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Firm Heterogeneity and Regional Business Cycles Differentials

Author

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  • Roberto Basile

    ()

  • Sergio de Nardis
  • Carmine Pappalardo

Abstract

This study represents a first attempt to empirically analyze the role of firm heterogeneity in regional business cycle behaviour. Working with monthly Italy’s firms data and estimating a random effects ordered probit model, we first document sizable asymmetries in Northern and Southern firms business cycles positively related to the intensity of the national cycle: firms located in the South are more likely to reduce production levels than firms located in the North in periods of business cycle expansion and vice versa. Then, we explore the role of sectoral mix and several firm-specific factors (firm size, export propensity, liquidity constraints, demand conditions, capacity utilization and expectations) in explaining regional disparities in business cycle fluctuations. Results suggest that North-South differences in sectoral composition do not help explain the diverging behaviour of Southern firms, while by controlling for firm heterogeneity we are able to capture large part of regional business cycles differences. JEL codes: D21, E32, R10 Keywords: Regional business cycle, firm heterogeneity, random effects ordered probit

Suggested Citation

  • Roberto Basile & Sergio de Nardis & Carmine Pappalardo, 2012. "Firm Heterogeneity and Regional Business Cycles Differentials," ERSA conference papers ersa12p84, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa12p84
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    References listed on IDEAS

    as
    1. Carvalho, Vasco M. & Harvey, Andrew C., 2005. "Growth, cycles and convergence in US regional time series," International Journal of Forecasting, Elsevier, vol. 21(4), pages 667-686.
    2. Basile, Roberto, 2001. "Export behaviour of Italian manufacturing firms over the nineties: the role of innovation," Research Policy, Elsevier, vol. 30(8), pages 1185-1201, October.
    3. Mastromarco, Camilla & Woitek, Ulrich, 2007. "Regional business cycles in Italy," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 907-918, October.
    4. Koenig, Pamina & Mayneris, Florian & Poncet, Sandra, 2010. "Local export spillovers in France," European Economic Review, Elsevier, vol. 54(4), pages 622-641, May.
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    Cited by:

    1. Wenzel, Lars, 2013. "Forecasting regional growth in Germany: A panel approach using business survey data," HWWI Research Papers 133, Hamburg Institute of International Economics (HWWI).
    2. repec:spr:jbuscr:v:13:y:2017:i:1:d:10.1007_s41549-017-0012-y is not listed on IDEAS
    3. Jürgen Bierbaumer-Polly & Werner Hölzl, 2016. "Business Cycle Dynamics and Firm Heterogeneity. Evidence for Austria Using Survey Data," WIFO Working Papers 504, WIFO.

    More about this item

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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