In this paper we describe the use of modern numerical integration methods for making posterior inferences in composed error stochastic frontier models for panel data or individual cross-sections.Two Monte Carlo methods have been used in practical applications.We survey these two methods in some detail and argue that Gibbs sampling methods can greatly reduce the computational difficulties involved in analyzing such models.
|Place of Publication||Tilburg|
|Number of pages||17|
|Publication status||Published - 1996|
|Name||CentER Discussion Paper|
- Monte Carlo Technique
- Numerical Integration