❗️We are looking forward to receiving your submissions for the 16th #TWEC Transatlantic Workshop on the Economics of crime. @chtraxler.bsky.social
⏳ Deadline: May 02 - five weeks from today.
See details in the thread below 👇
📣 We’re hiring! 📣
Join @woessmann.bsky.social and my team at @ifoeducation.bsky.social as a PhD student to conduct super-exciting field experiments in the Economics of Education 🤩🚀
Reach out if you have any questions! 💪🏻🙏🏻
@cesifo.org
I've discovered 257 Bluesky users from my social network using the Sky Follower Bridge.✨
Check it out: share.sky-follower-bridge.dev?q=257
#skyfollowerbridge
The news over the weekend and this morning have been terrifying. I'm dismayed at the total lack of action but I also have no idea how to act. I can't believe I'm watching America as I know it collapse in front of my eyes.
I have spent more than 13 years of my career at @iza.org Bonn. I was able to climb the in-house career ladder quite a bit: I started as an intern, was then hired as a student helper, and offered an IZA PhD scholarship. Eventually, I became a Senior Research Associate and Team Leader. (1/4)
I had the opportunity to visit the @cpbnl.bsky.social and present my research on `How Has the Increase in Work from Home Impacted the Parental Division of Labor?´
Thanks for the invitation and great discussions!
I can also very much recommend the 🍻 in NL 😀
Devastating news that @iza.org is effectively closing down 😔
It was (or at the moment, is) a wonderful institute and the network was tremendously helpful in dissaminating work in labour economics.
IZA will sorely be missed 😢
So sorry for all IZA employees!
Economists love using linear regression to estimate treatment effects — it turns out that there are perils to this method, but also amazing perks
Come with me in this 🧵 if you want to learn about our now-published paper "Contamination Bias in Linear Regressions!"
1/ (Twitter rerun!)
Thanks, Ingo! Very helpful 👍
I created an IZA @iza.org Network Fellows/Affiliates starterpack, starting from those I am following, and who are following me. I surely missed a lot. Please reply below this tweet and tag yourself and your fellow Fellows! #econsky #laboreconomics #econ
go.bsky.app/5NP4VCb
An image showing what I describe
Fun fact: If someone quotes a post of yours in a way that is unwelcome (as is commonplace on Twitter/X) there is a tool to combat the unwanted attention. Simply click the three dot menu on the quote post & click "Detach quote". This removes your post from their quote post. Useful to know, do share!
I’ve made a Women in Econ starter pack (s/o @vinisingh.bsky.social for sparking the idea!). Share, follow, and comment below if you’d like to be added! go.bsky.app/LqBPkQZ
Had a nice day at VSE Prague 😊 Great discussions, comments, and food! Thanks for the invitation, Klara Kaliskova 🙌
Had a nice day at VSE Prague 😊 Great discussions, comments, and food! Thanks for the invitation, Klara Kaliskova 🙌
Here is what I posted last week on Twitter, repeated here:
A thread about what is wrong with the influence of Elon Musk and other tech billionaires. Another thread about content moderation will follow later this week.
On my way from Oslo to Bergen for the EALE 🚄
Happy to meet many old and new faces! If you would like to chat, have a beer, or go for a run 🏃, please reach out 👋
I am very excited to share that I will join University Hamburg in autumn as postdoctoral researcher (collaborating with Iris Kesternich) :tada:
Thank you to everyone who supported me throughout the job market!
"Even if low-educated women have highest period fertility levels in almost all covered European countries, the educational gradient is not always negative. In 1/3 of countries, fertility in 2010 is U-shaped, with middle-educated having lowest fertility" t.co/mBKslAJ50E
Is better writing rewarded in peer review?
Our newly published suggests the answer is “Yes”!
doi.org/10.1016/j.je...
#EconSky 🧵 (1/7)
🧪 Scientist?
🟦 New to BlueSky?
👀 Wanna find posts by other people in your area and use the right hashtags in your own posts?
📃 Here’s a list of around 160 science-related feeds and their hashtags.
#AcademicSky #PhDSky
Excited to have @cacilialipowski.bsky.social visiting IZA this week.
Check out her excellent Job Market Paper 👇
My co-author, Tim, took the opportunity to join bsky 👋
Find him here: @mensingertim.bsky.social
Here is a link to the paper (with many more details): christian-zimpelmann.eu/files/zimpel...
Comments and feedback are very welcome.
Good luck to anybody else on the job market!
Results of the structural model rely on those open-source software packages:
- Solution of dynamic models: github.com/OpenSourceEc...
- German tax and transfer system: gettsim.readthedocs.io
- Numerical optimization: estimagic.readthedocs.io
- Optimization algorithm: github.com/OpenSourceEc...
Policy takeaways:
1. As attitudes are important, effectiveness of policies limited in the short run.
2. They need to be considered when extrapolating average policy effects to different contexts.
3. Addressing heterogeneous subpopulations requires targeted policies.
Results:
1. Labor supply elasticities higher for traditional mothers
2. Policy facilitating access to full-time childcare has stronger effect on egalitarian mothers
Implication: if distribution of attitudes changes over time, elasticities and policy effects change, as well
Second step: Study interaction of gender attitudes with hypothetical policies.
Estimate a structural model of female labor supply.
Elements: Discrete labor supply choice, human capital accumulation, life cycle perspective
Novel feature: heterogeneity by gender role attitudes
Exploit eligibility-cutoff by birth date of the child
Results:
👉 Traditional mothers reduce labor supply (46% stronger than baseline)
👉 Egalitarian mothers do not reduce labor supply
Now: Look at interaction with economic incentives using actual and hypothetical policy changes
First step: Study introduction of a cash-for-care policy (`Betreuungsgeld`). Parents receive subsidy if they do not take up public childcare when child is one or two years old.
Measuring individual-level attitudes allows further analyses:
1. Study relation to background variables (explain only 13% of variation in attitudes) and control for them
2. Attitudes of the father predict maternal labor supply (in addition to mothers' attitudes) 👉 joint household decision
Event studies around birth of the first child:
👉 Pre birth: same labor supply for egalitarian and traditional mothers
👉 Post birth: egalitarians return much faster to the labor market
-> 15% more likely to work, work 4 hours more, persistent effects