc:ris:apltrx:0033
    as

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    References listed on IDEAS

    as
    1. Neumann, G.R., 1995. "Search Models and Duration Data," Working Papers 95-11, University of Iowa, Department of Economics.
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    4. Stephen W. Salant, 1977. "Search Theory and Duration Data: A Theory of Sorts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(1), pages 39-57.
    5. Foley, M.C., 1997. "Determinants of Unemployment Duration in Russia," Papers 779, Yale - Economic Growth Center.
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    More about this item

    Keywords

    Unemployment duration; hazard function; panel data;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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