Journal Article10.1080/07350015.1998.10524732
Analysis of Patent Data—A Mixed-Poisson-Regression-Model Approach
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TL;DR: In this paper, a finite mixed Poisson regression model with covariates in both Poisson rates and mixing probabilities is used to analyze the relationship between patents and research and development spending at the firm level.
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Abstract: Count-data models are used to analyze the relationship between patents and research and development spending at the firm level, accounting for overdispersion using a finite mixed Poisson regression model with covariates in both Poisson rates and mixing probabilities. Maximum likelihood estimation using the EM and quasi-Newton algorithms is discussed. Monte Carlo studies suggest that (a) penalized likelihood criteria are a reliable basis for model selection and can be used to determine whether continuous or finite support for the mixing distribution is more appropriate and (b) when the mixing distribution is incorrectly specified, parameter estimates remain unbiased but have inflated variances.
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Citations
•Posted Content
Determinants of Access to Physician Services in Italy: A Latent Class Seemingly Unrelated Probit Approach
TL;DR: In this paper, a model using finite mixtures of probit models that provides a rich and flexible functional form was developed to examine access to general practitioners, public and private specialists in Italy.
87
Determinants of access to physician services in Italy: a latent class seemingly unrelated probit approach.
TL;DR: In this paper, the authors examine access to general practitioners and specialists who work in the public and private sectors in Italy using a seemingly unrelated system of probits, using a latent class formulation that provides a rich and flexible functional form and can accommodate nonnormality of response probabilities.
86
•Book
Functional Form and Heterogeneity in Models for Count Data
William H. Greene
- 08 Aug 2007
TL;DR: In this paper, the authors present several extensions of the most familiar models for count data, the Poisson and negative binomial models, and develop an encompassing model for two well known variants of the NB1 and NB2 forms.
Convenient estimators for the panel probit model: Further results
TL;DR: In this paper, the authors proposed several variants of a GMM estimator based on the period specific regression functions for the panel probit model and examined some extensions which can exploit the heterogeneity contained in their panel data set.
80
Do KIBS make manufacturing more innovative? An empirical investigation of four European countries ☆
TL;DR: In this article, the authors estimate the innovation impact of the vertical integration of knowledge-intensive business services (KIBS) into manufacturing by merging OECD data on sectoral R&D and input-output tables with sectoral patent applications and patent quality indicators from the Pastat and OECD Patent Quality Indicators databases, respectively.
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