2012
DOI: 10.2139/ssrn.2145803
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Stochastic Frontier Analysis Using Stata

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Cited by 76 publications
(71 citation statements)
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“…A 1 percent increase in consumer density will decrease total cost by approximately 0.3 percent at the sample median. This result suggests Belotti et al (2012).…”
Section: Resultsmentioning
confidence: 74%
“…A 1 percent increase in consumer density will decrease total cost by approximately 0.3 percent at the sample median. This result suggests Belotti et al (2012).…”
Section: Resultsmentioning
confidence: 74%
“…The log-likelihood function in Equation 6 can then be estimated using Stata (Belotti et al, 2013). Once the parameters are estimated, the technical efficiency (TE) of individual household is given as .…”
Section: Model Specificationmentioning
confidence: 99%
“…The translog function has a more flexible functional form than the Cobb-Douglas, imposing no restrictions on returns to scale and input substitution, but it is susceptible to multicollinearity. Likewise, because many more parameters are required than in an equivalent Cobb-Douglas model, larger data sets are required to avoid problems associated with degrees of freedom.Given the distributional assumption required for the identification of the efficiency term, the parameters of stochastic frontier production functions are usually estimated by ML methods (Belotti et al, 2012). In fact, they can also be estimated using corrected ordinary least squares (COLS).…”
mentioning
confidence: 99%