Cover Image

Combining stated and revealed preferences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meango, Romuald, Henry, Marc, Mourifie, Ismael
Format:	Preprint
Published:	2025
Subjects:	Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Just Ask Them Twice: Choice Probabilities and Identification of Ex ante returns and Willingness-To-Pay
by: Meango, Romuald, et al.
Published: (2023)

Robust Counterfactuals in Centralized Schools Choice Systems: Addressing Gender Inequality in STEM Education
by: Li, Lixiong, et al.
Published: (2025)

Discordant Relaxations of Misspecified Models
by: Li, Lixiong, et al.
Published: (2020)

Horowitz-Manski-Lee Bounds with Multilayered Sample Selection
by: Kroft, Kory, et al.
Published: (2024)

Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings
by: Ghanem, Dalia, et al.
Published: (2023)

Causal Effects in Matching Mechanisms with Strategically Reported Preferences
by: Bertanha, Marinho, et al.
Published: (2023)

A Sharp Test for the Judge Leniency Design
by: Coulibaly, Mohamed, et al.
Published: (2024)

Identification and Estimation of a Semiparametric Logit Model using Network Data
by: Kounga, Brice Romuald Gueyap
Published: (2023)

Occupational segregation in a Roy model with composition preferences
by: Chen, Haoning, et al.
Published: (2020)

An econometrician's guide to optimal transport
by: Galichon, Alfred, et al.
Published: (2026)

Finite Sample Inference in Incomplete Models
by: Li, Lixiong, et al.
Published: (2022)

Is the distribution of resolvable uncertainty Type I extreme value? A Test for Random Coefficient Models using Choice Probabilities
by: Meango, Romuald
Published: (2025)

Homophily in preferences or meetings? Identifying and estimating an iterative network formation model
by: Alvarez, Luis, et al.
Published: (2022)

A break from the norm? Parametric representations of preference heterogeneity for discrete choice models in health
by: Buckell, John, et al.
Published: (2025)

Corrected Forecast Combinations
by: Liu, Chu-An, et al.
Published: (2026)

Combining Clusters for the Approximate Randomization Test
by: Lau, Chun Pong
Published: (2025)

Lorenz map, inequality ordering and curves based on multidimensional rearrangements
by: Fan, Yanqin, et al.
Published: (2022)

Combine and conquer: model averaging for out-of-distribution forecasting
by: Hess, Stephane, et al.
Published: (2025)

Forecasting on the Accuracy-Timeliness Frontier: Two Novel `Look Ahead' Predictors
by: Wildi, Marc
Published: (2026)

Sign Accuracy, Mean-Squared Error and the Rate of Zero Crossings: a Generalized Forecast Approach
by: Wildi, Marc
Published: (2026)

The Informativeness of Combined Experimental and Observational Data under Dynamic Selection
by: Park, Yechan, et al.
Published: (2024)

Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach
by: Medeiros, Marcelo C., et al.
Published: (2025)

On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination
by: Chen, Xiaohong, et al.
Published: (2025)

Estimating Fiscal Multipliers by Combining Statistical Identification with Potentially Endogenous Proxies
by: Keweloh, Sascha A., et al.
Published: (2023)

Linear Regressions with Combined Data
by: D'Haultfoeuille, Xavier, et al.
Published: (2024)

The Identification Power of Combining Experimental and Observational Data for Distributional Treatment Effect Parameters
by: Sakaguchi, Shosei
Published: (2025)

Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination
by: Li, Lixiong
Published: (2026)

A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data
by: Park, Yechan, et al.
Published: (2024)

The Dynamic, the Static, and the Weak: Factor models and the analysis of high-dimensional time series
by: Barigozzi, Matteo, et al.
Published: (2024)

Dynamic Factor Models: a Genealogy
by: Barigozzi, Matteo, et al.
Published: (2023)

Testing Parametric Distribution Family Assumptions via Differences in Differential Entropy
by: Mittelhammer, Ron, et al.
Published: (2025)

The Accuracy Smoothness Dilemma in Prediction: a Novel Multivariate M-SSA Forecast Approach
by: Wildi, Marc
Published: (2026)

Simultaneous Inference Bands for Autocorrelations
by: Hassler, Uwe, et al.
Published: (2025)

Functional effects models: Accounting for preference heterogeneity in panel data with machine learning
by: Salvadé, Nicolas, et al.
Published: (2025)

Identification of structural shocks in Bayesian VEC models with two-state Markov-switching heteroskedasticity
by: Wróblewska, Justyna, et al.
Published: (2024)

A Hybrid Framework Combining Autoregression and Common Factors for Matrix Time Series
by: Fan, Zhiyun, et al.
Published: (2025)

Ridge Estimation of High Dimensional Two-Way Fixed Effect Regression
by: He, Junnan, et al.
Published: (2026)

Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)

An Auditable AI Agent Loop for Empirical Economics: A Case Study in Forecast Combination
by: Shin, Minchul
Published: (2026)

Asymptotic Inference for Rank Correlations
by: Pohle, Marc-Oliver, et al.
Published: (2025)