nep-dcm New Economics Papers
on Discrete Choice Models
Issue of 2023‒01‒09
five papers chosen by
Edoardo Marcucci
Università degli studi Roma Tre

  1. A Data Fusion Approach for Ride-sourcing Demand Estimation: A Discrete Choice Model with Sampling and Endogeneity Corrections By Rico Krueger; Michel Bierlaire; Prateek Bansal
  2. Willingness to Pay for Pesticide-free Vegetables: A Trade-off between Appearance and Pesticide Use By Katsuhito Nohara
  3. European consumers attitudes toward ethnic foods: Case of date fruits By Fatima El Hadad-Gauthier; Bleoussi Bernardin Monhoussou; Abdelhakim Hammoudi; Maria Angela Perito
  4. Procedural preferences for autonomy: an experimental study with Colombian workers By Prada-Medina, Laura; Mantilla, Cesar; Cortes, Darwin
  5. Testing revealed preference models with unobserved randomness: a column generation approach By Thomas Demuynck; Tom Potoms

  1. By: Rico Krueger; Michel Bierlaire; Prateek Bansal
    Abstract: Ride-sourcing services offered by companies like Uber and Didi have grown rapidly in the last decade. Understanding the demand for these services is essential for planning and managing modern transportation systems. Existing studies develop statistical models for ride-sourcing demand estimation at an aggregate level due to limited data availability. These models lack foundations in microeconomic theory, ignore competition of ride-sourcing with other travel modes, and cannot be seamlessly integrated into existing individual-level (disaggregate) activity-based models to evaluate system-level impacts of ride-sourcing services. In this paper, we present and apply an approach for estimating ride-sourcing demand at a disaggregate level using discrete choice models and multiple data sources. We first construct a sample of trip-based mode choices in Chicago, USA by enriching household travel survey with publicly available ride-sourcing and taxi trip records. We then formulate a multivariate extreme value-based discrete choice with sampling and endogeneity corrections to account for the construction of the estimation sample from multiple data sources and endogeneity biases arising from supply-side constraints and surge pricing mechanisms in ride-sourcing systems. Our analysis of the constructed dataset reveals insights into the influence of various socio-economic, land use and built environment features on ride-sourcing demand. We also derive elasticities of ride-sourcing demand relative to travel cost and time. Finally, we illustrate how the developed model can be employed to quantify the welfare implications of ride-sourcing policies and regulations such as terminating certain types of services and introducing ride-sourcing taxes.
    Date: 2022–12
  2. By: Katsuhito Nohara
    Abstract: Most Japanese consumers focus on the appearance of vegetables, for example, their shape, color, or size. However, giving consumers precise information about the growing process of vegetables may change their preferences. Therefore, in order to reduce food loss, it is important to change consumers' preferences for vegetables and for producers to understand consumers' preferences, and select vegetable production methods. Japanese supermarkets sell vegetables containing legally permissible amounts of pesticides and chemical fertilizers, and chemical-free vegetables are generally hard to find. Therefore, in this study, pesticide-free vegetables were cultivated from scratch to analyze whether consumers are willing to pay a premium when presented with pesticide-free vegetables. The contingent valuation method and double-bound dichotomous choice were used for analysis. The results revealed that consumers' willingness to pay was not related to the appearance of the pesticide-free vegetables. In other words, they cared neither about the color nor about the shape of the vegetables so long as they were pesticide-free. In Japan, some farmers continue to grow organic or pesticide-free vegetables, although they are few. Therefore, if producers know the actual needs of consumers' vegetables, they may reduce their dependence on pesticides and chemical fertilizers and expand the market for environmentally friendly and healthy vegetables. Such a change could, in turn, reduce food loss.
    Date: 2022–12
  3. By: Fatima El Hadad-Gauthier (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, CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes); Bleoussi Bernardin Monhoussou (CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes); Abdelhakim Hammoudi (Universit ́e Paris-Saclay, INRAE, AgroParisTech, Paris-Saclay Applied Economics); Maria Angela Perito (Universit ́e Paris-Saclay, INRAE, AgroParisTech, Paris-Saclay Applied Economics, Facoltà di Bioscienze e tecnologie agro-alimentari e ambientali - Faculty of Bioscience and Agro-Food and Environmental Technology [Teramo] - UniTE - Università degli Studi di Teramo)
    Abstract: This study focuses on the perception of ethnic foods by European consumers. The aim of this work is to enrich the literature on the analysis of consumer perception of ethnic foods by focusing on the socio-demographic characteristics of consumers, the possible role played by product attributes, psychographic characteristics, and willingness to pay for these products, specifically date fruits. We surveyed a representative sample of 1123 Italian and French consumers. Using an ordered logit model, we found that, as for any other product, geographical indication, region of production, organic character, and fair trade are attributes that individuals consider in their purchase decisions for ethnic foods. Similarly, country of origin is a source of quality for ethnic foods such as dates. The results reveal that women, more educated individuals, and Generation Z (younger individuals) have a higher willingness to pay for organic, fair trade, and GI-labeled ethnic foods. Finally, this willingness to pay is driven more by product knowledge than by cognitive closeness to the ethnic food.
    Keywords: ethnic food,organic foods,consumers’ attitude,willingness to pay,date fruits
    Date: 2022–08
  4. By: Prada-Medina, Laura; Mantilla, Cesar; Cortes, Darwin
    Abstract: We document how the procedure of allocating barely identical tasks among team members affects productivity and the willingness to pay for repeating the job alone rather than in teams. We find a complementarity relation between the assignment procedure (by-choice, imposed by a third party with a higher hierarchy, or random) and the preferences about the task to perform. For participants in the Imposed mechanism, being assigned to a preferred task increases performance, while being imposed on a non-preferred task negatively affects performance. Moreover, we find that the participants who were more interested in paying for autonomy were those randomly assigned to be autonomous (by-choice) at the beginning of the experiment. Hence, these results suggest that people care about factors beyond payoffs, such as autonomy. Among self-employed workers, the effect on the productivity of being imposed on a non-preferred task is exacerbated, and we did not find any statistical impact on the willingness to pay for playing alone.
    Date: 2022–11–29
  5. By: Thomas Demuynck; Tom Potoms
    Abstract: We present a computationally fast and simple algorithm to test structural revealedpreference models in the presence of unobserved randomness. Towards this end, weoperationalize insights from random set theory. We demonstrate the practical relevanceof our results by an application to the standard intertemporal consumption model withidiosyncratic income risks and an approximate expected utility model
    Keywords: Partial identification, , , .; revealed preferences; column generation approach; random set theory
    JEL: C50 C60 D15
    Date: 2022–12

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