Abstract/Details

Approximation and consistent estimation of shape -restricted functions and their derivatives

Chak, Pok Man.   York University (Canada) ProQuest Dissertations Publishing,  2001. NQ67896.

Abstract (summary)

In this thesis we propose a functional form for the study of shape-restricted functions based on Bernstein polynomials. In approximation, sequences of Bernstein polynomials and their associated derivatives converge uniformly to a known function and its derivatives. This shape-preserving property allows Bernstein polynomials to provide global approximation for shape-restricted functions. To estimate shape-restricted functions, we introduce a sieve estimator that is based on Bernstein polynomials. We show that, under some mild assumptions, this sieve estimator and its first and second derivatives are uniformly consistent estimators of the true function and its corresponding derivatives. A uniformly consistent estimator of the elasticity of substitution is thus obtained. All of these estimators are straightforward to implement in an applied setting.

Indexing (details)


Subject
Studies;
Economic theory;
Random variables;
Elasticity;
Flexibility;
Copyright;
Restrictions;
Approximation;
Numerical analysis;
Prices;
Polynomials;
Production functions;
Economics
Classification
0511: Economic theory
Identifier / keyword
Social sciences; Approximation; Bernstein polynomials; Derivatives; Estimation; Shape-restricted functions; Sieve estimator
Title
Approximation and consistent estimation of shape -restricted functions and their derivatives
Author
Chak, Pok Man
Number of pages
121
Degree date
2001
School code
0267
Source
DAI-A 63/04, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
978-0-612-67896-5
Advisor
Smith, J. B.
University/institution
York University (Canada)
University location
Canada -- Ontario, CA
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
NQ67896
ProQuest document ID
304740459
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/304740459