Accounting for persistence in panel count data models. An application to the number of patents awarded

DOI10.1016/J.ECONLET.2018.08.004zbMath1402.62336OpenAlexW2885719538MaRDI QIDQ1788032

Stefanos Dimitrakopoulos

Publication date: 8 October 2018

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: http://eprints.whiterose.ac.uk/141637/1/manuscript_1.pdf

zbMATH Keywords

dynamicsMarkov chain Monte Carloserial correlationinitial conditionspanel count datalatent heterogeneity

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Generalized linear models (logistic models) (62J12)

Cites Work

• Estimating the dimension of a model
• Posterior simulation and Bayes factors in panel count data models
• Individual effects and dynamics in count data models.
• Marginal Likelihood from the Gibbs Output
• Markov Regression Models for Time Series: A Quasi-Likelihood Approach
• The Calculation of Posterior Distributions by Data Augmentation
• Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms
• Marginal Likelihood From the Metropolis–Hastings Output
• Regression Analysis of Count Data
• Inference in Semiparametric Dynamic Models for Binary Longitudinal Data

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