scholarly journals Trade Openness and Gender Wage Gap : The Impact of Competition on Sectoral Wage Differences

2015 ◽  
Vol 11 (4) ◽  
pp. 35-50
Author(s):  
Qiyun Feng
2017 ◽  
Vol 38 (3) ◽  
pp. 504-516 ◽  
Author(s):  
Carmen Garcia-Prieto ◽  
Patricia Gómez-Costilla

Purpose The purpose of this paper is to get deeper insight into the measurement of gender wage gap. A proper method to identify which part of gender wage differences is due to discrimination against women is provided, and the relationship between wage differences and education is studied. Design/methodology/approach The stochastic frontier approach is employed to measure wage discrimination against women by using Spanish data from the European Union Statistics on Income and Living Conditions. Mentioned technique allows the authors to split the gender wage gap of workers displaying the same characteristics into two components: the first measures inefficiency in the job search process caused by imperfect information or gender differences concerning preferences regarding working conditions, where as the second takes account of discrimination. Findings A significant level of discrimination is found in the Spanish labour market at all educational levels, but this problem is quantitatively more important when low-educated workers are studied, and gender discrimination is lower for highly educated women. Originality/value In this paper, workers’ potential wage is estimated, and gender discrimination is measured by the gender potential wage gap, since it is not dependent on other wage determinants such as diverse preferences, unmeasured working abilities or imperfect information.


2014 ◽  
Vol 35 (3) ◽  
pp. 267-290
Author(s):  
Rita Asplund ◽  
Reija Lilja

Purpose – Both academia and policymakers express a strong belief in higher average education levels exerting a narrowing impact on wage inequality in general and gender wage gaps in particular. The purpose of this paper is to scrutinize whether or not this effect extends to R&D- and export-intensive branches such as the technology industry. Design/methodology/approach – In exploring the impact of individual and job-related background factors and, especially, of job-task evaluation schemes on the size and change in gender wage gaps in the technology industry, the paper applies an elaborated decomposition method based on unconditional quantile regression techniques. Findings – While changes in standard human capital endowments can explain little, if anything, of the growth in real wages or the widening of wage dispersion among the Finnish technology industry's white-collar workers, a new job-task evaluation scheme introduced in 2002 seems to have succeeded, at least in part, to make the wage-setting process more transparent by re-allocating especially the technology industry's female white-collar workers in a way that better reflects their skills, efforts and responsibilities. Practical implications – One crucial implication of this finding is that improving the standard human capital of women closer to that of men will not suffice to narrow the gender wage gap in the advanced parts of the economy and, hence, not also the overall gender wage gap. The reason is obvious: concomitant with rising average education levels, other skill aspects have received increasing attention in working life. Consequently, a conscious combination of formal and informal competencies as laid down in well-designed job-task evaluation schemes may, in many instances, offer a more powerful path for tackling the gender wage gap. Originality/value – While the existing evidence on the impact of performance-related pay on gender wage gaps is still scarce but growing the authors know of no empirical studies analyzing the gender pay-gap effect of job-task evaluation systems.


Author(s):  
Rebecca Cassells ◽  
Yogi Vidyattama ◽  
Riyana Miranti ◽  
Justine McNamara

2019 ◽  
Author(s):  
Herman Sahni ◽  
Suresh Lazarus Paul
Keyword(s):  
Wage Gap ◽  

2021 ◽  
Author(s):  
Kore Marc Antoine Guei

Abstract The paper assesses the impact of trade liberalization on the labour market by focusing on skill wage premium. The paper tests these effects by developing a monopolistic competition model with two factors of production characterized by their skill levels (skilled and unskilled labour). The paper finds that tariff’s level reductions cause a moderate increase in the wage gap. Thus, our analysis shows that a 10% decrease in tariffs is accompanied by a 16.1 % increase in the skill premium. Also, the same level of tariffs’ cut will on average increase the gender wage gap by 26.8%. The study implies that trade liberalization tends to benefit more workers in the skilled labour market compared to workers in the unskilled labour market.


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