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On the dynamics of product and process innovations - A bivariate random effects probit model

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  • Flaig, Gebhard
  • Stadler, Manfred

Abstract

Based on a stochastic dynamic model of a firm’s optimal innovativebehavior we derive a simultaneous equation system for product andprocess innovations with intertemporal spillover effects. We estimatevarious versions of the model with dichotomous innovation data at thefirm level by using a bivariate dynamic random effects probit model. Thedata set, provided by the Ifo-Institute, covers the period between 1981and 1989 and includes 586 firms of the West German manufacturing sector.It turns out that the firms probabilities of product and processinnovations depend positively on dynamic spillover effects even if onecontrols for firm size, market concentration, demand expectations, laborcost, unobserved heterogeneity and potential endogeneity of theexplanatory variables.

Suggested Citation

  • Flaig, Gebhard & Stadler, Manfred, 1998. "On the dynamics of product and process innovations - A bivariate random effects probit model," Munich Reprints in Economics 20365, University of Munich, Department of Economics.
    • Handle: RePEc:lmu:muenar:20365
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    Cited by:

    1. Bettina Peters, 2009. "Persistence of innovation: stylised facts and panel data evidence," The Journal of Technology Transfer, Springer, vol. 34(2), pages 226-243, April.
    2. M. Constanza Demmel & Juan A. Máñez & María E. Rochina-Barrachina & Juan A. Sanchis-Llopis, 2017. "Product and process innovation and total factor productivity: Evidence for manufacturing in four Latin American countries," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 1341-1363, November.
    3. Tea Petrin & Dragana Radicic, 2023. "Instrument policy mix and firm size: is there complementarity between R&D subsidies and R&D tax credits?," The Journal of Technology Transfer, Springer, vol. 48(1), pages 181-215, February.
    4. Martin Kukuk & Manfred Stadler, 2001. "Financing Constraints and the Timing of Innovations in the German Services Sector," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 28(3), pages 277-292, September.
    5. Smolny, Werner, 1997. "Endogenous innovations in a model of the firm: Theory and empirical application for West-German manufacturing firms," Discussion Papers 39, University of Konstanz, Center for International Labor Economics (CILE).
    6. Agnes Bäker & Werner Güth & Kerstin Pull & Manfred Stadler, 2011. "Creativity, Analytical Skills, Personality Traits, and Innovation Game Behavior in the Lab: An Experiment," Jena Economics Research Papers 2011-056, Friedrich-Schiller-University Jena.
    7. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    8. Kukuk Martin & Stadler Manfred, 2005. "Market Structure and Innovation Races / Marktstruktur und Innovationsrennen: An Empirical Assessment Using Indirect Inference / Eine empirische Untersuchung mit Hilfe der indirekten Schätzmethode," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(4), pages 427-440, August.
    9. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung – Bestand, Verwendung und Zugang," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 1(1), pages 27-42, June.
    10. Stefan Kipar, 2012. "Determinants of Firm Innovation - Evidence from German Panel Data," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 45.
    11. Güth, Werner & Pull, Kerstin & Stadler, Manfred, 2012. "Creativity, analytical skills, personality traits, and innovative capability: A lab experiment," University of Tübingen Working Papers in Business and Economics 44, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    12. Juan Máñez & María Rochina-Barrachina & Amparo Sanchis-Llopis & Juan Sanchis-Llopis, 2015. "The determinants of R&D persistence in SMEs," Small Business Economics, Springer, vol. 44(3), pages 505-528, March.

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