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of 4
pro vyhledávání: '"Bearth, Nora"'
Active labour market policies are widely used by the Swiss government, enrolling more than half of unemployed individuals. This paper analyses whether the Swiss programmes increase future employment and earnings of the unemployed by using causal mach
Externí odkaz:
http://arxiv.org/abs/2410.23322
Autor:
Bearth, Nora
This paper investigates the mental health penalty for women after childbirth in Switzerland. Leveraging insurance data, we employ a staggered difference-in-difference research design. The findings reveal a substantial mental health penalty for women
Externí odkaz:
http://arxiv.org/abs/2410.20861
Autor:
Ballinari, Daniele, Bearth, Nora
Machine learning techniques are widely used for estimating causal effects. Double/debiased machine learning (DML) (Chernozhukov et al., 2018) uses a double-robust score function that relies on the prediction of nuisance functions, such as the propens
Externí odkaz:
http://arxiv.org/abs/2409.04874
Autor:
Bearth, Nora, Lechner, Michael
It is valuable for any decision maker to know the impact of decisions (treatments) on average and for subgroups. The causal machine learning literature has recently provided tools for estimating group average treatment effects (GATE) to understand tr
Externí odkaz:
http://arxiv.org/abs/2401.08290