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on Discrete Choice Models |
| By: | Kene Boun My; Quang-Huy Nguyen; Phu Nguyen-Van; Thi Kim Cuong Pham; Anne Stenger; Tuyen Tiet; Nguyen To-The |
| Abstract: | This study uses a quantitative approach based on a discrete choice experiment with 586 farmers in Northern Vietnam to measure how representative market and non-market factors could influence their preferences for participating in organic certification schemes. Our results suggest that a sales contract with either flexible or guaranteed prices is a significant incentive to explain their willingness to pay higher production costs to be involved in organic certification schemes. Furthermore, providing farmers with training and technical support is also essential to motivate farmers toward organic agriculture. Finally, neighborhood cooperatives and formal leaders' participation in organic certification could encourage farmers to convert to organic agriculture. |
| Keywords: | Discrete choice experiment; Organic certification; Farmers' preferences; Leadership; Role of network |
| JEL: | C93 D10 Q00 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:drm:wpaper:2025-6 |
| By: | Vey, Meike (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI)); Namockel, Nils (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI)); Ruhnau, Oliver (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI)) |
| Abstract: | Electric mobility and renewable energy play key roles in the global energy transition. In this context, vehicle-to-grid technology, which enables bidirectional energy flow between electric vehicles and the grid, could make electric vehicles usable as energy storage units, thus supporting grid stability and integration of renewable energy. However, the willingness of electric vehicle owners to participate in vehicle-to-grid contracts remains insufficiently understood, particularly regarding how they respond to specific contract attributes. This paper addresses this gap by conducting a discrete choice experiment to evaluate the preferences of current and potential future German electric vehicle drivers for various vehicle-to-grid contract alternatives. We find that cycle-based remuneration, flexible contract duration, and environmental nudging significantly enhance consumer acceptance. Conversely, a lower guaranteed battery level and longer minimum plug-in durations negatively impact participation. We also test how respondent characteristics influence participation and identify income-dependent preferences, such as lower-income individuals attributing a stronger preference to fixed daily payments than higher-income individuals. Our differentiated őndings may be used to improve contract designs and marketing efforts to address the unique V2G preferences of various user segments. |
| Keywords: | Vehicle-to-grid; Discrete choice experiment; Willingness to accept; Preferences; Bidirectional charging |
| JEL: | C25 D12 Q42 Q48 Q51 Q58 R41 |
| Date: | 2025–02–06 |
| URL: | https://d.repec.org/n?u=RePEc:ris:ewikln:2025_001 |
| By: | Michael Kosfeld; Zahra Sharafi; Maíra Sontag González; Na Zou |
| Abstract: | Developing reliable and practicable measures of economic preferences is a crucial task for empirical economic research with high value for both theory and applications. Here, we present results from a first comprehensive “behavioral validation analysis” of the Global Preference Survey Module (GPS) and the corresponding Preference Survey Module (PSM) developed by Falk et al. (2018, 2023) that have been widely used for the measurement and analysis of economic preferences on a global scale. Our key questions are how well GPS and PSM modules explain behavior in incentivized choice experiments in other countries than in the original validation in Germany, and to what extent survey items and modules developed from behavioral experiments in different countries and cultures resemble one another. Our current results, which are based on experiments in three very diverse countries—China, Iran, and Kenya—show that many GPS and PSM survey items predict behavior in incentivized choice experiments, but coefficients vary and are not always sizable. Quantitative items, which are based on hypothetical choice experiments, are consistently selected into survey modules, whereas the best qualitative items differ between countries. At the same time, the contribution in terms of explanatory power of these latter items is comparably lower. Our analysis provides a first empirical basis for the development of survey modules that reliably predict behavior in incentivized choice experiments and real-life situations across diverse countries and contexts. Additional results, including principal component analysis and prediction of real-life behavior, highlight important gaps that warrant further investigation in future research. |
| Keywords: | economic preference, measurement, survey, experiment |
| JEL: | C83 C91 D01 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_11631 |
| By: | Jenny C. Aker (Cornell University; Center for Global Development); Brian Dillon (Cornell University); Leticia Donoso-Peña (Tufts University); Anne Krahn (Tufts University) |
| Abstract: | Willingness-to-pay (WTP) experiments have been widely used to assess demand for a variety of products. Do they also generate persistent treatment effects? We answer this question using a randomized controlled trial of a baseline WTP experiment, combined with in-person and phone survey data over a four-year period. We find that a simple experiment leads to positive and persistent effects on adoption and usage of an improved storage technology, as well as disadoption of traditional technologies. These results are primarily driven by households who experienced the product, rather than information or salience. Failing to account for demand elicitation experiments conducted at baseline may affect the external validity of the broader experiments in which they are embedded. |
| Keywords: | Willingness to pay, Becker-DeGroot-Marschak, Field Experiment, persistent treatment effects, agriculture |
| JEL: | O12 O13 C93 D44 |
| Date: | 2025–02–05 |
| URL: | https://d.repec.org/n?u=RePEc:cgd:wpaper:714 |
| By: | Rory Allanson (University of Strathclyde); Matthew Robson (Erasmus University Rotterdam and Tinbergen Institute) |
| Abstract: | We develop a social choice experiment to estimate public preferences on population ethics. Our experiment poses three within-subject treatments in which participants allocate scarce resources to determine the health-related quality-of-life, and existence, of two population groups. Within a flexible social welfare function, we estimate participant-level preferences for inequality aversion, average vs total welfare maximisation, and minimum `critical level' thresholds. By combining random behavioural and random utility models we also explicitly model `noise' in decision making. Using a sample of British adults (n=115, obs.=5, 060), we find that 98.7% of respondents are inequality averse, prioritising the worst-off at the expense of efficiently maximising overall health. The modal group of participants (39.2%) maximise total welfare and have a critical level threshold of zero, however there is extensive heterogeneity in participants' population preferences. We then demonstrate how these preferences can aid policymaking, where difficult trade-offs emerge between equity and efficiency, average and total welfare, and population size. |
