Frontier Quantile Model Using a Generalized Class of Skewed Distributions
One of the classical ways to predict manufacturing production is to use Stochastic frontier model. At present, the most accurate predictions obtained by using this model involve the use of quantiles and asymmetric Laplace distributions for the noise and inefficiency. In this paper, we analyze the possibility of using more general skew distributions. We show that skew normal distributions lead to better predictions.
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Document Type: Research Article
Affiliations: Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand
Publication date: November 1, 2017
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