Effects of Information Sources on Innovation Decisions: Bayesian Analysis of the Sequential Probit Model.

We study the role of information sources on innovation decision in a two stage sequential probit model. In the first stage, firms decide to innovate or not, while in the second stage they choose the mode of innovation. We estimate parameters of this model in a Bayesian framework in which we use the latent variable structure of the model to implement an operational Gibbs sampler.

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Year of publication:	2000
Authors:	Waelbroeck, P.
Subject:	INNOVATIONS \| INFORMATION \| SIMULATION

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Type of publication:	Book / Working Paper
Notes:	31 pages
Classification:	C53 - Forecasting and Other Model Applications ; O31 - Innovation and Invention: Processes and Incentives ; O34 - Intellectual Property Rights: National and International Issues
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005641118