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Power laws in firm size and openness to trade: Measurement and implications

Authors :
Andrei A. Levchenko
Romain Ranciere
Julian di Giovanni
'Research Department International Monetary Fund (IMF)' (IMF)
International Monetary Fund (IMF)
University of Michigan [Ann Arbor]
University of Michigan System
The National Bureau of Economic Research (NBER)
Paris-Jourdan Sciences Economiques (PSE)
École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)
Paris School of Economics (PSE)
École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Center for Economic Policy Research (CEPR)
CEPR
CEPREMAP
NBER
Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École des hautes études en sciences sociales (EHESS)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Paris (ENS Paris)
Source :
Journal of International Economics, Journal of International Economics, Elsevier, 2011, 85 (1), pp.42-52. ⟨10.1016/j.jinteco.2011.05.003⟩
Publication Year :
2011
Publisher :
HAL CCSD, 2011.

Abstract

Existing estimates of power laws in firm size typically ignore the impact of international trade. Using a simple theoretical framework, we show that international trade systematically affects the distribution of firm size: the power law exponent among exporting firms should be strictly lower in absolute value than the power law exponent among non-exporting firms. We use a dataset of French firms to demonstrate that this prediction is strongly supported by the data, both for the economy as a whole and at the industry level. Furthermore, the differences between power law coefficients for exporters and non-exporters are larger in sectors that are more open to trade. While estimates of power law exponents have been used to pin down parameters in theoretical and quantitative models, our analysis implies that the existing estimates are systematically lower than the true values. We propose two simple ways of estimating power law parameters that take explicit account of exporting behavior.

Details

Language :
English
ISSN :
00221996
Database :
OpenAIRE
Journal :
Journal of International Economics, Journal of International Economics, Elsevier, 2011, 85 (1), pp.42-52. ⟨10.1016/j.jinteco.2011.05.003⟩
Accession number :
edsair.doi.dedup.....24b11b1a8711ee4aa77c06e8e2741309
Full Text :
https://doi.org/10.1016/j.jinteco.2011.05.003⟩