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Technology Shocks, Labour Mobility and Aggregate Fluctuations

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  • Daniela Hauser

Abstract

We provide evidence regarding the dynamic behaviour of net labour flows across U.S. states in response to a positive technology shock. Technology shocks are identified as disturbances that increase relative state productivity in the long run for 226 state pairs, encompassing 80 per cent of labour flows across U.S. states in the 1976 - 2008 period. The data suggest heterogeneous responses of both employment and net labour flows across states, conditional on a positive technology shock. We build a two-region dynamic stochastic general equilibrium (DSGE) model with endogenous labour mobility and region-specific shocks to account for this evidence. We calibrate the model economy consistently with the observed differences in the degree of nominal rigidities across states, and show that we replicate the different patterns of the responses in employment and net labour flows across states following a technology shock.

Suggested Citation

  • Daniela Hauser, 2014. "Technology Shocks, Labour Mobility and Aggregate Fluctuations," Staff Working Papers 14-4, Bank of Canada.
    • Handle: RePEc:bca:bocawp:14-4
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    Cited by:

    1. Guilherme Bandeira & Jordi Caballe & Eugenia Vella, 2019. "Fiscal Austerity and Migration: A Missing Link," Working Papers 2019009, The University of Sheffield, Department of Economics.
    2. Anelí Bongers & Carmen Díaz-Roldán & José L. Torres, 2022. "Brain drain or brain gain? International labor mobility and human capital formation," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 31(5), pages 647-671, July.
    3. Khan, Hashmat & Metaxoglou, Konstantinos & Knittel, Christopher R. & Papineau, Maya, 2019. "Carbon emissions and business cycles," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 1-19.
    4. Bongers Anelí & Torres José L. & Díaz-Roldán Carmen, 2022. "Highly Skilled International Migration, STEM Workers, and Innovation," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 16(1), pages 73-89, January.
    5. Clemens, Marius, 2016. "Migration, Unemployment and the Business Cycle - A Euro Area Perspective," VfS Annual Conference 2016 (Augsburg): Demographic Change 145578, Verein für Socialpolitik / German Economic Association.
    6. Hauser, Daniela & Seneca, Martin, 2022. "Labor mobility in a monetary union," Journal of International Economics, Elsevier, vol. 137(C).
    7. Nchor, Dennis, 2020. "Labour mobility as an adjustment mechanism to asymmetric shocks in Europe : Evidence from the Czech Republic, Hungary, Poland and Slovakia," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54, pages 1-16.
    8. Ohad Raveh, 2016. "Monetary Policy, Fisal Federalism, and Capital Intensity," OxCarre Working Papers 181, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    9. Hart, Janine & Clemens, Marius, 2019. "A search and matching approach to business-cycle migration in the euro area," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203659, Verein für Socialpolitik / German Economic Association.

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    More about this item

    Keywords

    Business fluctuations and cycles; Labour markets;

    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
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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