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R&D policy, productivity growth and distance to frontier

Minniti, Antonio; Venturini, Francesco - In: Economics letters 156 (2017), pp. 92-94

Persistent link: https://www.econbiz.de/10011822375

Quantile estimation of stochastic frontier models with the normal-half normal specification : A cumulative distribution function approach

Zhao, Shirong - In: Economics letters 206 (2021), pp. 1-4

Persistent link: https://www.econbiz.de/10012886993

Bi-directional R&D spillovers and operating performance : a two-tier stochastic frontier model

Hu, Zhiqiang; Pei, Kaibing - In: Economics letters 195 (2020), pp. 1-4

Persistent link: https://www.econbiz.de/10012510067

Calculating efficiency for spatial autoregressive stochastic frontier model

Kutlu, Levent - In: Economics letters 225 (2023), pp. 1-3

Persistent link: https://www.econbiz.de/10014308483

The "wrong skewness" problem : moment constrained maximum likelihood estimation of the stochastic frontier model

Zhao, Shirong; Parmeter, Christopher F. - In: Economics letters 221 (2022), pp. 1-5

Persistent link: https://www.econbiz.de/10014229929

Inefficiency in the German mechanical engineering sector

Schiersch, Alexander - 2009

This paper aims to examine the relative efficiency of German engineering firms using a sample of roughly 23,000 observations between 1995 and 2004. As these firms had been successful in the examination period in terms of output- and export-growth, it is expected that a majority of firms is...

Persistent link: https://www.econbiz.de/10003902633