Pub Date : 2019-04-30DOI: 10.1007/s12122-019-09288-x
N. Ahmad, Michael Svarer, Amjad Naveed
{"title":"The Effect of Active Labour Market Programmes and Benefit Sanctions on Reducing Unemployment Duration","authors":"N. Ahmad, Michael Svarer, Amjad Naveed","doi":"10.1007/s12122-019-09288-x","DOIUrl":"https://doi.org/10.1007/s12122-019-09288-x","url":null,"abstract":"","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"20 1","pages":"202 - 229"},"PeriodicalIF":0.8,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12122-019-09288-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52875519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-27DOI: 10.1007/s12122-019-09286-z
Xiahai Wei, T. Fang, Yang Jiao, Jiahui Li
{"title":"Language Premium Myth or Fact: Evidence from Migrant Workers of Guangdong, China","authors":"Xiahai Wei, T. Fang, Yang Jiao, Jiahui Li","doi":"10.1007/s12122-019-09286-z","DOIUrl":"https://doi.org/10.1007/s12122-019-09286-z","url":null,"abstract":"","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"40 1","pages":"356 - 386"},"PeriodicalIF":0.8,"publicationDate":"2019-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12122-019-09286-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52875332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-27DOI: 10.1007/s12122-019-09287-y
R. Clark, R. Hammond, Christelle Khalaf
{"title":"Planning for Retirement? The Importance of Time Preferences","authors":"R. Clark, R. Hammond, Christelle Khalaf","doi":"10.1007/s12122-019-09287-y","DOIUrl":"https://doi.org/10.1007/s12122-019-09287-y","url":null,"abstract":"","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"40 1","pages":"127 - 150"},"PeriodicalIF":0.8,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12122-019-09287-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49479862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-22DOI: 10.1007/s12122-019-09284-1
Marcos Gómez, Francisco Parro
{"title":"Unintended Displacement Effects of Youth Training Programs in a Directed Search Model","authors":"Marcos Gómez, Francisco Parro","doi":"10.1007/s12122-019-09284-1","DOIUrl":"https://doi.org/10.1007/s12122-019-09284-1","url":null,"abstract":"","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"40 1","pages":"230 - 247"},"PeriodicalIF":0.8,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12122-019-09284-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52875199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-01DOI: 10.1007/s12122-019-9282-6
Liwen Chen, John Gordanier, Orgul Ozturk
This paper examines the extent to which children enter into occupations that are different from their father’s occupation, but require similar skills, which we call task following. We consider the possibility that fathers are able to transfer task-specific human capital either through investments or genetic endowments to their children. We show that there is indeed substantial task following, beyond occupational following and that task following is associated with a wage premium of around 5% over otherwise identical workers employed in a job with the same primary task. The size of the premium is similar in magnitude to the size of the premium associated with occupational following. The wage premium is robust to controls for industry, occupation categories and occupation characteristics.
{"title":"Task Followers and Labor Market Outcomes","authors":"Liwen Chen, John Gordanier, Orgul Ozturk","doi":"10.1007/s12122-019-9282-6","DOIUrl":"https://doi.org/10.1007/s12122-019-9282-6","url":null,"abstract":"This paper examines the extent to which children enter into occupations that are different from their father’s occupation, but require similar skills, which we call task following. We consider the possibility that fathers are able to transfer task-specific human capital either through investments or genetic endowments to their children. We show that there is indeed substantial task following, beyond occupational following and that task following is associated with a wage premium of around 5% over otherwise identical workers employed in a job with the same primary task. The size of the premium is similar in magnitude to the size of the premium associated with occupational following. The wage premium is robust to controls for industry, occupation categories and occupation characteristics.","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"17 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-11DOI: 10.1007/s12122-018-9281-z
William E. Even, D. Macpherson
{"title":"Where Does the Minimum Wage Bite Hardest in California?","authors":"William E. Even, D. Macpherson","doi":"10.1007/s12122-018-9281-z","DOIUrl":"https://doi.org/10.1007/s12122-018-9281-z","url":null,"abstract":"","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"40 1","pages":"1 - 23"},"PeriodicalIF":0.8,"publicationDate":"2018-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12122-018-9281-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43508310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study uses employment data on California county-industry pairs (CIPs) between 1990 and 2016 to test whether minimum wage increases caused employment growth to slow most in the CIPs with a large share of low wage workers. Evidence supports the hypothesis, and we use the estimates to simulate the effect of a 10% increase in the minimum wage. The simulations suggest that a 10% increase could cause a 3.4% employment loss in the average CIP in California. The job loss is projected to be concentrated in two industries: accommodation and food services, and retail. While the most populated counties of California are expected to incur the largest employment loss in terms of the number of workers, the smaller counties generally experience a larger percentage point loss in employment due to the lower wages and the greater number of workers that would be affected by the minimum wage hike. Moreover, there is substantial variation across counties in terms of the percentage of jobs lost within a given industry.
