Counterfactual reconciliation : incorporating aggregation constraints for more accurate causal effect estimates
Doruk Cengiz, Hasan Tekgüç
| Year of publication: |
2024
|
|---|---|
| Authors: | Cengiz, Doruk ; Tekgüç, Hasan |
| Subject: | Causal machine learning methods | Counterfactual estimation | Difference-in-differences | Forecast reconciliation | Non-linear constraints | Kausalanalyse | Causality analysis | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Schätzung | Estimation | Schätztheorie | Estimation theory | Aggregation |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2022.08.011 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014547183