Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments
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DOI: 10.1016/j.jocm.2022.100397
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- Mulderij, Lisanne S. & Hernández, José Ignacio & Mouter, Niek & Verkooijen, Kirsten T. & Wagemakers, Annemarie, 2021. "Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income," Social Science & Medicine, Elsevier, vol. 280(C).
- Thijs Dekker & Paul (P.R.) Koster & Niek Mouter, 2019. "The economics of participatory value evaluation," Tinbergen Institute Discussion Papers 19-008/VIII, Tinbergen Institute.
- Niek Mouter & Jose Ignacio Hernandez & Anatol Valerian Itten, 2021. "Public participation in crisis policymaking. How 30,000 Dutch citizens advised their government on relaxing COVID-19 lockdown measures," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-42, May.
- Neill, Clinton L. & Lahne, Jacob, 2022. "Matching reality: A basket and expenditure based choice experiment with sensory preferences," Journal of choice modelling, Elsevier, vol. 44(C).
- Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).
- Sifringer, Brian & Lurkin, Virginie & Alahi, Alexandre, 2020. "Enhancing discrete choice models with representation learning," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 236-261.
- Mouter, Niek & Koster, Paul & Dekker, Thijs, 2021. "Contrasting the recommendations of participatory value evaluation and cost-benefit analysis in the context of urban mobility investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 54-73.
- Carson, Richard T. & Eagle, Thomas C. & Islam, Towhidul & Louviere, Jordan J., 2022. "Volumetric choice experiments (VCEs)," Journal of choice modelling, Elsevier, vol. 42(C).
- Ortelli, Nicola & Hillel, Tim & Pereira, Francisco C. & de Lapparent, Matthieu & Bierlaire, Michel, 2021. "Assisted specification of discrete choice models," Journal of choice modelling, Elsevier, vol. 39(C).
- Rotteveel, A. H. & Lambooij, M. S. & Over, E. A. B. & Hernández, J. I. & Suijkerbuijk, A. W. M. & de Blaeij, A. T. & de Wit, G. A. & Mouter, N., 2022. "If you were a policymaker, which treatment would you disinvest? A participatory value evaluation on public preferences for active disinvestment of health care interventions in the Netherlands," Health Economics, Policy and Law, Cambridge University Press, vol. 17(4), pages 428-443, October.
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Keywords
Machine learning; Choice experiments; Participatory value evaluation; Association rules; Random forests;All these keywords.
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