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Technology-Labor and Fiscal Spending Crowding-in Puzzles: The Role of Interpersonal Comparison

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  • Klein, Mathias
  • Krause, Christopher

Abstract

Standard real business cycle models predict a rise in employment following a technology shock. In contrast, numerous empirical studies show that a technology shock leads to a decline in labor input. In this paper, we demonstrate that a flexible price model enriched with interpersonal comparison of consumption expenditures is able to generate a fall in employment in response to a technology shock. The negative labor response is robust to different values assigned to the inverse Frisch elastictiy of labor supply and integrating capital adjustment cost into the model.

Suggested Citation

  • Klein, Mathias & Krause, Christopher, 2015. "Technology-Labor and Fiscal Spending Crowding-in Puzzles: The Role of Interpersonal Comparison," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113075, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc15:113075
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    References listed on IDEAS

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    1. Abel, Andrew B, 1990. "Asset Prices under Habit Formation and Catching Up with the Joneses," American Economic Review, American Economic Association, vol. 80(2), pages 38-42, May.
    2. Cristiano Cantore & Miguel León-Ledesma & Peter McAdam & Alpo Willman, 2014. "Shocking Stuff: Technology, Hours, And Factor Substitution," Journal of the European Economic Association, European Economic Association, vol. 12(1), pages 108-128, February.
    3. Francisco Alvarez‐Cuadrado & Mayssun El‐Attar Vilalta, 2018. "Income Inequality and Saving," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1029-1061, December.
    4. Alonso-Carrera, Jaime & Caballé, Jordi & Raurich, Xavier, 2008. "Can consumption spillovers be a source of equilibrium indeterminacy?," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2883-2902, September.
    5. Mathias Klein & Christopher Krause, 2020. "Income Redistribution, Consumer Credit, and Keeping Up with the Riches," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(8), pages 1937-1971, December.
    6. Samuel Bowles & Yongjin Park, 2005. "Emulation, Inequality, and Work Hours: Was Thorsten Veblen Right?," Economic Journal, Royal Economic Society, vol. 115(507), pages 397-412, November.
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    8. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    9. Dedola, Luca & Neri, Stefano, 2007. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 512-549, March.
    10. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
    11. Gert Peersman & Roland Straub, 2009. "Technology Shocks And Robust Sign Restrictions In A Euro Area Svar," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 727-750, August.
    12. Mr. Michael Kumhof & Mr. Romain Ranciere & Pablo Winant, 2013. "Inequality, Leverage and Crises: The Case of Endogenous Default," IMF Working Papers 2013/249, International Monetary Fund.
    13. Rebei, Nooman, 2014. "What (really) accounts for the fall in hours after a technology shock?," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 330-352.
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    15. Mandelman, Federico S. & Zanetti, Francesco, 2014. "Flexible prices, labor market frictions and the response of employment to technology shocks," Labour Economics, Elsevier, vol. 26(C), pages 94-102.
    16. Jürgen Maurer & André Meier, 2008. "Smooth it Like the ‘Joneses’? Estimating Peer‐Group Effects in Intertemporal Consumption Choice," Economic Journal, Royal Economic Society, vol. 118(527), pages 454-476, March.
    17. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
    18. Haroon Mumtaz & Francesco Zanetti, 2012. "Neutral Technology Shocks And The Dynamics Of Labor Input: Results From An Agnostic Identification," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(1), pages 235-254, February.
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    20. repec:zbw:rwirep:0509 is not listed on IDEAS
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    More about this item

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • 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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