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Cross-Sectional Heterogeneity and the Persistence of Aggregate Fluctuations

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  • Michelacci, C.

Abstract

It is well known from time series analysis that shocks to aggregate output have very persistent effects. This paper argues that the relation between the expected growth rate of a firm and its size\ provides a microfoundation for such aggregate persistence. The empirical evidence indicates that small firms grow faster than big ones. If this is true, a shock that reallocates units across sizes will be absorbed, yet at very low decreasing rates. Once the shock hits the system, firms are reallocated across sizes. If small firms grows faster than big ones, the shock will then be absorbed. However, fast growing small firms eventually become big and grow as big firms. Thus the number of small firms shrinks over time as well as the rate at which the shock is absorbed. This transmission mechanism reconciles the micro evidence with the observed degree of aggregate persistence. It requires changes in neither the number of firms in the market nor the rate of technological progress. It is merely the result of the cross-sectional heterogeneity that we observe in real economies.

Suggested Citation

  • Michelacci, C., 1999. "Cross-Sectional Heterogeneity and the Persistence of Aggregate Fluctuations," Papers 9906, Centro de Estudios Monetarios Y Financieros-.
  • Handle: RePEc:fth:cemfdt:9906
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    Cited by:

    1. Luis Fernando Lanaspa Santolaria & Irene Olloqui Cuartero & Fernando Sanz Garcia, 2012. "Common Trends and Linkages in the US Manufacturing Sector, 1969–2000," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 36(5), pages 1093-1111, September.
    2. Winkelried, Diego & Castillo, Paul, 2010. "Dollarization persistence and individual heterogeneity," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1596-1618, December.
    3. Samaniego, Roberto M., 2006. "Organizational capital, technology adoption and the productivity slowdown," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1555-1569, October.
    4. Juan J. Dolado & Jesús Gonzalo & Laura Mayoral, 2005. "What is what?: A simple time-domain test of long-memory vs. structural breaks," Economics Working Papers 954, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Zaffaroni, Paolo, 2004. "Contemporaneous aggregation of linear dynamic models in large economies," Journal of Econometrics, Elsevier, vol. 120(1), pages 75-102, May.

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    More about this item

    Keywords

    ECONOMIC MODELS ; TIME SERIES ; STATISTICAL ANALYSIS;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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