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J Choice Modelling

Introduction

Journal of Choice Modelling, 48

INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs


Formative versus reflective attitude measures: Extending the hybrid choice model
J.M. Rose, A. Borriello, A. Pellegrini []

Reducing sample size requirements by extending discrete choice experiments to indifference elicitation
Ambuj Sriwastava, Peter Reichert []

A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior
Evanthia Kazagli, Matthieu de Lapparent []

Consumer preferences for country of origin labeling: Bridging the gap between research estimates and real-world behavior
Bachir Kassas, Xiang Cao, Zhifeng Gao, Lisa A. House, Zhengfei Guan []

One or two-step? Evaluating GMM efficiency for spatial binary probit models
Gianfranco Piras, Mauricio Sarrias []

Theory-driven or data-driven? Modelling ride-sourcing mode choices using integrated choice and latent variable model and multi-task learning deep neural networks
Yicong Liu, Patrick Loa, Kaili Wang, Khandker Nurul Habib []

A cross-sectional exploration of labor supply, gender, and household wealth in urban China
Xuehui Han, Tao Zhang, John K. Dagsvik, Yuan Cheng []

A randomized group approach to identifying label effects
Brandon R. McFadden, Jayson L. Lusk, Adam Pollack, Joy N. Rumble, Kathryn A. Stofer, Kevin M. Folta []

Software Paper

NP4VTT: A new software for estimating the value of travel time with nonparametric models
José Ignacio Hernández, Sander van Cranenburgh []

VSI: Climate Adaptation

Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam
Tra Thi Trinh, Alistair Munro []

Climate change adaptation preferences of winemakers from the Rioja wine appellation
Ainhoa Vega-Bayo, Petr Mariel, Jürgen Meyerhoff, Armando Maria Corsi, Milan Chovan []

VSI: For A.A.J. Marley

Preference estimation from point allocation experiments
Marion Collewet, Paul Koster []

How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices
Konstantina Sokratous, Anderson K. Fitch, Peter D. Kvam []