Nonparametric Tests of Tail Behavior in Stochastic Frontier Models

@article{William2021NonparametricTO,
  title={Nonparametric Tests of Tail Behavior in Stochastic Frontier Models},
  author={William and C. Horrace and Yulong Wang},
  journal={Journal of Applied Econometrics},
  year={2021}
}
This article studies tail behavior for the error components in the stochastic frontier model, where one component has bounded support on one side, and the other has unbounded support on both sides. Under weak assumptions on the error components, we derive nonparametric tests that the unbounded component distribution has thin tails and that the component tails are equivalent. The tests are useful diagnostic tools for stochastic frontier analysis and kernel deconvolution density estimation. A… 
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