IDEAS home Printed from https://ideas.repec.org/p/ssa/lemwps/2021-22.html
   My bibliography  Save this paper

Factoring in the micro: a transaction-level dynamic factor approach to the decomposition of export volatility

Author

Listed:
  • Matteo Barigozzi
  • Angelo Cuzzola
  • Marco Grazzi
  • Daniele Moschella

Abstract

This paper analyzes the sources of export volatility estimating a dynamic factor model on transaction-level data. Using an exhaustive dataset covering all French export transactions over the period 1993-2017, we reconstruct the latent factor space associated to global and destination-specific macroeconomic cycles by means of a modified expectation maximization algorithm to accommodate both the sparsity and the high dimensionality of the micro time series. Thus while paving the way for a novel application of dynamic factor models to microeconomic analysis, we provide a decomposition of the volatility of aggregate export and firms growth rates, highlighting structural spatial patterns and drawing attention to the role of geographical diversification for the mitigation of risks related to firms' export activities.

Suggested Citation

  • Matteo Barigozzi & Angelo Cuzzola & Marco Grazzi & Daniele Moschella, 2021. "Factoring in the micro: a transaction-level dynamic factor approach to the decomposition of export volatility," LEM Papers Series 2021/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2021/22
    as

    Download full text from publisher

    File URL: http://www.lem.sssup.it/WPLem/files/2021-22.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Julian di Giovanni & Andrei A. Levchenko & Isabelle Mejean, 2018. "The Micro Origins of International Business-Cycle Comovement," American Economic Review, American Economic Association, vol. 108(1), pages 82-108, January.
    2. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation of Non-Stationary Large Approximate Dynamic Factor Models," Papers 1910.09841, arXiv.org.
    3. Francesco Caselli & Miklós Koren & Milan Lisicky & Silvana Tenreyro, 2020. "Diversification Through Trade," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 449-502.
    4. Vasco M. Carvalho & Basile Grassi, 2019. "Large Firm Dynamics and the Business Cycle," American Economic Review, American Economic Association, vol. 109(4), pages 1375-1425, April.
    5. Jonathan Eaton & Samuel Kortum & Francis Kramarz, 2004. "Dissecting Trade: Firms, Industries, and Export Destinations," American Economic Review, American Economic Association, vol. 94(2), pages 150-154, May.
    6. 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.
    7. Miklós Koren & Silvana Tenreyro, 2007. "Volatility and Development," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 243-287.
    8. Kramarz, Francis & Martin, Julien & Mejean, Isabelle, 2020. "Volatility in the small and in the large: The lack of diversification in international trade," Journal of International Economics, Elsevier, vol. 122(C).
    9. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
    10. Vasco Carvalho & Xavier Gabaix, 2013. "The Great Diversification and Its Undoing," American Economic Review, American Economic Association, vol. 103(5), pages 1697-1727, August.
    11. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    12. Julian di Giovanni & Andrei A. Levchenko & Isabelle Mejean, 2014. "Firms, Destinations, and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 82(4), pages 1303-1340, July.
    13. Mary Amiti & David E. Weinstein, 2018. "How Much Do Idiosyncratic Bank Shocks Affect Investment? Evidence from Matched Bank-Firm Loan Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 525-587.
    14. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    15. Julian di Giovanni & Andrei A. Levchenko, 2009. "Trade Openness and Volatility," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 558-585, August.
    16. Andrew B. Bernard & Esther Ann Boler & Renzo Massari & Jose-Daniel Reyes & Daria Taglioni, 2017. "Exporter Dynamics and Partial-Year Effects," American Economic Review, American Economic Association, vol. 107(10), pages 3211-3228, October.
    17. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.
    18. 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.
    19. Ricardo Reis & Mark W. Watson, 2010. "Relative Goods' Prices, Pure Inflation, and the Phillips Correlation," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 128-157, July.
    20. Giulio Bottazzi & Le Li & Angelo Secchi, 2019. "Aggregate fluctuations and the distribution of firm growth rates," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 635-656.
