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Christopher Bockel-Rickermann

KU Leuven (from arXiv:2309.03730, 2023) · ORCID · OpenAlex

4 papers in scope · 2 published · 2 on the econ.EM arXiv · 5 citations · h-index 2 (over the papers listed here)

Papers

(2 of 4)

Uplift modeling with continuous treatments: A predict-then-optimize approach
published2025 · European Journal of Operational Research · 2 citations · first circulated 2024
with Simon De Vos, Stefan Lessmann, Wouter Verbeke
European Journal of Operational Research
Can causal machine learning reveal individual bid responses of bank customers? — A study on mortgage loan applications in Belgium
published2024 · Decision Support Systems · 3 citations
with Sam Verboven, Tim Verdonck, Wouter Verbeke
Decision Support Systems
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions
working paper2023 · arXiv
with Sam Verboven, Tim Verdonck, Wouter Verbeke
Paper profile arXiv arXiv:2309.03730
Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100
working paper2022 · arXiv
Paper profile arXiv arXiv:2205.15853

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.