Research and development, competition and innovation. Pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity

DOI10.1016/S0304-4076(97)00027-4zbMath0900.62646OpenAlexW2074395574WikidataQ60720980 ScholiaQ60720980MaRDI QIDQ1362488

Emmanuel Duguet, Bruno Crepon

Publication date: 12 August 1997

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0304-4076(97)00027-4

zbMATH Keywords

count datasimulated maximum likelihoodresearch and developmentpatentexternalitypseudo-maximum likelihood

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

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Cites Work

• A new approach for modeling economic count data
• Market Structure and Innovation
• Pseudo Maximum Likelihood Methods: Theory
• Pseudo Maximum Likelihood Methods: Applications to Poisson Models
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing