The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan.

碩士 === 國立清華大學 === 經濟學系 === 100 === The role of female in the labor market becomes indispensable as a result of the increasing popularization of female education, as well as the expanding labor force participation of women. Furthermore, estimating the return to education is always an important issue...

Full description

Bibliographic Details
Main Authors: Cheng, Shan-Ni, 鄭善妮
Other Authors: Chuang, Hwei-Lin
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/67278561763796419358
id ndltd-TW-100NTHU5389008
record_format oai_dc
spelling ndltd-TW-100NTHU53890082015-10-13T21:27:23Z http://ndltd.ncl.edu.tw/handle/67278561763796419358 The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan. 台灣女性教育報酬率之實證研究 Cheng, Shan-Ni 鄭善妮 碩士 國立清華大學 經濟學系 100 The role of female in the labor market becomes indispensable as a result of the increasing popularization of female education, as well as the expanding labor force participation of women. Furthermore, estimating the return to education is always an important issue in labor economics. Three potential problems exist in estimating the return to education of females: selection bias, endogeneity and heterogeneous characteristics. Because of these problems, the traditional OLS estimation will lead to biased results. The goal of this thesis is to discuss how to obtain the unbiased estimate of the return to education of females using Taiwan’s data. This study applies the Heckman’s two-step estimation approach, the two-stage least squares estimation, and the propensity score matching approach to deal with the selection bias and the endogeneity problems. In addition, this study adopts the quantile regression model to take into account the heterogeneous characteristics issue in order to obtain better estimates of the return to education at different wage levels. The estimation results show that the return to higher education from different econometrics methods is between 3%-10% approximately. The estimated return from the OLS estimation method is the smallest, and followed by the Heckman’s two-step estimation approach, the two-stage least squares estimation, and the propensity score matching approach. This result suggests that the OLS estimation has largely underestimated the return to education. The quantile regression model’s results indicate that ignoring the selection bias and the endogeneity problems will underestimate the return to education of females on the right tail of the wages distribution. The return to education and the wages distribution show a significantly positive relationship. This study shows that education and personal skills are mutually reinforcing, hence females wage gap will be enlarged by education. Chuang, Hwei-Lin 莊慧玲 2012 學位論文 ; thesis 81 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立清華大學 === 經濟學系 === 100 === The role of female in the labor market becomes indispensable as a result of the increasing popularization of female education, as well as the expanding labor force participation of women. Furthermore, estimating the return to education is always an important issue in labor economics. Three potential problems exist in estimating the return to education of females: selection bias, endogeneity and heterogeneous characteristics. Because of these problems, the traditional OLS estimation will lead to biased results. The goal of this thesis is to discuss how to obtain the unbiased estimate of the return to education of females using Taiwan’s data. This study applies the Heckman’s two-step estimation approach, the two-stage least squares estimation, and the propensity score matching approach to deal with the selection bias and the endogeneity problems. In addition, this study adopts the quantile regression model to take into account the heterogeneous characteristics issue in order to obtain better estimates of the return to education at different wage levels. The estimation results show that the return to higher education from different econometrics methods is between 3%-10% approximately. The estimated return from the OLS estimation method is the smallest, and followed by the Heckman’s two-step estimation approach, the two-stage least squares estimation, and the propensity score matching approach. This result suggests that the OLS estimation has largely underestimated the return to education. The quantile regression model’s results indicate that ignoring the selection bias and the endogeneity problems will underestimate the return to education of females on the right tail of the wages distribution. The return to education and the wages distribution show a significantly positive relationship. This study shows that education and personal skills are mutually reinforcing, hence females wage gap will be enlarged by education.
author2 Chuang, Hwei-Lin
author_facet Chuang, Hwei-Lin
Cheng, Shan-Ni
鄭善妮
author Cheng, Shan-Ni
鄭善妮
spellingShingle Cheng, Shan-Ni
鄭善妮
The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan.
author_sort Cheng, Shan-Ni
title The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan.
title_short The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan.
title_full The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan.
title_fullStr The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan.
title_full_unstemmed The Empirical Study on the Returns to Education: Evidence from Female Workers in Taiwan.
title_sort empirical study on the returns to education: evidence from female workers in taiwan.
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/67278561763796419358
work_keys_str_mv AT chengshanni theempiricalstudyonthereturnstoeducationevidencefromfemaleworkersintaiwan
AT zhèngshànnī theempiricalstudyonthereturnstoeducationevidencefromfemaleworkersintaiwan
AT chengshanni táiwānnǚxìngjiàoyùbàochóulǜzhīshízhèngyánjiū
AT zhèngshànnī táiwānnǚxìngjiàoyùbàochóulǜzhīshízhèngyánjiū
AT chengshanni empiricalstudyonthereturnstoeducationevidencefromfemaleworkersintaiwan
AT zhèngshànnī empiricalstudyonthereturnstoeducationevidencefromfemaleworkersintaiwan
_version_ 1718062668612370432