Sven Resnjanskij (@svenres) 's Twitter Profile
Sven Resnjanskij

@svenres

PostDoc, Research Network Affiliate at CESifo Munich

ID: 514246891

linkhttp://www.svenRes.com calendar_today04-03-2012 11:39:58

50 Tweet

109 Followers

177 Following

Ökonomenstimme (@oekonomenstimme) 's Twitter Profile Photo

Welchen Einfluss hat #Kultur – und hier im Speziellen: #Individualismus – auf kognitive #Fähigkeiten, #Lohn und andere Arbeitsmarktindikatoren? Eine neue Studie mit Daten aus 22 Ländern liefert erstmals Antworten: oekonomenstimme.org/artikel/2021/1…

Welchen Einfluss hat #Kultur – und hier im Speziellen: #Individualismus – auf kognitive #Fähigkeiten, #Lohn und andere Arbeitsmarktindikatoren? Eine neue Studie mit Daten aus 22 Ländern liefert erstmals Antworten: oekonomenstimme.org/artikel/2021/1…
Arthur Lewbel (@lewbel) 's Twitter Profile Photo

Jeffrey Wooldridge How could we know the correct transform in which parallel trends hold? I think PT is a *far* stronger assumption than most users recognize. This is relevant: jonathandroth.github.io/assets/files/2…

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

Arthur Lewbel It is a very strong assumption. And it's especially strong when the linear form is applied to, say, a binary response. So those who say "just use OLS" seem not to realize that a linear model can be very poor in these situations. So I want to try it a few different ways.

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

Really interesting DiD session at ASSA! I now realize I'm caught up through about June 2021. There wasn't time for me to make a point about a theme running throughout the session, and that is picking on so called two-way fixed effects. Bruno Ferman Clément de Chaisemartin Jonathan Roth

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

As another analogy, we now know from Tymon Słoczyński's nice REStat paper on regression adjustment that OLS of Y on 1, D, X can produce badly biased estimators of ATE and ATT. But full RA, Y on 1, D, X, D*(X - Xbar) can work very well (with overlap).

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

We don't conclude that something is "wrong" with the OLS estimator. Rather, something is wrong with the functional form of the underlying model: we need to allow the TEs to vary with X. OLS can be lousy when applied to a bad model and good when applied to a good model.

Arthur Lewbel (@lewbel) 's Twitter Profile Photo

Hot take: 2022 will be the year of backlash against Diff-in-Diff models. Users will finally realize parallel trends is often an implausible, structural assumption. E.g., What stops control group agents from modifying behavior based on observing the treated group? #EconTwitter

Sven Resnjanskij (@svenres) 's Twitter Profile Photo

Jeffrey Wooldridge Arthur Lewbel Am I wrong, assuming that in the binary-response DiD case, it would be an option to still run a linear DiD spec., when it'S feasable to express all RHS variables in terms of binary variables as well? My intuition is, that (except SE) OLS would give similar estimates.

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

Sven Resnjanskij Arthur Lewbel Sven: I've been doing a lot of simulations in the binary case, in the context of my presentation here: stata.com/symposiums/eco… If the trend in the control state is not very strong, logit, probit, LPM give similar answers.

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

Sven Resnjanskij Arthur Lewbel But with moderate trends they can differ, with logit or probit being better across different DGPs. With strong trends (not violation of PT, BTW), the LPM can even give the wrong sigh. Logit, probit never do -- so far.

Johannes Haushofer (@jhaushofer) 's Twitter Profile Photo

I've been in touch with several German universities which have expressed interest in admitting students displaced from Ukraine. If you're a displaced student, you can register your interest via this form, and I will share it with the universities: forms.gle/S2f4QURoVJWaM1…

David McKenzie (@dmckenzie001) 's Twitter Profile Photo

My 2009 paper with @MiriamBruhn1 showed advantages of matched paired randomization. In today's post, why I am now more cautious about using this approach and like matched quadruplets instead. Thanks to Clément de Chaisemartin & Yuehao Bai for discussion. blogs.worldbank.org/impactevaluati…

Susan Athey (@susan_athey) 's Twitter Profile Photo

After 5 yrs of iterating on math, simulations, writing, we updated our working paper on clustering. Lots of time working on single formulation that captures intermediate cases, simple after-the-fact, math matches intuition. arxiv.org/abs/1710.02926

Ludger Woessmann (@woessmann) 's Twitter Profile Photo

🚨Now "just accepted" JPE: Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects w/ Sven Resnjanskij Jens Ruhose Simon Wiederhold Katharina Wedel 👉Strong 3-year effects of mentoring RCT journals.uchicago.edu/doi/10.1086/72… 🧵 1/9

🚨Now "just accepted" <a href="/JPolEcon/">JPE</a>:

Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects
w/ <a href="/SvenRes/">Sven Resnjanskij</a> <a href="/JRuhose/">Jens Ruhose</a> <a href="/SimonWiederhold/">Simon Wiederhold</a> <a href="/katharina_wedel/">Katharina Wedel</a>

👉Strong 3-year effects of mentoring RCT

journals.uchicago.edu/doi/10.1086/72…

🧵 1/9
Ludger Woessmann (@woessmann) 's Twitter Profile Photo

🚀Mentoring durch ehrenamtliche Studierende verdoppelt ‼️ die Chance von benachteiligten Jugendlichen, eine Berufsausbildung zu beginnen👍 Unsere Evaluierung der Effekte von ROCK YOUR LIFE! Ergebnisse jetzt im ifo Institut Schnelldienst: 👉ifo.de/publikationen/… 🧵 1/6