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Aggregate fluctuations and the effect of large corporations: Evidence from Finnish monthly data

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  • Fornaro, Paolo
  • Luomaranta, Henri

Abstract

We investigate whether the granular hypothesis holds for the Finnish economy. In particular, we test if a sizable share of macroeconomic fluctuations is generated by firm-specific shocks to sales and productivity. We examine monthly firm-level data and find that the idiosyncratic shocks affecting large corporations explain around a third of business cycle fluctuations. This fact holds true both when we use the cross-sectional averages of sales and the estimated common factors, to control for common shocks. Moreover, we observe that the largest four corporations are the main drivers of this result. Finally, we detect a clear break in this relationship coinciding with the Great Recession. In particular, from 2010 onward the firm-level shocks lose their explanatory power. The findings of this paper point toward the importance of studying the granular hypothesis in a dynamic context, taking into account the possibility of breaks.

Suggested Citation

  • Fornaro, Paolo & Luomaranta, Henri, 2018. "Aggregate fluctuations and the effect of large corporations: Evidence from Finnish monthly data," Economic Modelling, Elsevier, vol. 70(C), pages 245-258.
  • Handle: RePEc:eee:ecmode:v:70:y:2018:i:c:p:245-258
    DOI: 10.1016/j.econmod.2017.11.012
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    1. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    2. Giuseppe Moscarini & Fabien Postel-Vinay, 2012. "The Contribution of Large and Small Employers to Job Creation in Times of High and Low Unemployment," American Economic Review, American Economic Association, vol. 102(6), pages 2509-2539, October.
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Tarkka, Juha, 1985. "Monetary policy in the BOF3 quarterly model of the Finnish economy," Economic Modelling, Elsevier, vol. 2(4), pages 298-306, October.
    5. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    6. Vasco Carvalho & Xavier Gabaix, 2013. "The Great Diversification and Its Undoing," American Economic Review, American Economic Association, vol. 103(5), pages 1697-1727, August.
    7. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    8. Frijters, Paul & Antić, Nemanja, 2016. "Can collapsing business networks explain economic downturns?," Economic Modelling, Elsevier, vol. 54(C), pages 289-308.
    9. Xavier Giroud & Holger M. Mueller, 2015. "Capital and Labor Reallocation within Firms," Journal of Finance, American Finance Association, vol. 70(4), pages 1767-1804, August.
    10. Stella, Andrea, 2015. "Firm dynamics and the origins of aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 71-88.
    11. Kuismanen, Mika & Kämppi, Ville, 2010. "The effects of fiscal policy on economic activity in Finland," Economic Modelling, Elsevier, vol. 27(5), pages 1315-1323, September.
    12. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    13. repec:zbw:bofrdp:2016_016 is not listed on IDEAS
    14. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    15. Boyan Jovanovic, 1987. "Micro Shocks and Aggregate Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 395-409.
    16. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    17. Timothy G. Conley & Bill Dupor, 2003. "A Spatial Analysis of Sectoral Complementarity," Journal of Political Economy, University of Chicago Press, vol. 111(2), pages 311-352, April.
    18. Mueller, Holger & Giroud, Xavier, 2015. "Capital and Labor Reallocation within Firms," CEPR Discussion Papers 10360, C.E.P.R. Discussion Papers.
    19. repec:hal:spmain:info:hdl:2441/59cr4u3mmr9pobrceptvua5g8c is not listed on IDEAS
    20. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    21. Lehmus, Markku, 2009. "Empirical macroeconomic model of the Finnish economy (EMMA)," Economic Modelling, Elsevier, vol. 26(5), pages 926-933, September.
    22. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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    Cited by:

    1. Murilo Silva & Sergio Da Silva, 2020. "The Brazilian granular business cycle," Economics Bulletin, AccessEcon, vol. 40(1), pages 463-472.
    2. Yu, Zhuangxiong & Cheng, Jiajia & Mukhopadhaya, Pundarik & Dong, Jiemiao, 2023. "Do information spillovers across products aggravate product market monopoly? An examination with Chinese data," Economic Modelling, Elsevier, vol. 125(C).
    3. Fornaro, Paolo, 2017. "Know the Present to Understand the Future: Nowcasting and Forecasting the Finnish Economy," ETLA Brief 59, The Research Institute of the Finnish Economy.
    4. Henri Luomarant & Fernando Cantu & Steve MacFeely & Anu Peltola, . "The role of multinational and trading enterprises in employment and the gender pay gap: evidence from Finland," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    5. Jozef Konings & Galiya Sagyndykova & Venkat Subramanian & Astrid Volckaert, 2023. "The granular nature of emerging market economies: The case of Kazakhstan," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(2), pages 429-464, April.
    6. Jozef Konings & Galiya Sagyndykova & Venkat Subramanian & Astrid Volckaert, 2021. "The granular economy of Kazakhstan," Working Papers 2021/01, Nazarbayev University, Graduate School of Business.
    7. Adriano Maia & Guilherme De Oliveira & Raul Matsushita & Sergio Da Silva, 2023. "Granular banks and corporate investment," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 586-599, September.
    8. Mantas Lukauskas & Vaida Pilinkienė & Jurgita Bruneckienė & Alina Stundžienė & Andrius Grybauskas & Tomas Ruzgas, 2022. "Economic Activity Forecasting Based on the Sentiment Analysis of News," Mathematics, MDPI, vol. 10(19), pages 1-22, September.
    9. Svetlana Popova, 2019. "Idiosyncratic shocks: estimation and the impact on aggregate fluctuations," Bank of Russia Working Paper Series wps46, Bank of Russia.
    10. Fornaro, Paolo & Kaihovaara, Antti, 2020. "Microdynamics, granularity and populism: The Finnish case," European Journal of Political Economy, Elsevier, vol. 65(C).

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    More about this item

    Keywords

    Business cycles; Granular residual; Business groups;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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