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Micro vs macro explanations of post-war US unemployment movements

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  • Heaton, Chris
  • Oslington, Paul

Abstract

This paper considers contributions of industry-sectoral-micro shocks vs aggregate macro shocks. A dynamic factor model is estimated with maximum likelihood method in the frequency domain, and decomposes US unemployment movements into industry sectoral and common components. Sectoral shocks account for around half unemployment movements.

Suggested Citation

  • Heaton, Chris & Oslington, Paul, 2010. "Micro vs macro explanations of post-war US unemployment movements," Economics Letters, Elsevier, vol. 106(2), pages 87-91, February.
    • Handle: RePEc:eee:ecolet:v:106:y:2010:i:2:p:87-91
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    Cited by:

    1. Heaton, Chris & Solo, Victor, 2012. "Estimation of high-dimensional linear factor models with grouped variables," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 348-367.

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    Keywords

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    JEL classification:

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