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20212026
most citedDynamic Biases of Static Panel Data Estimators

3 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

econ.EM2026

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…

econ.EM2024★ 3 cited

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…

econ.EM2022

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…

econ.EM2022★ 2 cited

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…

stat.ML2022

Bagged Polynomial Regression and Neural Networks

Sylvia Klosin, Jaume Vives-i-Bastida

Climate and environmental applications increasingly rely on high-dimensional prediction from remote sensing and other scientific data. Neural networks (NN) can deliver strong accur…

econ.EM2021★ 2 cited

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…