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HomePublicationsEfficiency Analysis Under Uncertainty: A Simulation Study
Efficiency analysis under uncertainty: A simulation study
Author/editor: Shankar S
Published in (Monograph or Journal): Australian Journal of Agricultural and Resource Economics
Year published: 2015
Issue no.: 2
Page no.: 171-188
Volume no.: 59

Abstract

We model production technology in a state-contingent framework assuming that the firms maximise ex ante their preference function subject to stochastic technology constraint; in other words, firms are assumed to act rationally. We show that rational producers who face the same stochastic technology can make significantly different production choices. Further, we develop an econometric methodology to estimate the risk-neutral probabilities, efficiency scores and the parameters of stochastic technology when there are two states of nature and only one of which is observed. Finally, we simulate noiseless data based on our state-contingent specification of technology. Our state-contingent estimator recovers technology parameters and other economic quantities of interest without any error. But, when we apply conventional efficiency estimators to the simulated data, we obtain biased estimates of technical efficiency.

DOI or Web link

http://onlinelibrary.wiley.com/doi/10.1111/1467-8489.12055/abstract