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Jakob Schwerter

@jakobschwerter.bsky.social

Educational Psychology, Economics of Education, Social Data Sciene Star Wars & BvB Fan

589 Followers  |  640 Following  |  36 Posts  |  Joined: 16.10.2023  |  2.1489

Latest posts by jakobschwerter.bsky.social on Bluesky

Desto schwΓ€cher ist Bayern gegen den BvB?

13.04.2025 17:32 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Even 2

30.03.2025 17:24 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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New research video: Discover the importance of students’ social resource factors for academic achievement and well-being in elementary school by @jakobschwerter.bsky.social on YouTube! #Education #Learning #EducationResearch #ElementarySchool www.youtube.com/watch?v=OLEE...

13.03.2025 16:14 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

Bundesliga Topspiel bis jetzt schon eher langweilig, oder? #bmgbvb

07.12.2024 18:37 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Reyna?

07.12.2024 18:17 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

This is really handy. #stats #CausalInference

30.11.2024 15:42 β€” πŸ‘ 84    πŸ” 24    πŸ’¬ 2    πŸ“Œ 1

Ich finde es viel spannender und mich interessieren die Ergebnisse der anderen viel mehr. Hab vorher aber auch nur BvB-Spiele geschaut und ist jetzt immer noch so.

29.11.2024 06:04 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

πŸ“Œ

28.11.2024 05:52 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

πŸ“Œ

25.11.2024 20:31 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Preview
Graphical Causal Models This chapter discusses the use of directed acyclic graphs (DAGs) for causal inference in the observational social sciences. It focuses on DAGs’ main uses, discusses central principles, and gives...

I love this chapter by Felix Elwert, who writes for a sociology audience and is a very clear writer: doi.org/10.1007/978-...

25.11.2024 00:08 β€” πŸ‘ 25    πŸ” 9    πŸ’¬ 0    πŸ“Œ 0

πŸ“Œ

24.11.2024 21:12 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Sahin has not lost a game at home. Would be a perfect story if BVB would win against Bayern at home as well. But most of the times when I thought we would have a chance, we lost. So 🀷

24.11.2024 17:27 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
To collect income taxes, almost all countries require employers to withhold monthly tax prepayments which are then fully credited against the final income tax liabilities of their employees. Despite being a fundamental component of income taxation systems worldwide, the impact of these withholding taxes on labor supply is poorly understood. We investigate their importance in the context of married couples in Germany where the withholding tax liability can be redistributed between spouses. We exploit a reform that reduced the withholding tax for some married women more than for others, while inducing no differences in income taxes. Using administrative data for the full population of German taxpayers, we estimate an elasticity of labor income with respect to the withholding tax eight years after the reform of 0.14. Additional evidence from a self-conducted survey suggests imperfect understanding of the tax system and limited pooling of resources within the household as the main mechanisms. As the majority of couples shift parts of the withholding tax liability from the husband to the wife, our results suggest that the increased withholding tax liability of married women contributes to their low labor supply. This highlights the need for governments to be aware of the distortion of labor supply incentives when the design of withholding taxes does not match actual income tax incentives.

To collect income taxes, almost all countries require employers to withhold monthly tax prepayments which are then fully credited against the final income tax liabilities of their employees. Despite being a fundamental component of income taxation systems worldwide, the impact of these withholding taxes on labor supply is poorly understood. We investigate their importance in the context of married couples in Germany where the withholding tax liability can be redistributed between spouses. We exploit a reform that reduced the withholding tax for some married women more than for others, while inducing no differences in income taxes. Using administrative data for the full population of German taxpayers, we estimate an elasticity of labor income with respect to the withholding tax eight years after the reform of 0.14. Additional evidence from a self-conducted survey suggests imperfect understanding of the tax system and limited pooling of resources within the household as the main mechanisms. As the majority of couples shift parts of the withholding tax liability from the husband to the wife, our results suggest that the increased withholding tax liability of married women contributes to their low labor supply. This highlights the need for governments to be aware of the distortion of labor supply incentives when the design of withholding taxes does not match actual income tax incentives.

Hello #EconSky!

πŸ“’Excited to share my #JMP πŸ“’

It provides a missing piece to understand how people react to income taxation.

Tldr: By changing tax pre-payments governments can - with almost no costs - increase perceived work incentives of secondary earners and reduce the gender gap.

