Zobrazeno 1 - 10
of 3 388
pro vyhledávání: '"Athey A"'
Autor:
Carranza, Aldo Gael, Athey, Susan
We consider the problem of using observational bandit feedback data from multiple heterogeneous data sources to learn a personalized decision policy that robustly generalizes across diverse target settings. To achieve this, we propose a minimax regre
Externí odkaz:
http://arxiv.org/abs/2410.08537
One thread of empirical work in social science focuses on decomposing group differences in outcomes into unexplained components and components explained by observable factors. In this paper, we study gender wage decompositions, which require estimati
Externí odkaz:
http://arxiv.org/abs/2409.09894
Many empirical studies of labor market questions rely on estimating relatively simple predictive models using small, carefully constructed longitudinal survey datasets based on hand-engineered features. Large Language Models (LLMs), trained on massiv
Externí odkaz:
http://arxiv.org/abs/2406.17972
We formulate the problem of constructing multiple simultaneously valid confidence intervals (CIs) as estimating a high probability upper bound on the maximum error for a class/set of estimate-estimand-error tuples, and refer to this as the error esti
Externí odkaz:
http://arxiv.org/abs/2405.04636
Autor:
Athey, Susan, Palikot, Emil
This study investigates the labor market value of credentials obtained from Massive Open Online Courses (MOOCs) and shared on business networking platforms. We conducted a randomized experiment involving more than 800,000 learners, primarily from dev
Externí odkaz:
http://arxiv.org/abs/2405.00247
As online educational technology products have become increasingly prevalent, rich evidence indicates that learners often find it challenging to establish regular learning habits and complete their programs. Concurrently, online products geared towar
Externí odkaz:
http://arxiv.org/abs/2310.10850
In many settings, interventions may be more effective for some individuals than others, so that targeting interventions may be beneficial. We analyze the value of targeting in the context of a large-scale field experiment with over 53,000 college stu
Externí odkaz:
http://arxiv.org/abs/2310.08672
Using generalized random forests and rich Swedish administrative data, we show that the earnings effects of job displacement due to establishment closures are extremely heterogeneous across and within (observable) worker types, establishments, and ma
Externí odkaz:
http://arxiv.org/abs/2307.06684
In many applications, e.g. in healthcare and e-commerce, the goal of a contextual bandit may be to learn an optimal treatment assignment policy at the end of the experiment. That is, to minimize simple regret. However, this objective remains understu
Externí odkaz:
http://arxiv.org/abs/2307.02108
Qini curves have emerged as an attractive and popular approach for evaluating the benefit of data-driven targeting rules for treatment allocation. We propose a generalization of the Qini curve to multiple costly treatment arms, that quantifies the va
Externí odkaz:
http://arxiv.org/abs/2306.11979