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A new estimate of discouraged and additional worker effects on labor participation by sex and age in oecd countries

Author

Listed:
  • Filatriau Olivier
  • Frédéric Reynès

    (IVM Faculty of Earth and Life Sciences, VU University Amsterdam)

Abstract

This article proposes a new approach to estimate the effect of the unemployment rate on the labor participation ratio by sex and age. OECD labor participation ratios are estimated within an unobservable component model with the Kalman filter. This allows for treating the trend of the participation rate as a stochastic time varying parameter. This improves the quality of the econometric results by allowing for a better identification of changes in the trend than the most common alternatives using determinist and logistic trends. Moreover the use of cross-section OECD circumvents the problem of the lack of long time series data. We find that OECD labor participation ratio are sensitive to the labor market situation in all sex and age categories and that the discouraged worker effect dominates the additional worker effect although the latter is clearly present for women.

Suggested Citation

  • Filatriau Olivier & Frédéric Reynès, 2012. "A new estimate of discouraged and additional worker effects on labor participation by sex and age in oecd countries," Documents de Travail de l'OFCE 2012-09, Observatoire Francais des Conjonctures Economiques (OFCE).
    • Handle: RePEc:fce:doctra:1209
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    File URL: http://www.ofce.sciences-po.fr/pdf/dtravail/WP2012-09.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    labor force participation; unemployment; flexion effects; additional/discouraged worker effect; OECD; cross-section estimation; Kalman filter;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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