Enthusiastic on @Microeconomics and @Laboureconomics, Econ Lecturer/ researcher @ColomboUni, MSc @warwickecon, Scholar @commschols, My tweets are my own!
This study is part of a broader research initiative we are undertaking with @VeriteResearch, examining the gendered dimensions of unpaid care work in Sri Lanka.
I was pleased to present our ongoing research, coauthored with Professor @dilenigun, titled “Unpaid Care Work in Sri Lanka: Who Cares and Who Shares?” at the @IAFFE 2025 Annual Conference, held at the @UMassAmherst. (1/2)
2025 = 45^2
It's a perfect square. It will probably be the only perfect square year you ever get to live in.
The last time that occurred was in 1936. The next will be in 2116.
So, make 2025 a perfect year for you.
Fascinating paper on where 6000 global elites went to college. Billionaires, CEOs, heads of state, central bankers, etc.
In a word: Harvard.
Fully 10% of global elites went to Harvard. Elite US schools are over-represented (23% IvyPlus), but nobody comes close to Harvard.
🧵
President in his inaugural address to the nation emphasized that IMF program and debt restructuring negotiations will continue and request the international support to do the same. Quite clear and message on commitment to the IMF program and no mention of any significant changes
Young economists, take heart!
This is what happened to the first top-journal submission by the great @DAcemogluMIT
>> Interview by @SimonBowmaker —> https://t.co/eOVdE8miqY
Until now, there has been no systematic tracking of power market structures. Our recent Global Power Market Structures Database changes that, examining 230 economies from 1989 to 2024.
Discover the comprehensive #data: https://t.co/XB3exIZMln
We are delighted to announce that Anna Salomons @UniUtrecht & @DSchindlerEcon are awarded the 2024 Role Models in Economics Award
Full announcement: https://t.co/Ly9hVYSPMj
Huge congratulations to both!
New paper on how the long-run decrease in the gender pay gap is related to:
- workforce aging + worsening young workers' outcomes
- cohort effects and generational replacement
- young men's losses vs. young women's gains
w/ @salva_lat, @BianchiEcon, and @MatteoParadisi
1/5 🧵
In conclusion, despite favorable educational & social indicators, the female #LFPR remains significantly lower. This disparity is exacerbated by the presence of children & adult dependents, with women more likely to withdraw from #LF as #UCW responsibilities increase.(19/21)
Men consistently work longer hours across occupation categories. This gap persists and is explained by demographic characteristics and caregiving responsibilities, limiting women's access to higher-paying jobs and promotions that require longer hours.(20/21)
3. The explained portion is much lower at the 75th percentile, indicating other factors affecting wages at the high end of the distribution.
4. Unlike the mean gap, quantiles reveal a considerable unexplained portion at both the 25th and 50th percentiles in 2010 and 2015. (18/21)
At different percentiles:
1. There is a positive and unfavorable gap for women at both the 25th and 50th percentiles in all three years.
2. There is no considerable gap at the 75th percentile in 2019, a negligible gap in 2015, and a negative gap in 2010.(17/21)
In all three years, there is a positive wage gap unfavorable to female employees. The portion of the gap explained by control variables significantly increased after accounting for children & adult dependents, and parenthood-related variables. (16/21)
Regarding the #GPG, males earn more than females on average in all occupations. Interestingly, in 7/10 occupations, females are largely clustered at lower wage levels. In the other 3; which are predominantly female-dominant, both are clustered at similar wage levels. (15/21)
Consequently, this gap may lead to pay disparities between men and women, as women are often concentrated in low-paid jobs that require less commitment, allowing them more time for unpaid yet productive care work. (14/21)
A positive gap is observed in the #GWHG. This gap persists even after controlling for the children, adult dependents, and parenthood variables. This provides empirical evidence of women’s disproportionate #UCW, which prevents them from engaging in high-commitment jobs. (13/21)
The figure illustrates the #LFP prob. for males and females in households with children under 18. Female #LFPRs are notably lower than males'. Also, more children generally reduce #LFP in both genders. Not only having children, but the number of children also matters. (12/21)
By developing variables to identify parenthood, we aim to capture the dynamics of #UCW to some extent. We are 100% confident that everyone identified through this framework is a parent. However, there can be some parents who are not captured through this framework. (7/21)