On the job market 2023/24. I use quasi-experimental and structural methods to study welfare and inequality in the climate transition. Love nature & the outdoors
I am officially off the market.
In 2024-2025, I will be a Hoover Fellow at Stanford (
@HooverInst
).
From 2025, I will join Carlos III in Madrid as an AP (
@EconomicsUc3m
).
I am so grateful for all the help I have received along the way!!
My take: likes Bulgakow, Faulkner, García Márquez, Mahler 5 and Berlin techno, asks the cab driver how their day is going, daily meditation practise but wild on the dance floor, no pineapple on pizza, Stata + Python > R, no customized cover letter unless there's a credible signal
I am already an instant fan. "Pay attention to the world around you." (1) "Focus on ideas and mechanisms." (2) and "Armed with ideas, look for a suitable setting." Not the reverse.. (3).
@IvanWerning
How to get started and come up with ideas for topics to work on? Here are my slides. Main message: pay attention to the world around you; look for seemingly important things that haven't been studied by economists; carefully read work from other fields.
@annastansbury
@jasonfurman
Careful! We don't know the counterfactual. Germany had unreasonably high unempl. rates before (with a peak in 2005). If you take 2007 as the benchmark, it looks like Germany managed well even if it didn't. Pre-crisis structural reforms likely more important than crisis management
"The more the data, the surer we fool ourselves." - thought-provoking, witty, and well written abstract. I've yet to read the full paper but it sounds great!
I enjoyed looking at Xiao-Li Meng's extraordinary paper on big data and bias,
Amazing journey by an imaginative scholar, who writes as well as he talks.
Earning's penalty for women after child birth highest in Germany (and Austria) and lower in US, UK, Denmark and Sweden. Highly correlated with gender norms, see thread 👇
Hello! Tamara Broderick, Ryan Giordano and I have a new working paper out!! It's called "An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?"
Making your friends avoid taxes? Important topic and very interesting strategy to isolate the causal effect using discontinues changes in individual shareholding of firms...
The scale of human management for the Amazon rainforest is larger than typically thought... ponder the cultural history of this vital region of the Earth.
#ClimateHeritage
@DauthEcon
Thank you, Wolfgang. The amazing data + hospitality of you and your team
@iab_news
were so important for the job market paper (and ultimately, the outcome of the market). Thanks so much!
Economic historians often say that we should answer historical questions which have contemporary import. I disagree. This restricts us in profoundly counterproductive ways. Answering the historical question of the moment keeps us from informing the historical narrative. 1/N
@shmifi
@LpunktLpunkt
New in nature: Witchcraft accusations in rural China through the the lens of social networks No causal identification, but it'd be amazing to have the data set
@joachim_voth
Should work well in QGIS. Might take 30-60 minutes per map to do it beautifully, so it depends on the number of maps. If someone has good python code to automate, I'd be curious to see it!