Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model

By Hung-Jen Wang. 2002

411 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/9fafccfe3695de5eaab0404f8a221114ddfa06d5

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Citations in the corpus

Precision agriculture technology adoption and technical efficiency (2021, result): “In contrast to other findings (Sabasi, Shumway, & Astill, 2019; Wang, 2002) the non- linear effect of farming experience suggests that operators early and late in their careers are the least inefficient.”
Efficiency Analysis: A Primer on Recent Advances (2014, methodology): “Alternatively, we may bootstrap the confidence interval (Simar & Wilson 2007, Simar & Wilson 2010) or use resampling based on the asymptotic distribution of the parameters (Wheat et al. 2014) to take into account estimation uncertainty. An alternative to construction of a prediction interval for a p”
Personal or Product Reputation? Optimizing Revenues in the Sharing Economy (2019, background): “The latter are observation-specific and are computed as follows (Wang, 2002):”
Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics (2006, methodology): “these variables and additional detail about the data are given in Wang (2002) .”
Can China’s Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector (2019, methodology): “…factor energy efficiency growth rate ( TFEEG ): Considering the corner-solution estimation problem in Battese and Coelli’s (1992, 1995) models (Wang, 2002; Wang and Schmidt, 2002) and the heterogeneity between different industrial sub-sectors, we adopt the fixed-effect SFA model (Greene,…”
Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach (2007, background): “Given that ξ > 0 (Wang, 2002), a positive (negative) sign of θlh would indicate that they are competitive (complementary).”
Likelihood ratio tests for model selection of stochastic frontier models (2010, methodology): “In this section we demonstrate the implementation of the AIC and TIC model selection criteria, and the standard LR, and Voung tests on the SF model specification using previously-analyzed data sets on Indian farming, which is the same data used by Battese and Coelli (1992, 1995), Wang (2002) , and ”
Stochastic Frontier Analysis using Stata (2013, methodology): “As in Wang (2002), both sfcross and sfpanel allow one to combine (9) and (10) for the normal-truncated normal model.”
Technical efficiency in competing panel data models: a study of Norwegian grain farming (2014, background): “The models of Huang and Liu (1994) and Battese and Coelli (1995), in which variances are assumed to be constant, are special cases of the Wang (2002) model.”