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Are Labor Force Participation Rates Really Non-Stationary? Evidence from Three OECD Countries

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  • Ozdemir, Zeynel / A.
  • Balcilar, Mehmet
  • Tansel, Aysit

Abstract

This paper shows that the structural breaks are an important characteristic of the monthly labor force participation rate (LFPR) series of Australia, Canada and the USA. Therefore we allow for endogenously determined multiple structural breaks in the empirical specifications of fractionally integrated ARMA model. The findings indicate that contrary to the previous research the LFPRs of Australia, Canada and the USA are stationary implying that the informational value of the unemployment rates about the behavior of labor markets and the causes of joblessness are useful.

Suggested Citation

  • Ozdemir, Zeynel / A. & Balcilar, Mehmet & Tansel, Aysit, 2012. "Are Labor Force Participation Rates Really Non-Stationary? Evidence from Three OECD Countries," MPRA Paper 40572, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:40572
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    1. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2013. "International Labour Force Participation Rates By Gender: Unit Root Or Structural Breaks?," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 142-164, May.
    2. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2013. "International Labour Force Participation Rates By Gender: Unit Root Or Structural Breaks?," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 142-164, May.

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    More about this item

    Keywords

    Labor Force Participation Rates; Structural Change; Stationarity;
    All these keywords.

    JEL classification:

    • 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
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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