Count data stochastic frontier models, with an application to the patents-R&D relationship
Fé, Eduardo and Hofler, Richard (2013) Count data stochastic frontier models, with an application to the patents-R&D relationship. Journal of Productivity Analysis, 39 (3). pp. 271-284. ISSN 0895-562X (https://doi.org/10.1007/s11123-012-0286-y)
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This article introduces a new count data stochastic frontier model that researchers can use in order to study efficiency in production when the output variable is a count (so that its conditional distribution is discrete). We discuss parametric and nonparametric estimation of the model, and a Monte Carlo study is presented in order to evaluate the merits and applicability of the new model in small samples. Finally, we use the methods discussed in this article to estimate a production function for the number of patents awarded to a firm given expenditure on R&D.
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Item type: Article ID code: 53610 Dates: DateEvent20 June 2013PublishedSubjects: Social Sciences > Economic Theory Department: Strathclyde Business School > Economics Depositing user: Pure Administrator Date deposited: 07 Jul 2015 10:00 Last modified: 08 Apr 2024 22:25 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/53610