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

Springer Science and Business Media LLC - Tập 39 - Trang 271-284 - 2012
Eduardo Fé1, Richard Hofler2
1Health Economics, University of Manchester, Manchester, UK
2Department of Economics, University of Central Florida, Orlando, USA

Tóm tắt

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.

Tài liệu tham khảo

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