| Keywords: | Experiment, Health, Social Welfare, Inequality, Population Ethics |
| JEL: | C90 D63 I18 |
| Date: | 2024–11–03 |
| URL: | https://d.repec.org/n?u=RePEc:tin:wpaper:20240067 |
| By: | Bryan Bollinger; Kenneth Gillingham; A. Justin Kirkpatrick |
| Abstract: | Individuals trade present for future consumption across a range of economic behaviors, and this tradeoff may differ across socioeconomic groups. To assess these tradeoffs, we estimate a dynamic model of residential solar adoption and system sizing in California using household-level data on solar irradiance, electricity consumption, and electricity rates that offer plausibly exogenous variation in the future benefits from adopting relative to upfront costs. We find implicit discount rates of 15.3%, 13.8%, and 10.0% for low-, medium-, and high-wealth households. Counterfactual simulations demonstrate opportunities to reduce the regressivity of solar adoption, increase policy cost-effectiveness, and improve welfare for low-wealth households. |
| Keywords: | solar, discount rates, energy policy, distributional impacts, dynamic discrete choice models |
| JEL: | L94 Q48 H23 D12 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_11627 |
| By: | Marc Bénard (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Margaux Robert (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Caroline Méjean (UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Benjamin Allès (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Emmanuelle Kesse-Guyot (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Pauline Paolassini Guesnier (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); France Bellisle (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Fabrice Etilé (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Gérard Reach (Hôpital Avicenne [AP-HP] - AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP)); Serge Hercberg (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Hôpital Avicenne [AP-HP] - AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP)); Mathilde Touvier (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Sandrine Péneau (EREN [CRESS - U1153 / UMR_A 1125] - Nutritional Epidemiology Research Team | Equipe de Recherche en Epidémiologie Nutritionnelle - CNAM - Conservatoire National des Arts et Métiers [CNAM] - Université Sorbonne Paris Nord - CRESS (U1153 / UMR_A 1125) - Centre for Research in Epidemiology and Statistics | Centre de Recherche Épidémiologie et Statistiques - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | Objectives: Consideration of future consequences (CFC) distinguishes individuals who adopt behaviors based on immediate needs and concerns from individuals who consider the future consequences of their behaviors. We aimed to assess the association between CFC and diet, and testing the mediating role of food choice motives on this relationship. Design: Individuals (age≥18 years) completed the CFC-12 questionnaire in 2014, at least three 24-h dietary records, and a food choice motive questionnaire. A multiple mediator analysis allowed to assess the mediating effect of food choice motives on the cross-sectional association between CFC and diet, adjusted for socio-demographic factors. Setting: Data from the NutriNet-Santé cohort study. Participants: 27, 330 participants. Results: CFC was associated with all food choice motives (P < 0.001), with the strongest positive associations for avoidance for environmental reasons, absence of contaminants and health motives, and the strongest negative associations for innovation and convenience). Positive total effects were found between CFC and the consumption of healthy food groups (fruits and vegetables, whole-grain foods, legumes); and negative total effects for alcohol, meat and poultry and processed meat (P < 0.001). CFC was positively associated with diet quality (P < 0.001). Across food groups, major mediators of these relationships were higher health (8.4-32.6%), higher environmental (13.7-22.1 %) and lower innovation (7.3-25.1 %) concerns. Conclusions: CFC was associated with healthier dietary intake, essentially mediated by a greater motivation of future-oriented participants for self-centered and altruistic outcomes, including health and environment. Focusing on the awareness of future benefits in public health interventions might lead to healthier dietary behaviors. |
| Keywords: | Consideration of future consequences, Food intake, Food choice motives, Adults, France |
| Date: | 2024–02 |
| URL: | https://d.repec.org/n?u=RePEc:hal:pseptp:hal-04447169 |
| By: | Hui Liu; Yao Luo |
| Abstract: | We observe nominal price rigidity in tobacco markets across China. The monopolistic seller responds by adjusting product assortments, which remain unobserved by the analyst. We develop and estimate a logit demand model that incorporates assortment discrimination and nominal price rigidity. We find that consumers are significantly more responsive to price changes than conventional models predict. Simulated tax increases reveal that neglecting the role of endogenous assortments results in underestimations of the decline in higher-tier product sales, incorrect directional predictions of lower-tier product sales, and overestimation of tax revenue by more than 50%. Finally, we extend our methodology to settings with competition and random coefficient models. |
| Date: | 2025–01 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2501.17251 |
| By: | Paul Hufe; Daniel Weishaar |
| Abstract: | The measurement of preferences often relies on surveys in which individuals evaluate hypothetical scenarios. This paper proposes and validates a novel factorial survey tool to measure fairness preferences. We examine whether a non-incentivized survey captures the same distributional preferences as an impartial spectator design, where choices may apply to a real person. In contrast to prior studies, our design involves high stakes, with respondents determining a real person’s monthly earnings, ranging from $500 to $5, 700. We find that the non-incentivized survey module yields nearly identical results compared to the incentivized experiment and recovers fairness preferences that are stable over time. Furthermore, we show that most respondents adopt intermediate fairness positions, with fewer exhibiting strictly egalitarian or libertarian preferences. In sum, these findings suggest that high-stake incentives do not significantly impact the measurement of fairness preferences and that non-incentivized survey questions covering realistic scenarios offer valuable insights into the nature of these preferences. |
| Keywords: | fairness preferences, survey experiment, vignette studies |
| JEL: | C90 D63 I39 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_11647 |