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Modelling Nonlinear Behavior of Labor Force Participation Rate by STAR: An Application for Turkey

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  • Cengiz, Sibel
  • Sahin, Afsin

Abstract

During the economic crisis periods, due to the discouraged worker and added worker effects, we may not gather healthy information from the unemployment rates concerning the labor market. For this reason, it is claimed in the literature that the Labor Force Participation Rate (LFPR) may be a better indicator than the unemployment rate during the economic crises. When the time series data exhibits asymmetry and nonlinearity during the recessions, the LFPR tends to diminish. Following, the unemployment rate may decrease because of the diminishment in LFPR. To add more, it may not reflect the actual aspects of the market. As a result while considering the unemployment rate we should also observe the LFPR. The participation decision of labor in the course of shocks depends on the coherence of the labor market to the fluctuations. On the other hand, during the expansions, the LFPR increases gradually. The behavior and the univariate properties of the LFPR also vary differently considering the gender non-similarities.

Suggested Citation

  • Cengiz, Sibel & Sahin, Afsin, 2013. "Modelling Nonlinear Behavior of Labor Force Participation Rate by STAR: An Application for Turkey," MPRA Paper 47805, University Library of Munich, Germany, revised 07 May 2013.
  • Handle: RePEc:pra:mprapa:47805
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    More about this item

    Keywords

    Labor Force Participation Rate; Asymmetry; Nonlinear Behaviour; STAR Model.;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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