Eficiência de produção: um enfoque Bayesiano. / Production efficiency: a bayesian approach.

AUTOR(ES)

Juliana Garcia Cespedes

DATA DE PUBLICAÇÃO

2004

RESUMO

The use of stochastic production frontier with multiple-outputs has been waking up a special interest in areas of the economy that are confronted with the problem of quantifying the technical efficiency of firms. In the classic statistics, when it is confronted with firms that possess several outputs, cost or profit functions are more used to calculate that efficiency, but that requests an amount larger of information about data set, besides the amounts of inputs and outputs, are also necessary your prices and costs. When just exist information on inputs (x) and outputs (y) there is need to work with the production function and the lack of enough statistics for some parameters turn the difficult analysis. Bayesian approach can become a useful tool for that case, because is possible to obtain a sample of the distribution of probability of the parameters of the model, making possible the obtaining of summaries of interest. To obtain samples of those distributions methods Markov chains Monte Carlo, that is, Gibbs sampling, Metropolis-Hastings and Slice sampling are used.

ASSUNTO(S)

bayesian inference eficiência econômica inferência bayesiana economic efficiency

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