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Estimating cross-industry cross-country models using benchmark industry characteristics

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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.

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  • Antonio Ciccone & Elias Papaioannou, 2010. "Estimating cross-industry cross-country models using benchmark industry characteristics," Economics Working Papers 1235, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 2016.
  • Handle: RePEc:upf:upfgen:1235
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    10. Fatma Bouattour, 2020. "Measuring financial constraints of Brazilian industries: Rajan and Zingales index revisited," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 29(6), pages 677-710, August.
    11. Igan, Deniz & Kutan, Ali M. & Mirzaei, Ali, 2020. "The real effects of capital inflows in emerging markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
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    14. Bassanini, Andrea & Garnero, Andrea, 2013. "Dismissal protection and worker flows in OECD countries: Evidence from cross-country/cross-industry data," Labour Economics, Elsevier, vol. 21(C), pages 25-41.
    15. Seitz, Michael & Watzinger, Martin, 2017. "Contract enforcement and R&D investment," Research Policy, Elsevier, vol. 46(1), pages 182-195.
    16. Florian Leon, 2019. "The provision of long-term credit and firm growth," DEM Discussion Paper Series 19-08, Department of Economics at the University of Luxembourg.
    17. Haltiwanger, John & Scarpetta, Stefano & Schweiger, Helena, 2014. "Cross country differences in job reallocation: The role of industry, firm size and regulations," Labour Economics, Elsevier, vol. 26(C), pages 11-25.
    18. Michiel Bijlsma & Ferry Haaijen & Casper van Ewijk, 2014. "Economic growth and funded pension systems," CPB Discussion Paper 279.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    19. Alessandro Olper & Daniele Curzi & Valentina Raimondi, 2017. "Imported Intermediate Inputs and Firms’ Productivity Growth: Evidence from the Food Industry," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 280-300, February.
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    21. Kukharskyy, Bohdan, 2020. "A tale of two property rights: Knowledge, physical assets, and multinational firm boundaries," Journal of International Economics, Elsevier, vol. 122(C).
    22. Nunn, Nathan & Trefler, Daniel, 2014. "Domestic Institutions as a Source of Comparative Advantage," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 263-315, Elsevier.
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    More about this item

    Keywords

    International specialization and trade; industry growth; measurement error; financial development; institutions; regulation; factor endowments;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • F10 - International Economics - - Trade - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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