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Macro and microeconomic persistence in regional unemployment. The case of Argentina

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  • Panigo, Demian
  • Féliz, Mariano
  • Perez, Pablo

Abstract

The aim of this paper is to develop a simple methodology for the study of regional unemployment persistence in Argentina. We use two complementary perspectives, combining a macroeconomic (aggregate) hysteresis approach with a microeconomic dynamic (individual-two-stage) evaluation. Macroeconomic results indicate that most shocks affecting the unemployment rate in different regions and population sub-groups are predominantly persistent (because of both participation and employment hysteresis). The microeconomic analysis allows us to detect a strong state-dependence effect (for most regions and mainly amongst youth and females), wile duration-dependence is only significant for periods of high unemployment.

Suggested Citation

  • Panigo, Demian & Féliz, Mariano & Perez, Pablo, 2004. "Macro and microeconomic persistence in regional unemployment. The case of Argentina," CEPREMAP Working Papers (Couverture Orange) 0403, CEPREMAP.
    • Handle: RePEc:cpm:cepmap:0403
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    File URL: http://www.cepremap.fr/depot/couv_orange/co0403.pdf
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    References listed on IDEAS

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    Cited by:

    1. Firouz Fallahi & Gabriel Rodríguez, 2011. "Persistence of Unemployment in the Canadian Provinces," International Regional Science Review, , vol. 34(4), pages 438-458, October.

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    More about this item

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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