Estimation of a selectivity model with misclassified selection

If you need an accessible version of this item, please email your request to digschol@iu.edu so that they may create one and provide it to you.
Date
2022
Language
American English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
Taylor & Francis
Abstract

Despite the great interest in models of self-selection and models with misclassification, there have been few studies combining the two. Notable exceptions are given by McCarthy, Millimet, and Roy and Shiu. None of these models have been developed in a contingent valuation setting that we are interested in. The goal of this note is to add to this literature by presenting a model for estimating willingness to pay using data collected through a contingent valuation survey. We examine the case of a selectivity model in which the outcome equation is interval censored but the decision indicator is not observed.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Tennekoon, V. S. B. W., & Caudill, S. B. (2022). Estimation of a selectivity model with misclassified selection. Communications in Statistics: Case Studies, Data Analysis and Applications, 8(1), 1–14. https://doi.org/10.1080/23737484.2020.1827465
ISSN
2373-7484
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
Communications in Statistics: Case Studies, Data Analysis and Applications
Source
Author
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Author's manuscript
Full Text Available at
This item is under embargo {{howLong}}