Consistent Estimation of Shape-Restricted Functions and Their Derivatives
AbstractWe examine the estimation problem for shape-restricted functions that are continuous, non-negative, monotone non-decreasing, and strictly concave. A sieve estimator based on bivariate Bernstein polynomials is proposed. This estimator is drawn from a sieve, a set of shape-restricted Bernstein polynomials, which grows with the sample size in such a way that it becomes dense in the set of shape-restricted functions. Under some mild conditions, we show that this sieve estimator of the true function and the estimators of its first and second derivatives are uniformly consisten. THe estimators of elasticities of substitution are uniformly consistent as well.
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Bibliographic InfoPaper provided by York University, Department of Economics in its series Working Papers with number 2001_03.
Length: 36 pages
Date of creation: Nov 2001
Date of revision:
shape-restricted functions; bivariate Bernstein polynomials; flexible functional forms; sieve estimator; uniform consistency.;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
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