stochastic frontier models
Endogeneity in Stochastic Frontier Models
... of stochastic frontier models, and in Section 3 we give a brief review of 2SLS and LIML in the usual linear simultaneous equations ...consider stochastic frontier models with ...
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Robust Bayesian Inference in Stochastic Frontier Models
... Robust Bayesian Inference in Stochastic Frontier Models Mike G. Tsionas ∗ Abstract We use the concept of coarsened posteriors to provide robust Bayesian inference via coarsening in order to robustify ...
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Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models
... Conclusion In this paper, we have examined a Bayesian analysis of stochastic frontier models with composed error, and illustrated the considerable numerical requirements. We review the Bayesian ...
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Some New Semiparametric Panel Stochastic Frontier Models
... Standard stochastic frontier models are parametric; the researcher has to assume a particular functional form for technology and inefficiency ...the stochastic frontier modeling because ...
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On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors
... Amsler, C., Prokhorov, A., Schmidt, P., 2016b. Endogeneity environmental variables in stochastic frontier models. Working paper presented at the XI North American Productivity Workshop, June 15-18, ...
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Estimating fixed effect panel stochastic frontier models by model transformation
... panel stochastic frontier models do not distinguish between unobserved individual heterogeneity and ...fixed-effect stochastic frontier model which, in theory, may be biased by the ...
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Endogeneity in Panel Stochastic Frontier Models: An Application to the Japanese Cotton Spinning Industry
... in stochastic frontier ...in stochastic frontier models is either ignored or tried to be handled by pseudo econometric ...panel stochastic frontier model, and show that, ...
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Estimation of stochastic frontier models with fixed-effects through Monte Carlo Maximum Likelihood
... fixed-effects models is plagued by the incidental parameters ...of stochastic frontier models to examine and compare the sampling properties of the proposed estimator with those of the ...
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On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data
... October 2006 Abstract We study the construction of confidence intervals for efficiency levels of individual firms in stochastic frontier models with panel data. The focus is on bootstrapping and ...
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Stochastic frontier models
... The stochastic frontier model was first proposed by Aigner et ...a frontier of production, and actual outputs observed in the data fall below the frontier because of the presence of technical ...
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STOCHASTIC FRONTIER MODELS
... The standard definition of a production function is that it gives the maximum possible output for a given set of inputs, the production function therefore defines a boundary or a frontier. All the production units ...
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Stochastic Frontier Models With Correlated Error Components
... (Figure 2 about here.) Interestingly, while TE θ in this graph is initially larger for negative θ than it is for positive θ, this ordering is reversed once σ u becomes larger than approximately 3.6. However, such ...
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Endogenous Environmental Variables In Stochastic Frontier Models
... Christine Amsler, Artem Prokhorov and Peter Schmidt Abstract This paper considers a stochastic frontier model that contains environmental variables that affect the level of inefficiency but not the ...
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Stationary Points for Parametric Stochastic Frontier Models
... distribution to a Dirac delta. For example, the Chi-squared distribution would be an inappropriate choice, while the exponential family of distributions (e.g., the normal or exponential distribution) seems appropriate. ...
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Essays on Characterizing Inefficiency for Stochastic Frontier Models
... Over the past decade accounting for spatial correlation or interdependence among …rms, states and countries has become an important issue in empirical application, see Lesage and Pace (2009) and Anselin (1988;2001). ...
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Adjustment and unobserved heterogeneity in dynamic stochastic frontier models
... authors propose estimation by maximum likelihood. In such a setting, however, and especially in short panels, the incidental parameters problem is likely to bias the esti- mates when fixed-effects are assumed. ...
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Maximum Likelihood Estimator for Spatial Stochastic Frontier Models
... We applied both SARSF and SARARSF specifications of the spatial stochastic frontier model to a data set of European airports. Significant demand for airports benchmarking attracted academic researchers to ...
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Zero-inefficiency stochastic frontier models with varying mixing proportion:a semiparametric approach
... 8. Concluding Remarks In this paper, we propose semiparametric approach for estimating the zero-inefficiency stochastic frontier model (e.g., KPT (2013) and RS (2015)) by allowing for the proportion of ...
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Cost Efficiency in Regional Bus Companies: An Application of Alternative Stochastic Frontier Models
... panel models used in this study require in one way or another the estimation of firm-specific effects, four observations per firm appears to be a reasonable ...
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Is the choice of (t-T) in Battese and Coelli (1992) type stochastic frontier models innocuous? Observations and generalisations.
... b University of Leeds, UK, 36-40 University Road, University of Leeds, Leeds LS2 9JT, UK [email protected] Abstract In this paper we consider the sensitivity of functional form in the popular panel data ...
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