3 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
Simple Standard Errors for Complicated (Quasi-)Experimental Designs
Sylvia Klosin, Jonathan Roth
We develop standard errors for estimates of causal effects in settings where the distribution of treatment exposures is known but potentially exhibits complicated dependence patter…
Dynamic Biases of Static Panel Data Estimators
Sylvia Klosin
This paper identifies an important bias - termed dynamic bias - in fixed effects panel estimators that arises when dynamic feedback is ignored in the estimating equation. Dynamic f…
The long-term effect of childhood exposure to technology using surrogates
Sylvia Klosin, Nicolaj Søndergaard Mühlbach
We study how childhood exposure to technology at ages 5-15 via the occupation of the parents affects the ability to climb the social ladder in terms of income at ages 45-49 using t…
Estimating Continuous Treatment Effects in Panel Data using Machine Learning with a Climate Application
Sylvia Klosin, Max Vilgalys
Economists often estimate continuous treatment effects in panel data using linear two-way fixed effects models (TWFE). When the treatment-outcome relationship is nonlinear, TWFE is…
Automatic Double Machine Learning for Continuous Treatment Effects
Sylvia Klosin
In this paper, we introduce and prove asymptotic normality for a new nonparametric estimator of continuous treatment effects. Specifically, we estimate the average dose-response fu…