Estimating Cross-Industry Cross-Country Interaction Models Using Benchmark Industry Characteristics

36 Pages Posted: 27 Jun 2016

See all articles by Antonio Ciccone

Antonio Ciccone

Universitat Pompeu Fabra - Faculty of Economic and Business Sciences; Centre for Economic Policy Research (CEPR); Institute for the Study of Labor (IZA)

Elias Papaioannou

London Business School; Centre for Economic Policy Research (CEPR)

Date Written: June 2016

Abstract

Empirical cross-industry cross-country models are applied widely in economics, for example to investigate the determinants of economic growth or international trade. Estimation generally relies on US proxies for unobservable technological industry characteristics, for example industries' dependence on external finance or relationship-specific inputs. We examine the properties of the estimator and find that estimates can be biased towards zero (attenuated) or away from zero (amplified), depending on how technological similarity with the US covaries with other country characteristics. We also develop an alternative estimator that yields a lower bound on the true effect in cross-industry cross-country models of comparative advantage.

Suggested Citation

Ciccone, Antonio and Papaioannou, Elias, Estimating Cross-Industry Cross-Country Interaction Models Using Benchmark Industry Characteristics (June 2016). NBER Working Paper No. w22368. Available at SSRN: https://ssrn.com/abstract=2800877

Antonio Ciccone (Contact Author)

Universitat Pompeu Fabra - Faculty of Economic and Business Sciences ( email )

Ramon Trias Fargas 25-27
Barcelona, 08005
Spain
+34 93 542 1669 (Phone)
+34 93 542 1746 (Fax)

Centre for Economic Policy Research (CEPR)

London
United Kingdom

Institute for the Study of Labor (IZA)

P.O. Box 7240
Bonn, D-53072
Germany

Elias Papaioannou

London Business School ( email )

Sussex Place
Regent's Park
London, London NW1 4SA
United Kingdom

Centre for Economic Policy Research (CEPR) ( email )

London
United Kingdom

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