Stochastic Frontier Analysis with Maximum Entropy Estimation
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-29583-6_14
Reference37 articles.
1. Aigner, D., Knox Lovell, C., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37.
2. Antunes, J., Gupta, R., Mukherjee, Z., & Wanke, P. (2022). Information entropy, continuous improvement, and US energy performance: A novel stochastic-entropic analysis for ideal solutions (SEA-IS). Annals of Operations Research, 313, 289–318.
3. Battese, G., & Corra, G. (1977). Estimation of a production frontier model: With application to the pastoral zone of Eastern Australia. The Australian Journal of Agricultural and Resource Economics, 21(3), 169–179.
4. Campbell, R., Rogers, K., & Rezek, J. (2008). Efficient frontier estimation: A maximum entropy approach. Journal of Productivity Analysis, 30, 213–221.
5. Caputo, M. R., & Paris, Q. (2008). Comparative statics of the generalized maximum entropy estimator of the general linear model. European Journal of Operational Research, 185, 195–203.
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