Results 271 to 280 of about 60,822 (305)

A Stochastic Frontier Production Function with Flexible Risk Properties

Journal of Productivity Analysis, 1997
This paper considers a stochastic frontier production function which has additive, heteroscedastic error structure. The model allows for negative or positive marginal production risks of inputs, as originally proposed by Just and Pope (1978). The technical efficiencies of individual firms in the sample are a function of the levels of the input ...
Battese, GE, Rambaldi, AN, Wan, GH
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Maximum likelihood estimation of stochastic frontier production models

Journal of Econometrics, 1982
Abstract In his 1977 paper on the Tobit model, Fair devised a procedure for maximum likelihood estimation which greatly simplified the process. The procedure, in fact, can be generalized to encompass a wide variety of limited dependent variable models, as is demonstrated in Greene (1981). In this note, we show how Fair's method can be extended to the
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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 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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