:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cuesta, Maite Blázquez, Navarro, Marco A. Pérez, Sánchez-Mangas, Rocío
Format:	Preprint
Publié:	2024
Sujets:	Econometrics
Accès en ligne:	https://arxiv.org/abs/2407.04437
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Control VAR: a counterfactual based approach to inference in macroeconomics
par: Pala, Raimondo
Publié: (2025)

Causal mechanism and mediation analysis for macroeconomics dynamics: a bridge of Granger and Sims causality
par: Dufour, Jean-Marie, et autres
Publié: (2025)

Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!
par: Gruber, Luis, et autres
Publié: (2022)

Practically significant differences between conditional distribution functions
par: Dette, Holger, et autres
Publié: (2025)

Estimation for conditional moment models based on martingale difference divergence
par: Song, Kunyang, et autres
Publié: (2024)

A Gaussian smooth transition vector autoregressive model: An application to the macroeconomic effects of severe weather shocks
par: Lanne, Markku, et autres
Publié: (2024)

Julia as a universal platform for statistical software development
par: Roodman, David
Publié: (2024)

Compositional difference-in-differences
par: Boussim, Onil
Publié: (2025)

Doubly robust local projections difference-in-differences
par: Uhr, Daniel de Abreu Pereira, et autres
Publié: (2026)

Nonparametric estimation of conditional densities by generalized random forests
par: Zincenko, Federico
Publié: (2023)

Continuous difference-in-differences with double/debiased machine learning
par: Zhang, Lucas Z.
Publié: (2024)

rdhte: Conditional Average Treatment Effects in RD Designs
par: Calonico, Sebastian, et autres
Publié: (2025)

The Regression Discontinuity Design in Medical Science
par: Cattaneo, Matias D., et autres
Publié: (2025)

The modified conditional sum-of-squares estimator for fractionally integrated models
par: Kılınç, Mustafa R., et autres
Publié: (2024)

Identification and inference of outcome conditioned partial effects of general interventions
par: Zhang, Zhengyu, et autres
Publié: (2024)

A difference-in-differences estimator by covariate balancing propensity score
par: Li, Junjie, et autres
Publié: (2025)

Orthogonality conditions for convex regression
par: Dai, Sheng, et autres
Publié: (2025)

$\texttt{rdid}$ and $\texttt{rdidstag}$: Stata commands for robust difference-in-differences
par: Ban, Kyunghoon, et autres
Publié: (2024)

Identification- and many moment-robust inference via invariant moment conditions
par: Boot, Tom, et autres
Publié: (2023)

US labor market conditions and migration: a reassessment of Bahar (2025)
par: Rodriguez, Francisco, et autres
Publié: (2025)

Difference-in-differences with a mediator
par: Deng, Yuhao, et autres
Publié: (2026)

Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance
par: Bugni, Federico A., et autres
Publié: (2024)

Optimal Treatment Allocation under Constraints
par: Johansen, Torben S. D.
Publié: (2024)

Testing for Nonlinear Cointegration under Heteroskedasticity
par: Hanck, Christoph, et autres
Publié: (2021)

Inference under First-Order Degeneracy
par: Bei, Xinyue, et autres
Publié: (2026)

Algorithmic subsampling under multiway clustering
par: Chiang, Harold D., et autres
Publié: (2021)

Enterprise value, economic and policy uncertainties: the case of US air carriers
par: Adrangi, Bahram, et autres
Publié: (2025)

Generalized Covariance Estimator under Misspecification and Constraints
par: Neyazi, Aryan Manafi
Publié: (2025)

Inference under random limit bootstrap measures
par: Cavaliere, Giuseppe, et autres
Publié: (2019)

Dynamic Decision-Making under Model Misspecification
par: Dai, Xinyu
Publié: (2025)

Large-Scale Estimation under Unknown Heteroskedasticity
par: Ho, Sheng Chao
Publié: (2025)

Efficient and Accessible Discrete Choice Experiments: The DCEtool Package for R
par: Pérez-Troncoso, Daniel
Publié: (2025)

Treatment Effect Heterogeneity in Regression Discontinuity Designs
par: Calonico, Sebastian, et autres
Publié: (2025)

Boundary Discontinuity Designs: Theory and Practice
par: Cattaneo, Matias D., et autres
Publié: (2025)

Optimal treatment assignment rules under capacity constraints
par: Sunada, Keita, et autres
Publié: (2025)

Causal Inference under Interference through Designed Markets
par: Munro, Evan
Publié: (2025)

Confidence Sets under Weak Identification: Theory and Practice
par: Schlemper, Gustavo, et autres
Publié: (2026)

Policy Learning under Endogeneity Using Instrumental Variables
par: Liu, Yan
Publié: (2022)

Identification in Multiple Treatment Models under Discrete Variation
par: Kamat, Vishal, et autres
Publié: (2023)

Ranking probabilistic forecasting models with different loss functions
par: Serafin, Tomasz, et autres
Publié: (2024)