    21. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    22. Nils Braakmann & Joachim Wagner, 2011. "Product diversification and stability of employment and sales: first evidence from German manufacturing firms," Applied Economics, Taylor & Francis Journals, vol. 43(27), pages 3977-3985.
    23. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Imbs, Jean & Pauwels, Laurent, 2019. "Fundamental Moments," CEPR Discussion Papers 13662, C.E.P.R. Discussion Papers.
    2. Esposito, Federico, 2022. "Demand risk and diversification through international trade," Journal of International Economics, Elsevier, vol. 135(C).
    3. Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2017. "Price Rigidities and the Granular Origins of Aggregate Fluctuations," CESifo Working Paper Series 6619, CESifo.
    4. Xavier Gabaix & Ralph S. J. Koijen, 2024. "Granular Instrumental Variables," Journal of Political Economy, University of Chicago Press, vol. 132(7), pages 2274-2303.
    5. Brownlees, Christian & Mesters, Geert, 2021. "Detecting granular time series in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 544-561.
    6. Ernesto Pasten & Raphael Schoenle & Michael Weber, 2017. "Price Rigidity and the Origins of Aggregate Fluctuations," NBER Working Papers 23750, National Bureau of Economic Research, Inc.
    7. Kramarz, Francis & Martin, Julien & Mejean, Isabelle, 2020. "Volatility in the small and in the large: The lack of diversification in international trade," Journal of International Economics, Elsevier, vol. 122(C).
    8. repec:zbw:bofrdp:2018_003 is not listed on IDEAS
    9. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2017. "Price rigidities and the granular origins of aggregate fluctuations," Working Paper Series 2102, European Central Bank.
    10. Stefano Costa & Federico Sallusti & Claudio Vicarelli, 2022. "Trade networks and shock transmission capacity: a new taxonomy of Italian industries," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(1), pages 133-153, March.
    11. Grigoli, Francesco & Luttini, Emiliano & Sandri, Damiano, 2023. "Idiosyncratic shocks and aggregate fluctuations in an emerging market," Journal of Development Economics, Elsevier, vol. 160(C).
    12. Glenn Magerman & Karolien De Bruyne & Emmanuel Dhyne & Jan Van Hove, 2016. "Heterogeneous firms and the micro origins of aggregate fluctuations," Working Paper Research 312, National Bank of Belgium.
    13. Joya, Omar & Rougier, Eric, 2019. "Do (all) sectoral shocks lead to aggregate volatility? Empirics from a production network perspective," European Economic Review, Elsevier, vol. 113(C), pages 77-107.
    14. Esposito, Federico, 2019. "Demand Risk and Diversification through Trade," MPRA Paper 99875, University Library of Munich, Germany.
    15. Lee, Dongyeol, 2021. "Propagation of economic shocks through vertical and trade linkages in Korea: An empirical analysis," Japan and the World Economy, Elsevier, vol. 60(C).
    16. Norbert Czinkán, 2017. "The Role of Individual Firms in Aggregate Fluctuations: Evidence from Hungary," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 16(2), pages 40-63.
    17. Lindenthal, Volker, 2018. "The Volatility and Cyclicality of Job Flows in German Exporters and Non-Exporters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181637, Verein für Socialpolitik / German Economic Association.
    18. Michael Olabisi, 2020. "Input–Output Linkages and Sectoral Volatility," Economica, London School of Economics and Political Science, vol. 87(347), pages 713-746, July.
    19. Stefano Costa & Federico Sallusti & Claudio Vicarelli, 2021. "Trade networks and shock transmission within the Italian production system," LEM Papers Series 2021/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Gaubert, Cecile & Itskhoki, Oleg & Vogler, Maximilian, 2021. "Government policies in a granular global economy," Journal of Monetary Economics, Elsevier, vol. 121(C), pages 95-112.
    21. Längle, Katharina & Xu, Ankai & Tian, Ruijie, 2021. "Assessing the supply chain effect of natural disasters: Evidence from Chinese manufacturers," WTO Staff Working Papers ERSD-2021-13, World Trade Organization (WTO), Economic Research and Statistics Division.

    More about this item

    Keywords

    Factor models; trade volatility; diversification.;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssa:lemwps:2021/22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/labssit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.