Count data stochastic frontier models, with an application to the patents-R&D relationship

Tools

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)

Full text not available in this repository.Request a copy

Abstract

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.

ORCID iDs

Fé, Eduardo ORCID logoORCID: https://orcid.org/0000-0001-7693-9143 and Hofler, Richard;
CORE (COnnecting REpositories)