Abstract
AbstractIn this paper, we propose the use of stochastic frontier models to impose theoretical regularity constraints (like monotonicity and concavity) on flexible functional forms. These constraints take the form of inequalities involving the data and the parameters of the model. We address a major concern when statistically endogenous variables are present in these inequalities. We present results with and without endogeneity in the inequality constraints. In the system case (e.g., cost-share equations) or more generally, in production function-first-order conditions case, we detect an econometric problem which we solve successfully. We provide an empirical application to US electric power generation plants during 1986–1997, previously used by several authors.
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics,Social Sciences (miscellaneous),Mathematics (miscellaneous),Statistics and Probability
Reference30 articles.
1. Diewert WE, Wales TJ (1987) Flexible functional forms and global curvature conditions. Econometrica 5(1):43–68
2. Gallant AR, Golub GH (1984) Imposing curvature restrictions on flexible functional forms. J Econom 26:295–322
3. Geweke J (1986) Exact inference in the inequality constrained normal linear regression model. J Appl Econom 1(1):127–141
4. Geweke J (1991) Efficient simulation from the multivariate normal and Student-t distributions subject to linear constraints and the evaluation of constraint probabilities, computer science and statistics. In: Proceedings of the 23rd symposium on the interface. Seattle Washington
5. Geweke J (1992) Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In: Bernado M, Berger JO, Dawid AP, Smith AFM (eds) Bayesian statistics 4. J. Clarendon Press, Oxford, pp 169–193