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Firm Innovation Strategies: a Spatial Cohort Multinomial Probit Approach

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  • Corinne Autant-Bernard
  • James Lesage
  • Olivier Parent

Abstract

This paper presents a multinomial extension of the binary probit model that allows for inter firm utility based on a spatially defined cohort of firms. Extending the class of Bayesian spatial logit/probit models, we investigate how firms decisions regarding innovation strategies are related to a spatially defined cohort of nearby firms' strategy choices. The results suggest that firms choice of innovation strategies are similar to those made by firms located nearby in space.

Suggested Citation

  • Corinne Autant-Bernard & James Lesage & Olivier Parent, 2007. "Firm Innovation Strategies: a Spatial Cohort Multinomial Probit Approach," Annals of Economics and Statistics, GENES, issue 87-88, pages 63-80.
  • Handle: RePEc:adr:anecst:y:2007:i:87-88:p:63-80
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    Cited by:

    1. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    2. Arnab Bhattacharjee & Ornella Maietta & Fernanda Mazzotta, 2023. "Spatial agglomeration, innovation and firm survival for Italian manufacturing firms," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(3), pages 318-345, July.
    3. Juana Sanchez, 2014. "Innovation Output Choices And Characteristics Of Firms In The U.S," Working Papers 14-42, Center for Economic Studies, U.S. Census Bureau.
    4. Tonnerre, Antoine, 2017. "A Spatial Analysis of Innovation in Europe," MPRA Paper 80116, University Library of Munich, Germany.

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