Econometric analysis of older of work using a copula and sample selection approach

© 2014 by the Mathematical Association of Thailand. All rights reserved. This paper aims at a copula approach to a sample selection model to determine the factors affecting the labor force participation and working hours of older workers in Thailand. Several of the copula functions, such as the Gaus...

Full description

Saved in:
Bibliographic Details
Main Authors: A. Wichian, S. Sriboonchitta
Format: Journal
Published: 2018
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907234108&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/45364
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-45364
record_format dspace
spelling th-cmuir.6653943832-453642018-01-24T06:09:09Z Econometric analysis of older of work using a copula and sample selection approach A. Wichian S. Sriboonchitta © 2014 by the Mathematical Association of Thailand. All rights reserved. This paper aims at a copula approach to a sample selection model to determine the factors affecting the labor force participation and working hours of older workers in Thailand. Several of the copula functions, such as the Gaussian, and Archimedean copulas are compared to the standard Heckman's method which is restricted to linear dependence. This paper demonstrates that the copula approach to the sample selection model, which allows for flexibility in dependence structure and relaxing the joint normality assumption, works in this context and performs better than the BVN (bivariate normal model) especially, the Frank (L–t)copula model. Furthermore, the results obtained show the presence of significant positive dependency of unobserved factors between two error terms, which implies that the selectivity bias exists and also that the unobserved factors that increase(decrease) the propensity to participate in the labor force of older workers also increase (decrease) the working hours. In addition, the policy recommendation is that the stakeholders should consider on having a program that can increase working hours of some worker groups such as female workers, or workers who are not single or workers who do not stay in the Bangkok province. 2018-01-24T06:09:09Z 2018-01-24T06:09:09Z 2014-01-01 Journal 16860209 2-s2.0-84907234108 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907234108&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45364
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2014 by the Mathematical Association of Thailand. All rights reserved. This paper aims at a copula approach to a sample selection model to determine the factors affecting the labor force participation and working hours of older workers in Thailand. Several of the copula functions, such as the Gaussian, and Archimedean copulas are compared to the standard Heckman's method which is restricted to linear dependence. This paper demonstrates that the copula approach to the sample selection model, which allows for flexibility in dependence structure and relaxing the joint normality assumption, works in this context and performs better than the BVN (bivariate normal model) especially, the Frank (L–t)copula model. Furthermore, the results obtained show the presence of significant positive dependency of unobserved factors between two error terms, which implies that the selectivity bias exists and also that the unobserved factors that increase(decrease) the propensity to participate in the labor force of older workers also increase (decrease) the working hours. In addition, the policy recommendation is that the stakeholders should consider on having a program that can increase working hours of some worker groups such as female workers, or workers who are not single or workers who do not stay in the Bangkok province.
format Journal
author A. Wichian
S. Sriboonchitta
spellingShingle A. Wichian
S. Sriboonchitta
Econometric analysis of older of work using a copula and sample selection approach
author_facet A. Wichian
S. Sriboonchitta
author_sort A. Wichian
title Econometric analysis of older of work using a copula and sample selection approach
title_short Econometric analysis of older of work using a copula and sample selection approach
title_full Econometric analysis of older of work using a copula and sample selection approach
title_fullStr Econometric analysis of older of work using a copula and sample selection approach
title_full_unstemmed Econometric analysis of older of work using a copula and sample selection approach
title_sort econometric analysis of older of work using a copula and sample selection approach
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907234108&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/45364
_version_ 1681422731507138560