search for: battese

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2008 Nov 08
0
New package "frontier" for Stochastic Frontier Analysis (SFA)
...Hence, the R package "frontier" should have the same capabilities as "Frontier 4.1", i.e. Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components specification with time-varying efficiencies (Battese and Coelli, 1992) [5] and a model specification in which the firm effects are directly influenced by a number of variables (Battese and Coelli, 1995) [6]. The functions "front41WriteInput" and "front41ReadOutput" for creating input files for and reading output files of &...
2008 Nov 08
0
New package "frontier" for Stochastic Frontier Analysis (SFA)
...Hence, the R package "frontier" should have the same capabilities as "Frontier 4.1", i.e. Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components specification with time-varying efficiencies (Battese and Coelli, 1992) [5] and a model specification in which the firm effects are directly influenced by a number of variables (Battese and Coelli, 1995) [6]. The functions "front41WriteInput" and "front41ReadOutput" for creating input files for and reading output files of &...
2008 Jun 16
1
Error in maximum likelihood estimation.
...r loglik <- (-0.5 * nrow(x) *(log(2*pi) + log(sigma2)) -0.5 * sum(( y - x %*% beta + z %*% delta)^2/sigma2) -sum(log(pnorm(d))) + sum(log(pnorm(dstar)))) return(-loglik) } ----------------------------------------------- Loglikelihood function is from page 21of Battese and Coelli (1993). (You can download this article at http://www.une.edu.au/economics/publications/econometrics/emwp69.PDF ) To test the above function with an artificial data set, I created the following data.frame. ----------------------------------------------- x1 <- abs(rnorm(100))*1...