Search Results - subject:"CATE" - EconBiz

Active labor market policies for the long-term unemployed : new evidence from causal machine learning

Goller, Daniel; Lechner, Michael; Pongratz, Tamara; … - In: Labour economics : an international journal 94 (2025), pp. 1-17

Persistent link: https://www.econbiz.de/10015405296

Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence

Semenova, Vira; Goldman, Matt; Chernozhukov, Victor; … - In: Quantitative economics : QE ; journal of the … 14 (2023) 2, pp. 471-510

This paper provides estimation and inference methods for conditional average treatment effects (CATE) characterized by … our leading example, we model CATE by interacting the base treatment variable with explanatory variables. The first step … step, provided it learns the residuals well enough. Second, we construct an orthogonal (or residual) learner of CATE …

Persistent link: https://www.econbiz.de/10014308573

Doing more with less : overcoming ineffective long-term targeting using short-term signals

Huang, Ta-Wei; Ascarza, Eva - In: Marketing science 43 (2024) 4, pp. 863-884

Persistent link: https://www.econbiz.de/10014636347

Machine learning for treatment effect heterogeneity : recovering partial effects

Guttman, Elad; Leventer, Dor; Saporta-Eksten, Itay; … - 2023

Persistent link: https://www.econbiz.de/10014339051

Machine learning for treatment effect heterogeneity : recovering partial effects

Guttman, Elad; Leventer, Dor; Saporta-Eksten, Itay; … - 2023

Persistent link: https://www.econbiz.de/10014342246

Development of optimised causal AI and its application in retail banking

Molabanti, Sai Chaitanya; Kanchi, Lakshmi Kiran; … - In: Journal of digital banking 9 (2024) 2, pp. 110-117

Persistent link: https://www.econbiz.de/10015083667

Inference on heterogeneous treatment effects in high-dimensional dynamic panels under weak dependence

Semenova, Vira; Goldman, Matt; Chernozhukov, Victor; … - In: Quantitative Economics 14 (2023) 2, pp. 471-510

This paper provides estimation and inference methods for conditional average treatment effects (CATE) characterized by … our leading example, we model CATE by interacting the base treatment variable with explanatory variables. The first step … step, provided it learns the residuals well enough. Second, we construct an orthogonal (or residual) learner of CATE …

Persistent link: https://www.econbiz.de/10014536958

CATE meets ML : conditional average treatment effect and machine learning

Jacob, Daniel - In: Digital finance : smart data analytics, investment … 3 (2021) 2, pp. 99-148

Persistent link: https://www.econbiz.de/10012615280

Renewable energy certificate trading through power exchanges in India

Girish, Godekere Panchakshara Murthy; Sashikala, P.; … - In: International Journal of Energy Economics and Policy : IJEEP 5 (2015) 3, pp. 805-808

Persistent link: https://www.econbiz.de/10011456126

Active labour market policies for the long-term unemployed : new evidence from causal machine learning

Goller, Daniel; Harrer, Tamara; Lechner, Michael; … - 2021

Persistent link: https://www.econbiz.de/10012610544

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