{"title":"Where Does the Minimum Wage Bite Hardest in California?","authors":"William E. Even, D. Macpherson","doi":"10.2139/ssrn.3127827","DOIUrl":"https://doi.org/10.2139/ssrn.3127827","url":null,"abstract":"This study uses employment data on California county-industry pairs (CIPs) between 1990 and 2016 to test whether minimum wage increases caused employment growth to slow most in the CIPs with a large share of low wage workers. Evidence supports the hypothesis, and we use the estimates to simulate the effect of a 10% increase in the minimum wage. The simulations suggest that a 10% increase could cause a 3.4% employment loss in the average CIP in California. The job loss is projected to be concentrated in two industries: accommodation and food services, and retail. While the most populated counties of California are expected to incur the largest employment loss in terms of the number of workers, the smaller counties generally experience a larger percentage point loss in employment due to the lower wages and the greater number of workers that would be affected by the minimum wage hike. Moreover, there is substantial variation across counties in terms of the percentage of jobs lost within a given industry.","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"40 1","pages":"1-23"},"PeriodicalIF":0.8,"publicationDate":"2018-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2139/ssrn.3127827","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43198084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-12DOI: 10.1007/s12122-018-9280-0
Christian Brown
Before and after incarceration, the typical prisoner differs from the typical American in several ways, including education, employment prospects, and earnings. Current research on the effect of incarceration on earnings predominantly uses techniques that characterize incarceration’s effect on mean wages and is limited to observing wages immediately after release. I employ data drawn from the National Longitudinal Survey of Youth and a variety of quantile regressions to estimate differential incarceration penalties across the wage and income distribution. I also estimate the long-term effects of incarceration on mean wages, income, and labor supply. Results suggest that the incarceration wage penalty is relatively homogenous across wages, while more severe penalties are estimated at lower income levels, suggestive of incarceration’s deleterious effect on labor supply. Mean earnings and labor supply penalties are most severe in the period after release but gradually diminish over time for releasees that do not experience additional incarceration spells.
在入狱前后，典型的囚犯与典型的美国人在教育、就业前景和收入等几个方面都有所不同。目前有关监禁对收入影响的研究主要使用监禁对平均工资影响的技术，而且仅限于观察获释后的工资。我采用了全国青年纵向调查（National Longitudinal Survey of Youth）中的数据和各种量级回归（quantile regressions）来估算工资和收入分布中不同的监禁惩罚。我还估算了监禁对平均工资、收入和劳动力供给的长期影响。结果表明，监禁对工资的惩罚在不同的工资水平上相对一致，而在较低的收入水平上，惩罚则更为严重，这表明监禁对劳动力供给产生了有害影响。平均收入和劳动力供给惩罚在刑满释放后的一段时间内最为严重，但随着时间的推移，对于没有经历更多监禁期的刑满释放人员来说，这种惩罚会逐渐减弱。
{"title":"Incarceration and Earnings: Distributional and Long-Term Effects","authors":"Christian Brown","doi":"10.1007/s12122-018-9280-0","DOIUrl":"https://doi.org/10.1007/s12122-018-9280-0","url":null,"abstract":"Before and after incarceration, the typical prisoner differs from the typical American in several ways, including education, employment prospects, and earnings. Current research on the effect of incarceration on earnings predominantly uses techniques that characterize incarceration’s effect on mean wages and is limited to observing wages immediately after release. I employ data drawn from the National Longitudinal Survey of Youth and a variety of quantile regressions to estimate differential incarceration penalties across the wage and income distribution. I also estimate the long-term effects of incarceration on mean wages, income, and labor supply. Results suggest that the incarceration wage penalty is relatively homogenous across wages, while more severe penalties are estimated at lower income levels, suggestive of incarceration’s deleterious effect on labor supply. Mean earnings and labor supply penalties are most severe in the period after release but gradually diminish over time for releasees that do not experience additional incarceration spells.","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"17 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-07DOI: 10.1007/s12122-018-9279-6
Daniel J. Henderson, Anne-Charlotte Souto
In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in labor economics applications. We focus our attention on issues commonly found in the labor literature such as how to account for endogeneity via instrumental variables in a nonparametric setting. We showcase these methods via data from the Current Population Survey.
