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Firm Innovation Strategies: a Spatial Cohort Multinomial Probit Approach

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  • Corinne Autant-Bernard

    (CREUSET - Centre de Recherche Economique de l'Université de Saint-Etienne - UJM - Université Jean Monnet - Saint-Étienne)

  • James Lesage

    (McCoy College of Business Administration Finance and Economics Department - Texas State University)

  • Olivier Parent

    (UC - University of Cincinnati)

Abstract

This paper presents a multinomial extension of the binary probit model that allows for interfirm utility based on a spatially defined cohort of firms. Extending the class of Bayesian spatiallogiVprobit 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, 2008. "Firm Innovation Strategies: a Spatial Cohort Multinomial Probit Approach," Post-Print hal-00359262, HAL.
    • Handle: RePEc:hal:journl:hal-00359262
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    Cited by:

    1. 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.
    2. Tonnerre, Antoine, 2017. "A Spatial Analysis of Innovation in Europe," MPRA Paper 80116, University Library of Munich, Germany.
    3. 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.
    4. 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.

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