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An Empirical Analysis of Employment Stability and the Wage Gap of Rural Migrants in China Based on Quantile Regression
Under the background of accelerated integrated urban-rural development, this paper offers an analysis on the short-term employment of rural migrants in China and resulting wage gap between long-term and short-term rural migrants. On the basis of correcting for sample selection problems arising from...
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Published in: | China economist (Beijing, China) China), 2013-11, Vol.8 (6), p.98-111 |
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creator | Baihui, Liu Enhui, Kou |
description | Under the background of accelerated integrated urban-rural development, this paper offers an analysis on the short-term employment of rural migrants in China and resulting wage gap between long-term and short-term rural migrants. On the basis of correcting for sample selection problems arising from labor market participation and short-term employment, rural migrants' wage function is estimated using quantile regression method, and wage gap between long-term and short-term rural migrants is decomposed using MM method. Our empirical results suggest that those with a higher level of education, training experience and local employment recommended by family relations or in formal labor market are more likely to secure long-term labor contract," region and education have significant contributions to the wage of rural migrants," rural migrants of both long- and short-term contract types have great gaps at the bottom of salary distribution; and there exists a sticky floor effect in wage difference of rural migrants. These results have important policy implications in enhancing employment stability of rural migrants, improving income distribution equity, speeding up the process of urbanization, and balancing regional development. |
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On the basis of correcting for sample selection problems arising from labor market participation and short-term employment, rural migrants' wage function is estimated using quantile regression method, and wage gap between long-term and short-term rural migrants is decomposed using MM method. Our empirical results suggest that those with a higher level of education, training experience and local employment recommended by family relations or in formal labor market are more likely to secure long-term labor contract," region and education have significant contributions to the wage of rural migrants," rural migrants of both long- and short-term contract types have great gaps at the bottom of salary distribution; and there exists a sticky floor effect in wage difference of rural migrants. 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These results have important policy implications in enhancing employment stability of rural migrants, improving income distribution equity, speeding up the process of urbanization, and balancing regional development.</description><subject>Decomposition</subject><subject>Employees</subject><subject>Employment</subject><subject>Human capital</subject><subject>Income distribution</subject><subject>Labor contracts</subject><subject>Labor market</subject><subject>Migrant workers</subject><subject>Parameter estimation</subject><subject>Participation</subject><subject>Variables</subject><subject>Wage differential</subject><subject>Wages & salaries</subject><subject>中国</subject><subject>农民工工资</subject><subject>分位数回归</subject><subject>劳动力市场</subject><subject>实证分析</subject><subject>就业</subject><subject>差距</subject><subject>稳定性</subject><issn>1673-8837</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNotj81qwzAQhH1ooSHNO2zp2SBHf_YxDWlaSClNAz2atSw5Co7kSHbBb1-HdC4DO98szF0yy4SkaZ5T-ZAsYjyRSZxJJvgs-V052Jw7G6zCFlYO2zHaCN5cr60fz9r18N1jZVvbj4Cuhv6o4QcbDVvsruB-CFP1wzYBXR_BOlgfrUN4wahr8A6-himwrYa9boKO0Xr3mNwbbKNe_Ps8ObxuDuu3dPe5fV-vdqnijKeMMlkVRula1WhyKuRSSlEUIqc1QVURok2BOWMZqWSFRkjDlc6kFibTHCmdJ8-3t13wl0HHvjz5IUwjY5kxXiyJZDmfqKcbpY7eNRfrmrIL9oxhLJksBOdLQv8AJVVjAA</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Baihui, Liu</creator><creator>Enhui, Kou</creator><general>Institute of Industrial Economics, Chinese Academy of Social Sciences</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>3V.</scope><scope>7RO</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AI</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AXJJW</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BVBZV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FREBS</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20131101</creationdate><title>An Empirical Analysis of Employment Stability and the Wage Gap of Rural Migrants in China Based on Quantile Regression</title><author>Baihui, Liu ; Enhui, Kou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c545-4347b9fcedcdaf8367277699683d0acb00ef9a84410b7baf67f5ce17e6f1e5a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Decomposition</topic><topic>Employees</topic><topic>Employment</topic><topic>Human capital</topic><topic>Income distribution</topic><topic>Labor contracts</topic><topic>Labor market</topic><topic>Migrant workers</topic><topic>Parameter estimation</topic><topic>Participation</topic><topic>Variables</topic><topic>Wage differential</topic><topic>Wages & salaries</topic><topic>中国</topic><topic>农民工工资</topic><topic>分位数回归</topic><topic>劳动力市场</topic><topic>实证分析</topic><topic>就业</topic><topic>差距</topic><topic>稳定性</topic><toplevel>online_resources</toplevel><creatorcontrib>Baihui, Liu</creatorcontrib><creatorcontrib>Enhui, Kou</creatorcontrib><collection>维普_期刊</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>ProQuest Central (Corporate)</collection><collection>Asian Business Database</collection><collection>ABI/INFORM Collection (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Asian Business Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Asian & European Business Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>East & South Asia Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Asian & European Business Collection (Alumni)</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>China economist (Beijing, China)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baihui, Liu</au><au>Enhui, Kou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Empirical Analysis of Employment Stability and the Wage Gap of Rural Migrants in China Based on Quantile Regression</atitle><jtitle>China economist (Beijing, China)</jtitle><addtitle>China Economist</addtitle><date>2013-11-01</date><risdate>2013</risdate><volume>8</volume><issue>6</issue><spage>98</spage><epage>111</epage><pages>98-111</pages><issn>1673-8837</issn><abstract>Under the background of accelerated integrated urban-rural development, this paper offers an analysis on the short-term employment of rural migrants in China and resulting wage gap between long-term and short-term rural migrants. On the basis of correcting for sample selection problems arising from labor market participation and short-term employment, rural migrants' wage function is estimated using quantile regression method, and wage gap between long-term and short-term rural migrants is decomposed using MM method. Our empirical results suggest that those with a higher level of education, training experience and local employment recommended by family relations or in formal labor market are more likely to secure long-term labor contract," region and education have significant contributions to the wage of rural migrants," rural migrants of both long- and short-term contract types have great gaps at the bottom of salary distribution; and there exists a sticky floor effect in wage difference of rural migrants. These results have important policy implications in enhancing employment stability of rural migrants, improving income distribution equity, speeding up the process of urbanization, and balancing regional development.</abstract><cop>Beijing</cop><pub>Institute of Industrial Economics, Chinese Academy of Social Sciences</pub><tpages>14</tpages></addata></record> |
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subjects | Decomposition Employees Employment Human capital Income distribution Labor contracts Labor market Migrant workers Parameter estimation Participation Variables Wage differential Wages & salaries 中国 农民工工资 分位数回归 劳动力市场 实证分析 就业 差距 稳定性 |
title | An Empirical Analysis of Employment Stability and the Wage Gap of Rural Migrants in China Based on Quantile Regression |
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