This study explores the gender wage gap in Türkiye between 2013 and 2022 using a novel 10-year panel dataset constructed with administrative data compiled for the first time in Türkiye, which includes approximately 14 million full-year workers in 360 subgroups by demographic, sectoral, and occupational factors. The analysis examines the long-term effects of demographic factors, such as age, education, and marital status, as well as the work-related factors, including occupation and employment sector, on the gender wage gap. The findings reveal that men working full-time in formal employment earn 10.1% more than women in Türkiye, and the study shows evidence of how the gender wage gap varies across different demographic groups. The results obtained emphasise the significant roles of marital status, occupation, age, and sector in explaining the wage differential, while education is shown not have a meaningful long-term impact on the wage gap. Moreover, contrary to expectations, the study confirms that occupational experience, the aging labour force, and increased female labour force participation contribute to the widening of the gender wage gap. These findings underline the need for targeted economic and social policies to address gender-based wage differences in a country where the labour force participation of women has traditionally been outstandingly low. This study aims to contribute to the literature by providing a comprehensive analysis of a large-scale dataset that offers new insights into gender wage differences.

Statistical discrimination offers a compelling narrative on gender wage gaps among younger workers. Employers could reduce women's wages to adjust for expected costs linked to child-bearing. If this is the case, then trends toward delayed fertility should reduce the gender wage gap among young workers. We provide a novel collection of adjusted gender wage gap (AGWG) estimates among young workers from 56 countries spanning four decades and use it to test the conjecture that delayed fertility reduces gender wage inequality. We employ instrumental variables, and find that one year postponement of the first birth reduces AGWG by two percentage points (15% of the AGWG). We benchmark this estimate with the help of time-use data.

On 1 January 2016, China further relaxed its family planning policy and adopted the universal two-child policy, which allows any Chinese couple to have two children to address the country’s increasingly severe ageing problems and low fertility. With this shift comes a direct and profound impact on society, especially women; this paper evaluates the effect of the universal two-child policy on the gender wage gap and its mechanism. Several major conclusions emerge from this analysis. The policy significantly expands the urban gender wage gap by 12.86% in the low-policy-fertility-rate (PFR) provinces versus high-PFR provinces. Evidently, it increases the gap among younger or lower-educated people. Moreover, the severity of gender discrimination in the labour market after the implementation of the universal two-child policy is rising, and deserves further attention.

The effect of trade liberalisation on the welfare of workers depends on the nature and magnitude of switching costs that workers face in moving across sectors. This paper investigates the impact of trade liberalisation on the gender wage gap in China, emphasising the role of sectoral switching costs in driving the effect. Using the local labour market approach as the identification strategy, I find that a one-standard-deviation increase in regional trade exposure is associated with a 3.2% increase in the gender wage gap during the 1992–2009 period. The emergence of the empirical pattern is mainly because the sectoral switching costs are larger for females than males. Since trade liberalisation leads to labour reallocation across sectors, the presence of asymmetric sectoral switching costs thus prevents female workers initially employed in the manufacturing sector from accessing advanced service industries, resulting in a rising gender wage gap after the trade. As a response, female manufacturing workers are forced to either be employed in low-skill service industries or exit the labour market. This paper carries strong implications for policies that both promote gender equity and help trade-displaced workers.

We investigate the impact of professional networks on men's and women's earnings, using a dataset of European and North American executives. The size of an individual's network of influential former colleagues has a large positive association with remuneration, with an elasticity of around 21%. However, controlling for unobserved heterogeneity using various fixed effects as well as a placebo technique, we find that the real causal impact of networks is barely positive for men and significantly lower for women. We provide suggestive evidence indicating that the apparent discrimination against women is due to two factors: first, both men and women are helped more by own-gender than other-gender connections, and men have more of these than women do. Second, a subset of employers we identify as ‘female friendly firms’ recruit more women but reward networks less than other firms.

Desde hace algunos años se avanza en investigaciones sobre la evolución, causas y consecuencias de la desigualdad. En ese marco, la desigualdad salarial ha recibido gran atención dadas sus implicancias en relación con las políticas económicas, el crecimiento y el desarrollo. En este artículo se presentan nuevas series y análisis acerca de la desigualdad salarial de género en la industria de la ciudad de Buenos Aires entre 1903 y 1942. Se propone cubrir un área vacante en los estudios del mundo laboral femenino, siempre complejo, y aún más en la primera mitad del siglo XX. Esta aproximación es una aportación a los estudios sobre la desigualdad de género en Argentina, que permitirá comparaciones con otros espacios y regiones.

We study the large observed changes in labor supply by married women in the United States over the post-World War II period, a period that saw little change in the labor supply by single women. We investigate the effects of changes in the gender wage gap, the quantitative impact of technological improvements in the production of nonmarket goods, and the potential inferiority of nonmarket goods in explaining the dramatic change in labor supply. We find that small decreases in the gender wage gap can simultaneously explain the significant increases in the average hours worked by married women and the relative constancy in the hours worked by single women and by single and married men. We also find that the impact of technological improvements in the household on married female hours and on the relative wage of females to males is too small for realistic values. Some specifications of the inferiority of home goods match the hours patterns, but they have counterfactual predictions for wages and expenditure patterns.