Market distortions can generate resource misallocations across heterogeneous firms and reduce aggregate productivity. This paper measures market distortions and aggregate …
S Seifert, A Cullmann, C von Hirschhausen - Energy Economics, 2016 - Elsevier
In this paper, we analyze the technical efficiency and CO 2 reduction potentials of German power and heat plants, using a non-parametric sequential Data Envelopment Analysis. We …
Separation of vertical integrated electricity sector and removal of entry barriers for power generation investment were advocated by China's electricity market reform in 2002. While …
Our paper investigates productivity, output growth and total factor productivity (TFP) growth using a novel single-index smooth-coefficient stochastic frontier approach and two firm-level …
This paper examines TFP (total factor productivity) growth and economies of scale of Korean fossil-fuel power GENCOs (generation companies) between 2001 and 2012. For this …
H Dong, T Otsu, L Taylor - Journal of Econometrics, 2022 - Elsevier
We propose a semiparametric estimator for varying coefficient models when the regressors in the nonparametric components are measured with error. Varying coefficient models are …
F Yao, Q Lu, Y Sun, J Zhang - Essays in Honor of Subal Kumbhakar, 2024 - emerald.com
The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates …
K Sun - Journal of Productivity Analysis, 2015 - Springer
This paper proposes a constrained nonparametric method of estimating an input distance function. A regression function is estimated via kernel methods without functional form …