Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9555333 | Journal of Econometrics | 2005 | 20 Pages |
Abstract
This paper develops probability statements and ranking and selection rules for independent truncated normal populations. An application to a broad class of parametric stochastic frontier models is considered, where interest centers on making probability statements concerning unobserved firm-level technical inefficiency. In particular, probabilistic decision rules allow subsets of firms to be deemed relatively efficient or inefficient at prespecified probabilities. An empirical example is provided.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
William C. Horrace,