Results 311 to 320 of about 61,950 (353)

Money and production: A stochastic frontier approach

Journal of Productivity Analysis, 1995
Considerable controversy surrounds the role of money in the production of goods and services. Previous empirical research has appeared to find that the real money stock affects aggregate output, holding other, more conventional inputs constant. However, the theoretical literature offers no convincing explanation for this empirical finding.
Charles D. Delorme, Herbert G. Thompson, Ronald S. Warren   +2 more
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Estimating Production Uncertainty in Stochastic Frontier Production Function Models

Journal of Productivity Analysis, 1999
One of the main purposes of the frontier literature is to estimate inefficiency. Given this objective, it is unfortunate that the issue of estimating “firm-specific” inefficiency in cross sectional context has not received much attention. To estimate firm-specific (technical) inefficiency, the standard procedure is to use the mean of the inefficiency ...
Anil K. Bera, Subhash C. Sharma
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Generalized stochastic frontier production models

Economics Letters, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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TECHNICAL EFFICIENCY OF CHINESE GRAIN PRODUCTION: A STOCHASTIC PRODUCTION FRONTIER APPROACH

2003
This article examines technical efficiency of the Chinese grain sector using the framework of stochastic production frontier. The results reveal that: the marginal products of labor and fertilizer are much smaller than that of land; human capital and farm-level specialization have positive effect on efficiency, land fragmentation is detrimental to ...
Chen, Adam Zhuo, Huffman, Wallace E., Rozelle, Scott, Chen, Adam Zhuo, Huffman, Wallace E., Rozelle, Scott   +5 more
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Stochastic production frontiers and panel data: A latent variable framework

European Journal of Operational Research, 1995
Cet article propose d'utiliser l'analyse structurelle des covariances en vue d'estimer une frontière stochastique de production à partir de données de panel. D'une part, cette méthode permet d'analyser la structure des covariances entre les effets individuels et les variables exogènes sans avoir à recourir à l'utilisation de variables instrumentales. D'
Ivaldi, Marc, Monier Dilhan, Sylvette, Simioni, Michel   +2 more
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Decomposing agricultural productivity growth using a random-parameters stochastic production frontier

Empirical Economics, 2018
This study makes two key contributions to the agricultural productivity literature. First, it demonstrates, using US agricultural state-level data, how a random-parameters stochastic frontier model can be used to account for environmental heterogeneity across decision-making units.
Njuki, Eric, Bravo-Ureta, Boris E., O’Donnell, Christopher J.   +2 more
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Specification Testing of Production Frontier Function in Stochastic Frontier Model [PDF]

, 2014
Parametric production frontier function has been commonly employed in stochas-tic frontier model but there was no proper test statistic for its plausibility. To fill into this gap, this paper develops two test statistics to test for a hypothesized parametric production frontier function based on local smoothing and global smoothing, respectively.
Guo, Xu, Li, Gao Rong, Wong, Wing Keung
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Stochastic Production Frontier and Technical Inefficiency: A Sensitivity Analysis

Econometric Reviews, 2003
Abstract The present paper focuses attention on the sensitivity of technical inefficiency to most commonly used one‐sided distributions of the inefficiency error term, namely the truncated normal, the half‐normal, and the exponential distributions.
Rafik Baccouche, Mokhtar Kouki
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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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