{"title":"An Introduction to Nonparametric Regression for Labor Economists","authors":"Daniel J. Henderson, Anne-Charlotte Souto","doi":"10.1007/s12122-018-9279-6","DOIUrl":"https://doi.org/10.1007/s12122-018-9279-6","url":null,"abstract":"In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in labor economics applications. We focus our attention on issues commonly found in the labor literature such as how to account for endogeneity via instrumental variables in a nonparametric setting. We showcase these methods via data from the Current Population Survey.","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"14 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2018-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-29DOI: 10.1007/s12122-018-9275-x
Adela Luque, Maggie R. Jones
The literature on the self-employed hypothesizes two different paths to self-employment. On the one hand, self-employment is associated with entrepreneurship and a motivation to pursue an opportunity. On the other hand, previous research indicates that people also become self-employed because of limited opportunities in the wage sector. Using a unique set of data that links the American Community Survey to Form 1040 and W-2 records, this paper extends the existing literature by examining self-employment duration for five consecutive entry cohorts, including two cohorts who entered self-employment during the Great Recession. Severely limited labor market opportunities may have driven many in the recession cohorts to enter self-employment, while those entering self-employment during the boom may have been pursuing opportunities under favorable market conditions. To more explicitly test the concept of “necessity” versus “opportunity” self-employment, we also examine the pre-entry wage labor attachment of entrants. Specifically, we ask whether an association exists between wage labor attachment and the duration of self-employment. We also explore whether the demographic/socio-economic characteristics and self-employment exit behavior of the cohorts are different, and if so, how. We find evidence consistent with the existence of “necessity” vs. “opportunity” self-employment types. Even when controlling for local economic conditions and the demographic/socio-economic characteristics of the self-employed, entrants with a more tenuous connection to the wage labor market exit self-employment earlier, and are more likely to transition from self-employment to unemployment.
{"title":"Differences in Self-Employment Duration by Year of Entry & Pre-Entry Wage-Sector Attachment","authors":"Adela Luque, Maggie R. Jones","doi":"10.1007/s12122-018-9275-x","DOIUrl":"https://doi.org/10.1007/s12122-018-9275-x","url":null,"abstract":"The literature on the self-employed hypothesizes two different paths to self-employment. On the one hand, self-employment is associated with entrepreneurship and a motivation to pursue an opportunity. On the other hand, previous research indicates that people also become self-employed because of limited opportunities in the wage sector. Using a unique set of data that links the American Community Survey to Form 1040 and W-2 records, this paper extends the existing literature by examining self-employment duration for five consecutive entry cohorts, including two cohorts who entered self-employment during the Great Recession. Severely limited labor market opportunities may have driven many in the recession cohorts to enter self-employment, while those entering self-employment during the boom may have been pursuing opportunities under favorable market conditions. To more explicitly test the concept of “necessity” versus “opportunity” self-employment, we also examine the pre-entry wage labor attachment of entrants. Specifically, we ask whether an association exists between wage labor attachment and the duration of self-employment. We also explore whether the demographic/socio-economic characteristics and self-employment exit behavior of the cohorts are different, and if so, how. We find evidence consistent with the existence of “necessity” vs. “opportunity” self-employment types. Even when controlling for local economic conditions and the demographic/socio-economic characteristics of the self-employed, entrants with a more tenuous connection to the wage labor market exit self-employment earlier, and are more likely to transition from self-employment to unemployment.","PeriodicalId":46592,"journal":{"name":"Journal of Labor Research","volume":"30 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2018-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：