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University of Illinois at Urbana-Champaign

Semiparametric Estimation of Binary Response Valuation Models

Abstract

dc:description

Chapter 3 presents a comparison of the welfare measures obtained through KSE and binary quantile regression. Results obtained indicate that KSE welfare measures are closer to the quantiles approach than the standard logit. However, the differences in the welfare measures suggest that the KSE fail to capture all the structure revealed in the quantiles regression analysis.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Economics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Belluzzo, Walter, Jr
Contributors dc:contributor
  • Koenker, Roger W.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3044048
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/85516

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Belluzzo, Walter, Jr. Semiparametric Estimation of Binary Response Valuation Models. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/85516