M. Wiper, H. Veiga, Y. Deng
We develop an approach to stochastic frontier analysis in the presence of inefficiency heterogeneity. Although we model the frontier parametrically, the inefficiency term is modeled using a Dirichlet process mixture of regressions through the origin. This structure means that different functional forms for the inefficiency term can be well modeled. Our approach is illustrated with various real and simulated examples.
Keywords: stochastic frontier analysis, efficiency, dirichlet process mixtures
Scheduled
Bayesian Inference for Economic Models
June 11, 2025 10:30 AM
Sala de prensa (MR 13)