Econometric analysis of the sequential probit model with an application to innovation surveys

Patrick Waelbroeck

No 99, Computing in Economics and Finance 2001 from Society for Computational Economics

Abstract: We study the role of information sources on innovation in a two stage sequential probit model that can be used to analyze survey data in which questions are asked sequentially. Firms can fall into three catagories: (i) they do not innovation; (ii) they introduce a radical innovation on their market; (iii) they imitate an existing innovation. We estimate parameters of this model in a classical framework in which multiple intergrals that arise in the likelihood function are estimated by simulation and in a Bayesian framework in which we use the latent variable structure of the model to implement an operational Gibbs sampler. We show that information sources globally influence the way by which a firm innovates, and we associate a specific information network to each mode of innovation.

Keywords: Sequential probit; simulation methods (search for similar items in EconPapers)
JEL-codes: C11 C15 C25 (search for similar items in EconPapers)
Date: 2001-04-01
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Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf1:99

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