Wage Inequality and Wage Mobility in Turkey

Tansel, Aysıt; Dalgıç, Başak; Güven, Aytekin

doi:10.1007/s11205-018-1908-1

Cited by 7 publications

(5 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tansel (2005) and Tansel (1994) demonstrate the public versus private sector wage differentials and a gender pay gap in Turkey via a single year of individual-level data. Tansel et al (2018) studies income inequality by presenting 90/10 and 90/50 wage ratios by gender, age, education, and sector by employing the Surveys on Income and Living Conditions (SILC). Tamkoc and Torul (2018) study the evolution of wage, income and consumption inequality in Turkey after 2002 via a cross-country comparable methodology.…”

Section: Literature Reviewmentioning

confidence: 99%

Heterogeneity in labor income profiles: evidence from Turkey

2020

View full text Add to dashboard Cite

In this paper, we investigate labor income profiles in Turkey. In doing so, we investigate the role of educational attainment, gender, and the public versus private sector employment on labor income profiles by using the Household Budget Survey data from 2002 to 2014. We first report that while average labor income profile in Turkey exhibits a moderate hump-shape over age, there exists an immense degree of heterogeneity in labor income trajectories over education, gender and sector of employment. Second, while the public sector employment is more advantageous for low-educated Turkish employees, university graduates in Turkey's labor market face a risk versus return trade-off in their choice of sectoral employment: the private sector labor income profiles display both a higher level of average income and a higher degree of cross-sectional variation compared to their public sector counterparts. Third, we report a significant gender pay gap especially among low-educated workers, which aligns well with historically low female participation rates in Turkey. Our findings via distributional clustering analysis, ordinary least squares and pseudo-panel estimations all indicate that in attempts to infer about economy-wide average labor income profiles, abstracting away from any of these listed factors could lead to misleading inferences.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Heterogeneity in labor income profiles: evidence from Turkey

2020

View full text Add to dashboard Cite

show abstract

“…As earnings stability and the possibility of upward mobility are key components of economic well-being, varying levels of mobility among only specific groups can imply growing inequality (Oh and Choi 2018;Tansel et al 2019). Previous literature demonstrates that individuals with higher education levels are more likely to experience upward earnings mobility and stability over short and long periods of time (Heckman et al 1998;Connolly and Gottschalk 2006;Raferzeder and Winter-Ebmer 2007;Rauscher and Elliott 2016).…”

Section: Discussionmentioning

confidence: 99%

Short-term earnings mobility in the Canadian and German context: the role of cognitive skills

Pullman

Gauly

Lechner

2021

J Labour Market Res

View full text Add to dashboard Cite

It is well-established that human capital contributes to unequal levels of earnings mobility. Individuals with higher levels of human capital, typically measured through education, earn more on average and are privy to greater levels of upward change over time. Nevertheless, other factors may have an incremental effect over education, namely cognitive ability and the skill demands of employment. To deepen insight into whether these aspects contribute to earnings mobility over a four-year period, the present study examines positional change in Canada and Germany—two contexts typified as examples of liberal and coordinated market economies. A series of descriptive indices and relative change models assess how different measures of human capital are associated with earnings mobility. The results indicate that, while individuals with higher cognitive skills experience greater earnings stability and upward mobility in both countries, there is only an incremental effect of skills on mobility in Germany once we account for educational credentials. The results also provide evidence on the role of skill demands for earnings mobility; in both countries, advanced skills at work are associated with greater short-term mobility, even while controlling for cognitive ability and other factors. Together the results showcase how longitudinal data containing detailed measures of human capital allow for deeper insight into what facilitates earnings mobility.

show abstract

“…Furthermore, Tansel et al (2014), has set up the link between wage inequality and wage mobility for the period of 2005-2011 and it is specified that although there is increase in real wage, this increase has limited effect on wage mobility to reduce wage inequality. Especially it is underlined that lower wage group did not benefit from the wage increase and among higher educated households, women and older households wage inequality are found to be higher.…”

Section: Income Distribution Studies In Turkeymentioning

confidence: 99%

“…As TurkStat already conducts the income quintile share ratio of S80 to S20 (top income quintile share to the bottom quintile) as a case of inter-quintile comparison, investigation of income distribution dynamics based on different percentiles 7 have been also on the agenda of the various studies (etc. Bakış & Polat, 2015;Güven et al, 2014;Tansel et al, 2014;Selim et al, 2014;Filiztekin, 2015;Eksi & Kırdar, 2015;UNDP, 2016;Tamkoç & Torul, 2018). It could be noted that both on national and regional level Atkinson and Theil indexes have been additionally used as alternative metrics to the Gini coefficient.…”

Section: Income Distribution Studies In Turkeymentioning

confidence: 99%

Türkiye İçin Palma Oranının Ulusal ve Bölgesel Düzeyde Analizi

Tahsin

2019

Sosyoekonomi

View full text Add to dashboard Cite

This paper aims to focus on concentration of income inequality in case of Turkey, based on the Palma ratio that is calculated as the ratio of the share of the top 10 percent income to the bottom 40 percent income. In this regard for the post-2001 period, the income shares of the deciles in Turkey both on national and regional (NUTS-1) level would be analyzed. It would be predicted that, this would provide more specific evidences about the dimensions of the hidden inequality. Within this context based on the descriptive statistics and income inequality decomposition analysis, robustness of the Palma ratio would be evaluated. While overlapping trend between the Palma ratio and the Gini coefficient is found to be significant both on national and regional level, the top10 percent income group represents the most distinctive feature in determining concentration of income inequality between and within the regions of Turkey.

show abstract

Wage Inequality and Wage Mobility in Turkey

Cited by 7 publications

References 41 publications

Heterogeneity in labor income profiles: evidence from Turkey

Heterogeneity in labor income profiles: evidence from Turkey

Short-term earnings mobility in the Canadian and German context: the role of cognitive skills

Türkiye İçin Palma Oranının Ulusal ve Bölgesel Düzeyde Analizi

Contact Info

Product

Resources

About