A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data

By Yang-Duk Kim, P. Schmidt. 2000

117 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/6502e13c5c952a5fd970ad8ef66b54a5adf1497b

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Citations in the corpus

Fixed and Random Effects in Stochastic Frontier Models (2005, background): “Kumbhakar and Lovell (2000) and Kim and Schmidt (2000) present convenient summaries of these.”
Economic Efficiency and Frontier Techniques (2004, methodology): “Kim and Schmidt (2000) do this. They apply a large number of Bayesian models to three previously-analyzed data sets, and compare the point estimates and confidence intervals for technical efficiency levels. Both classical procedures – including multiple comparisons with the best, based on the fixed ”
The Econometric Approach to Efficiency Analysis (2008, background): “This is, of course, similar to Kumbhakar et al.’s (1991) model, but with an additional constraint satisfied.”
Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA (2015, methodology): “…difficulties – (Osiewalski and Steel, 1998) Monte Carlo and Gibbs sampling (Koop et al., 1997) Comparison between classical and Bayesian approaches (Kim and Schmidt, 2000) Gibbs sampling methods for posterior inferences in SFA (Koop et al., 1995) Panel data (Fernandez et al., 1997) 14 (4.86)…”
On ranking and selection from independent truncated normal distributions (2005, background): “For example, see Fernandez et al. (2002), Tsionas (2002), Kim and Schmidt (2000), and Koop et al. (1997). production (given inputs) and higher efficiency.”
Reconsidering heterogeneity in panel data estimators of the stochastic frontier model (2005, background): “Bayesian estimation in the panel data context has focused on rebuilding the random and fixed effects model (see Kim and Schmidt, 2000).”
A Bayesian Approach to Imposing Curvature on Distance Functions (2005, background): “If both N and T are large, they can be regarded as absolute technical efficiency scores (Kim and Schmidt, 2000, p.96).”
A Bayesian analysis of multiple-output production frontiers (2000, background): “7However, see Kim and Schmidt (1999) for an empirical comparison between inference on e$ciency using some more sophisticated classical methods and Bayesian methods.”