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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…