Results 321 to 330 of about 61,950 (353)

Formulation and estimation of stochastic frontier production function models

Journal of Econometrics, 1977
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Aigner, Dennis, Lovell, C. A. Knox, Schmidt, Peter   +2 more
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Financial Participation and Productivity: Insights from Stochastic Frontier Estimation

Economic and Industrial Democracy, 2006
This article revisits the relationship between employees’ financial participation in the firm and productive efficiency. The most recent empirical work highlights a growing number of influences on the success (or otherwise) of financial participation - organizational and labour force characteristics as well as the operation of ‘bundles’ of ...
Andrew Robinson, Nick Wilson
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Public infrastructure and private productivity: A stochastic-frontier approach

Journal of Macroeconomics, 1999
We estimate an aggregate production frontier using time-series data for the private U.S. economy and show that estimated technical inefficiency is negatively correlated with the stock of public capital, or infrastructure. We then estimate a production frontier which includes a public-capital variable and report that this variable has no statistically ...
Charles D. Delorme, Herbert G. Thompson, Ronald S. Warren   +2 more
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Estimation of a non-neutral stochastic frontier production function

Journal of Productivity Analysis, 1994
This article proposed a hybrid of a stochastic frontier regression. The proposed model and estimation differ from the conventional model of Aigner, Lovell, and Schmidt. The model combines a stochastic frontier regression and a truncated regression to estimate the production frontier with non-neutral shifting of the average production function.
Clief J. Huang, Jin-Tan Liu
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Group-specific stochastic production frontier models with parametric specifications

European Journal of Operational Research, 2010
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Stochastic production frontiers with multiply imputed German establishment data [PDF]

Zeitschrift für ArbeitsmarktForschung – Journal for Labour Market Research, 2006
In this paper, stochastic production frontier models are estimated with IAB establishment data from waves 2002 and 2003 to analyze productivity and inefficiency. The data suffer from nonresponse in the most important variables (output, capital and labor) leading to the loss of 25 % of the observations and possibly imprecise estimates and invalid test ...
Jensen, U., Rässler, Susanne
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A Stochastic Production Frontier Analysis of Polish State Forests

Forest Science, 2001
Abstract This article presents a study of the efficiency of Polish state timber production and management polices following the transition to a more competitive market. The objective is to determine how well the Polish State Forests, which manage 80% of Poland's forestland and supply 85% of its timber, have adjusted, after 40 yr of ...
Jacek P. Siry, David H. Newman
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A Stochastic Frontier Model of a Scientist’s Production Potential [PDF]

Applied Econometrics, 2007
The comparative analysis of the stochastic frontier models is carried out. The model of the production potential of publications volume in dynamics and the one where a scientist’s experience has been taken into account are built. Estimates of the technical production efficiency of a scientist are obtained.
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A flexible stochastic production frontier model with panel data

Journal of Applied Econometrics
SummaryWe propose a flexible stochastic production frontier model with fixed effects for the panel data in which the semiparametric frontier is additive with bivariate interactions. To avoid potential misspecification and/or “wrong skew problem” due to distributional assumptions, we model the conditional mean of the inefficiency to depend on ...
Taining Wang, Feng Yao, Subal C. Kumbhakar   +2 more
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Stochastic Frontier Production Function Model Specification and Estimation Results

2016
This chapter compares the cost efficiency of the world’s 39 major airlines over the 1998–2012 period. We analyzed airlines’ cost efficiency using the stochastic frontier function methodology and investigated which factors account for differences in the level of efficiency.
Almas Heshmati, Jungsuk Kim
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