arXiv (All)
open access
Propensity score with factor loadings: evaluating the effect of the Paris Agreement on the returns of European stocks
Factor models for longitudinal data, where policy adoption is unconfounded with respect to a low-dimensional set of latent factor loadings, have become increasingly popular for causal inference. Most existing approaches, however, rely on a causal finite-sample approach or computationally intensive m
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Causal Inference under Dynamic Selection: Time-Varying Covariates and Latent Heterogeneity#1123556
- On the treatment of the repeated observations in panel data: efficiency of Mixed Logit parameter estimates#1250810
- Pseudo-Panel Event Studies: Econometric Foundations for Credible Applications#1341639
- Understanding and Comparing Factor-Based Forecasts#499904
- Fundamental Properties of Linear Factor Models#997425
Record · ID 1354795
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive