Cover Image

Bivariate Distribution Regression; Theory, Estimation and an Application to Intergenerational Mobility

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chernozhukov, Victor, Fernández-Val, Iván, Meier, Jonas, van Vuuren, Aico, Vella, Francis
Format:	Preprint
Published:	2025
Subjects:	Econometrics Methodology 62P20
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Rank-Rank Regression
by: Chernozhukov, Victor, et al.
Published: (2024)

Comment on "Sequential validation of treatment heterogeneity" and "Comment on generic machine learning inference on heterogeneous treatment effects in randomized experiments"
by: Chernozhukov, Victor, et al.
Published: (2025)

A simple distributional difference-in-differences estimator for univariate and bivariate outcomes
by: Fernández-Val, Iván, et al.
Published: (2024)

Philip G. Wright, directed acyclic graphs, and instrumental variables
by: Abbring, Jaap H., et al.
Published: (2025)

Unbiased Regression-Adjusted Estimation of Average Treatment Effects in Randomized Controlled Trials
by: Abadie, Alberto, et al.
Published: (2025)

Automatic Debiased Machine Learning via Riesz Regression
by: Chernozhukov, Victor, et al.
Published: (2021)

Nonlinear Temperature Sensitivity of Residential Electricity Demand: Evidence from a Distributional Regression Approach
by: Nam, Kyungsik, et al.
Published: (2025)

Quantile Treatment Effects in High Dimensional Panel Data
by: Xu, Yihong, et al.
Published: (2025)

Bayesian Smoothed Quantile Regression
by: Liu, Bingqi, et al.
Published: (2025)

Hours worked and the US distribution of real annual earnings 1976–2019
by: Iván Fernández‐Val, et al.
Published: (2024)

On the Robustness of Mixture Models in the Presence of Hidden Markov Regimes with Covariate-Dependent Transition Probabilities
by: Pouzo, Demian, et al.
Published: (2025)

Ill-Conditioned Orthogonal Scores in Double Machine Learning
by: Saco, Gabriel
Published: (2025)

A Short Note on Event-Study Synthetic Difference-in-Differences Estimators
by: Ciccia, Diego
Published: (2024)

Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
by: Chernozhukov, Victor, et al.
Published: (2024)

Bayesian Synthetic Control with a Soft Simplex Constraint
by: Xu, Yihong, et al.
Published: (2025)

On Spatio-Temporal Stochastic Frontier Models
by: Fusco, Elisa, et al.
Published: (2024)

Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists
by: Henningsen, Arne, et al.
Published: (2025)

The Power of Prognosis: Improving Covariate Balance Tests with Outcome Information
by: Bicalho, Clara, et al.
Published: (2022)

Empirical Bayes Selection for Value Maximization
by: Coey, Dominic, et al.
Published: (2022)

Probabilistic Scenario-Based Assessment of National Food Security Risks with Application to Egypt and Ethiopia
by: Koundouri, Phoebe, et al.
Published: (2023)

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
by: Klaassen, Sven, et al.
Published: (2024)

Design-Based Variance Estimation for Modern Heterogeneity-Robust Difference-in-Differences Estimators
by: Gerber, Isaac
Published: (2026)

Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis
by: Hosszejni, Darjus, et al.
Published: (2022)

Distribution Regression with Censored Selection
by: Fernandez-Val, Ivan, et al.
Published: (2025)

Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies
by: Ghosh, Aditya, et al.
Published: (2025)

Long Story Short: Omitted Variable Bias in Causal Machine Learning
by: Chernozhukov, Victor, et al.
Published: (2021)

Orthogonality-Constrained Deep Instrumental Variable Model for Causal Effect Estimation
by: Yao, Shunxin
Published: (2025)

JFR-rg: A New Macroeconomic Framework for High-Debt, Low-Growth Economies under Financial Repression
by: Wakimoto, Hirofumi
Published: (2026)

Club coefficients in the UEFA Champions League: Time for shift to an Elo-based formula
by: Csató, László
Published: (2023)

Identification and estimation of structural vector autoregressive models via LU decomposition
by: Shimokawa, Masato, et al.
Published: (2025)

Estimating the Impact of the Bitcoin Halving on Its Price Using Synthetic Control
by: Virtonen, Vladislav
Published: (2025)

Functional Regression with Nonstationarity and Error Contamination: Application to the Economic Impact of Climate Change
by: Nam, Kyungsik, et al.
Published: (2025)

Uniform Validity of the Subset Anderson-Rubin Test under Heteroskedasticity and Nonlinearity
by: Inoue, Atsushi, et al.
Published: (2025)

Optimizing Forecast Combination Weights Using Exponentially Weighted Hit and Win Rate Losses
by: van Eijk, Henry D., et al.
Published: (2025)

Large-dimensional Factor Analysis with Weighted PCA
by: Lyu, Zhongyuan, et al.
Published: (2025)

Conditional nonparametric variable screening by neural factor regression
by: Fan, Jianqing, et al.
Published: (2024)

Maximum Entropy Estimation of Heterogeneous Causal Effects
by: Knaeble, Brian, et al.
Published: (2024)

Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
by: Hejný, Ivan, et al.
Published: (2026)

Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes
by: Fernandez-Val, Ivan, et al.
Published: (2022)

Double Descent and Benign Overfitting in Macroeconomic Forecasting
by: Carriero, Andrea, et al.
Published: (2026)