Thread belowπŸ‘‡πŸ§΅

23.11.2024 15:54 β€” πŸ‘ 68    πŸ” 27    πŸ’¬ 2    πŸ“Œ 3

So similar in many ways, but so different in others.

23.11.2024 11:35 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

I am collecting data in university courses over 2-3 cohorts. So good to see that learning behaviour is mostly similar across cohorts with a similar effect on exam performance (stay tuned for specific results). But what a pain to explain differences in taking the first or second exam, etc.

23.11.2024 11:34 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Is this only happening in econometrics or does something similar exist in #education #psychology ? I would be happy to try out something like this.

21.11.2024 06:07 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Apart from daily participation here, is there a website to practice these DAGs? Like guessthecorrelation.com?

19.11.2024 07:27 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

πŸ˜‚ waren leider sehr heiße Hot-Takes.

14.11.2024 16:12 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

My first postdoc @hkjach.bsky.social's main work has been finally published!! We assessed lots of curiosity personality traits and information-seeking task behaviors and examined the relationship. See what we found...

www.pnas.org/doi/10.1073/...

12.11.2024 07:13 β€” πŸ‘ 11    πŸ” 6    πŸ’¬ 0    πŸ“Œ 1

What is the Name of the R-Package you mentioned?

12.11.2024 06:14 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
EFG - 13 - EARLI

Exciting news! The @EARLI has funded our Emerging Field Group on β€œAutomated Assessment of Teaching Effectiveness Using Multimodal Data.” We’re now entering the work phase and look forward to sharing insights. Check out our group: www.earli.org/efg-13 #EdResearch #AIinEducation

10.11.2024 08:04 β€” πŸ‘ 6    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Hi Learning Scholars! Which publication is currently everyone’s fav to link log-data to SRL behavior? Or that shows which log-data help to measure SRL behavior? Or an overview of which variables generated from clicks reflect SRL behavior? #SRL #Clicks #LearningScholars

21.10.2024 06:58 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Great idea! Thanks!

19.10.2024 12:19 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

I don't think anyone has started a Learning Scholars starter pack, so here we go! Let me know if you'd like to be added, removed, etc. Please share!
go.bsky.app/CBPm1dV

18.10.2024 16:56 β€” πŸ‘ 56    πŸ” 25    πŸ’¬ 10    πŸ“Œ 3
Tabellentipp von Eva, Karo, Max und den HΓΆrer*innen. Gibt es im letzten Kapitel der verlinkten Folge auch zum HΓΆren.

Tabellentipp von Eva, Karo, Max und den HΓΆrer*innen. Gibt es im letzten Kapitel der verlinkten Folge auch zum HΓΆren.

Verteidigt Leverkusen seinen Titel? StΓΌrzt Stuttgart ab? Rafft sich der FC Bayern? Beginnt beim BVB eine Γ„ra? Wir blicken mit @evabohle.bsky.social und @kalorineki.bsky.social auf die Saison voraus – inklusive Tabellentipp: rasenfunk.de/bundesliga-m/468

#bundesliga

19.08.2024 17:01 β€” πŸ‘ 49    πŸ” 14    πŸ’¬ 5    πŸ“Œ 8

Und in der Session 6-03 β€žSelbsttests, Lernverhalten und Leistung in der Hochschulbildung. Einblick aus digitalen Verhaltensspuren und Selbstberichten.β€œ prΓ€sentiere ich aktuelle Ergebnisse zu Selbsttest im Hochschulstudium

17.03.2024 13:14 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Interesse an #MachineLearning? In der Session 3-11 gibt es einen Einblick in die Verwendung von baumbasierten Methoden fΓΌr die Imputation von fehlenden Werten und der Datenanalyse, sowie die Auswertung von Open-Ended.

17.03.2024 13:13 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Auf dem Weg zur #GEBF2024 ✌️

17.03.2024 13:00 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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It's out! πŸ”¬πŸ“πŸ—οΈπŸ¦πŸ”­πŸ‘©β€βš•οΈ 6+ years of partnership building, STEM Career media production, design & full experiments: "The [+] effect of an intervention personalizing mathematics to students’ career and popular culture interests on mathematics interest and learning." psycnet.apa.org/record/2024-...

12.02.2024 19:45 β€” πŸ‘ 7    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0

Vor allem konnte man mit Can im 3er Aufbau seine SchwΓ€chen kaschieren. Maatsen funktioniert da schon echt gut.

10.02.2024 07:11 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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