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Information Technology and Establishment Size in America: Rybczynski Redivivus☆

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  • Martin Campbell-Kelly
  • Daniel D. Garcia-Swartz
  • Dhiren Patki

Abstract

The Rybczynski Theorem is one of the staples of international trade theory. In their article in this issue of the journal, J.J. Rosa and J. Hanoteau apply the theorem to a two-by-two world in which the two “industries” are small firms and large firms, and the two inputs are information and all other. The assumption that small firms are more information intensive, coupled with the fact that information has become pervasive in recent decades, allows them to derive the prediction that small firms will account for increasingly larger proportions of total output and employment in the economy. We highlight a couple of issues that we find problematic in the Rosa--Hanoteau study, and then develop two different empirical strategies to probe the connections between IT and the size distribution of establishments. First, we combine County Business Patterns with input--output data to explore whether the share of small plants has grown at a faster pace among industries that demand IT more heavily. Second, we explore, on an industry-by-industry basis and taking into account the potential endogeneity of IT location, whether clustering of IT firms in specific US counties is associated with a relatively large share of small establishments, on average, in those counties.

Suggested Citation

  • Martin Campbell-Kelly & Daniel D. Garcia-Swartz & Dhiren Patki, 2012. "Information Technology and Establishment Size in America: Rybczynski Redivivus☆," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 19(2), pages 337-357, July.
  • Handle: RePEc:taf:ijecbs:v:19:y:2012:i:2:p:337-357
    DOI: 10.1080/13571516.2012.684930
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    References listed on IDEAS

    as
    1. Jean-Jacques Rosa & Julien Hanoteau, 2012. "The Shrinking Hand: Why Information Technology Leads to Smaller Firms," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 19(2), pages 285-314, July.
    2. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
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    4. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    5. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    6. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    7. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Heij, Christiaan & de Boer, Paul & Franses, Philip Hans & Kloek, Teun & van Dijk, Herman K., 2004. "Econometric Methods with Applications in Business and Economics," OUP Catalogue, Oxford University Press, number 9780199268016.
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