Cover Image

Statistical significance in choice modelling: computation, usage and reporting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hess, Stephane, Daly, Andrew, Bliemer, Michiel, Guevara, Angelo, Daziano, Ricardo, Dekker, Thijs
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

Get me out of this hole: a profile likelihood approach to identifying and avoiding inferior local optima in choice models
by: Hess, Stephane, et al.
Published: (2025)

Posterior inference of attitude-behaviour relationships using latent class choice models
by: Vij, Akshay, et al.
Published: (2025)

Understanding the decision-making process of choice modellers
by: Nova, Gabriel, et al.
Published: (2024)

Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
by: Sfeir, Georges, et al.
Published: (2025)

Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
by: Villarraga, Daniel F., et al.
Published: (2025)

Bayesian Deep Learning for Discrete Choice
by: Villarraga, Daniel F., et al.
Published: (2025)

Flexibility without foresight: the predictive limitations of mixture models
by: Hess, Stephane, et al.
Published: (2025)

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

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
by: Wang, Shenhao, et al.
Published: (2021)

Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
by: Hancock, Thomas O., et al.
Published: (2025)

Grouped fixed effects regularization for binary choice models
by: Pigini, Claudia, et al.
Published: (2025)

Continuous permanent unobserved heterogeneity in dynamic discrete choice models
by: Bunting, Jackson
Published: (2022)

Faster estimation of dynamic discrete choice models using index invertibility
by: Bunting, Jackson, et al.
Published: (2023)

Binary choice logit models with general fixed effects for panel and network data
by: Dano, Kevin, et al.
Published: (2025)

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

Microtransit revenue management informed by citywide travel demand and joint subscription-mode choice modeling
by: Ren, Xiyuan, et al.
Published: (2024)

New possibilities in identification of binary choice models with fixed effects
by: Zhu, Yinchu
Published: (2022)

Back to Feedback: Dynamics and Heterogeneity in Panel Data
by: Bonhomme, Stephane
Published: (2025)

Rationalizing dynamic choices
by: de Oliveira, Henrique, et al.
Published: (2025)

A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models
by: Bucci, Andrea
Published: (2024)

Testing the effects of an unobservable factor: Do marriage prospects affect college major choice?
by: Arslan, Hayri Alper, et al.
Published: (2024)

Practically significant differences between conditional distribution functions
by: Dette, Holger, et al.
Published: (2025)

Estimating Heterogeneous Effects: Applications to Labor Economics
by: Bonhomme, Stephane, et al.
Published: (2024)

Estimating Individual Responses when Tomorrow Matters
by: Bonhomme, Stephane, et al.
Published: (2023)

On the falsification of instrumental variable models for heterogeneous treatment effects
by: Miranda, Ricardo E.
Published: (2026)

An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
by: Hernandez, Jose Ignacio, et al.
Published: (2024)

Structural breaks detection and variable selection in dynamic linear regression via the Iterative Fused LASSO in high dimension
by: Milfont, Angelo, et al.
Published: (2025)

Epsilon-Minimax Solutions of Statistical Decision Problems
by: Fernández, Andrés Aradillas, et al.
Published: (2025)

On the Rates of Convergence of Induced Ordered Statistics and their Applications
by: Bugni, Federico A., et al.
Published: (2026)

Normal Approximation for U-Statistics with Cross-Sectional Dependence
by: Liu, Weiguang
Published: (2024)

The Robust F-Statistic as a Test for Weak Instruments
by: Windmeijer, Frank
Published: (2023)

Statistical Decisions and Partial Identification: With Application to Boundary Discontinuity Design
by: Qiu, Chen, et al.
Published: (2026)

Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory
by: Dominitz, Jeff, et al.
Published: (2024)

Do t-Statistic Hurdles Need to be Raised?
by: Chen, Andrew Y.
Published: (2022)

Uncertain Short-Run Restrictions and Statistically Identified Structural Vector Autoregressions
by: Keweloh, Sascha A.
Published: (2023)

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

Challenges in Statistically Rejecting the Perfect Competition Hypothesis Using Imperfect Competition Data
by: Matsumura, Yuri, et al.
Published: (2023)

Forecasting Oil Consumption: The Statistical Review of World Energy Meets Machine Learning
by: Ditzen, Jan, et al.
Published: (2026)

Statistically identified structural VAR model with potentially skewed and fat‐tailed errors
by: Jetro Anttonen, et al.
Published: (2024)

Vulnerability Webs: Systemic Risk in Software Networks
by: Fritz, Cornelius, et al.
Published: (2024)