Ivan Strahof (@ivanstrahof) header
Ivan Strahof (@ivanstrahof) profile picture

Ph.D. student @ApEcMN: development, household, crime, dairy markets, and all else tbd. I was told #EconTwitter was a thing, but I needed to find out for myself.

St. Paul, MN
Joined March 2021
Photo by Ivan Strahof (@ivanstrahof)Photo by Ivan Strahof (@ivanstrahof)Photo by Ivan Strahof (@ivanstrahof)
Reading the new NBER working papers for this week. There were 4 papers that caught my eye: 1st on COVID unemployment benefits, 2nd on the effect of having immigrant students in schools, 3rd on racial human capital disparities, & 4th on Chinese New Year and elderly suicide.
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On identification, they allow for differential pre-treatment labor market trends. This violates parallel trends, but they claim that the actual identifying assumption is that w/o treatment outcomes would have evolved similarly in labor markets with different increases in benefits
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This is something I need longer to digest. In any case, this result seems particular to this scenario where jobs were already receiving a high # of applicants. Were there articles other people found interesting? Link: nber.org/papers
If you’re a student and want a DD seminar on @agoodmanbacon and then @pedrohcgs and callaway, shoot me an email. First come first served up to some N tbd. I’ll then do a Google form. It’ll include directions on R code as well as easy simulations. I’m also good at intuition.
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Every Monday I get an email with the latest NBER working papers. And in my ideal world I sit down with a cup of tea and read through these papers like I would the morning newspaper. Obviously, that never actually happens. 1/n
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Franzoni & Stephan ask what risk-taking in science looks like, focusing on what can be found, if the method will work, the chance the outcome will be found, possible secondary findings, & its significance. As they argue, continuing a line of research doesn't imply risk avoidance
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Here are where new working papers are posted and where one can sign up for the email: nber.org/papers?page=1&perPa…
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Migrants traveling through cartel territory in Mexico pay to secure a wristband that guarantees their safety. It removes one type of risk of migration, at a cost. Who will provide cheaper wristbands and how many will one need? Hope it's not a trend theguardian.com/us-news/2021…
Tip #5: Don't run two-way fixed effects in a staggered DiD. Your effects are probably not linearly additive, the variance-weighted average effect might not be what you want, and calculating weights this way is a real pain. #IvansMetricsTips
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Luckily calculating weights is taken care of by stata package bacondecomp. Unfortunately, it seems to require much more memory than stata 12 on my laptop can handle.
Tip #6: The standard DiD estimator is equivalent to the two-way fixed effects estimator. The general staggered (multi-period) DiD estimator is equivalent to a weighted two-way fixed effects regression estimator. web.mit.edu/insong/www/pdf/F… #IvansMetricsTips
I'm startled that "only 26% [Ph.D. students] find their work to be useful always or most of the time, compared to 70% of economics faculty and 63% of the working age population." Why is there such a gap bet students and faculty and how can we bridge it? teapaw.org/AEAjournals/status/137…
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Perhaps there is an overall selection issue. Only those who find their work "useful" continue to become faculty. The fact that there is such a gap is still extremely concerning
Tip #4: If you do staggered DiD and use two-way fixed effects, your estimator is a weighted avg. You can recover the weights, and estimate a variance-weighted average treatment effect on the treated: Goodman-Bacon (goodman-bacon.com/pdfs/ddtim…) #IvansMetricsTips
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Note to self: Any staggered DiD will give you coefficients that are weighted averages, not just if you use TWFE. However, keeping TWFE doesn't get you closer to a solution.