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Individual and Aggregate Labor Supply in Heterogeneous Agent Economies with Intensive and Extensive Margins

Author

Listed:
  • Yongsung Chang
  • Sun-Bin Kim
  • Kyooho Kwon
  • Richard Rogerson

Abstract

We study business cycle fluctuations in heterogeneous-agent general equilibrium models that feature both intensive and extensive margins of labor supply. A nonconvexity in the mapping between time devoted to work and labor services combined with idiosyncratic shocks generates operative extensive and intensive margins. We consider calibrated versions of this model that differ in the value of a key preference parameter for labor supply and the extent of heterogeneity. The model is able to capture the salient features of the empirical distribution of hours worked, including how individuals transit within this distribution. We then study how the various specifications influence labor supply responses to aggregate technology shocks. We ask to what extent our predictions for business cycle fluctuations are affected by abstracting from the intensive margin and instead assuming that adjustment occurs only along the extensive margin. We find that abstracting from intensive margin adjustment can have large effects on the volatility of aggregate hours even if fluctuations along the intensive margin are small.

Suggested Citation

  • Yongsung Chang & Sun-Bin Kim & Kyooho Kwon & Richard Rogerson, 2018. "Individual and Aggregate Labor Supply in Heterogeneous Agent Economies with Intensive and Extensive Margins," NBER Working Papers 24985, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24985
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    Cited by:

    1. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Intertemporal Substitution in Labor Supply: A Meta-Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1095-1113, December.
    2. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," NBER Working Papers 28853, National Bureau of Economic Research, Inc.
    3. Maliar, Lilia & Maliar, Serguei, 2022. "Deep learning classification: Modeling discrete labor choice," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    4. Finkelstein Shapiro, Alan & Mandelman, Federico S., 2021. "Digital adoption, automation, and labor markets in developing countries," Journal of Development Economics, Elsevier, vol. 151(C).
    5. Shuhei Takahashi, 2020. "Time-Varying Wage Risk, Incomplete Markets, and Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 195-213, July.
    6. Federico S. Mandelman & Alan Finkelstein Shapiro, 2019. "Digital Adoption, Automation, and Labor Markets in Developing and Emerging Economies," FRB Atlanta Working Paper 2019-22, Federal Reserve Bank of Atlanta.
    7. Maren Froemel & Charles Gottlieb, 2021. "The Earned Income Tax Credit: Targeting the poor but crowding out wealth," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 193-227, February.

    More about this item

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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