IDEAS home Printed from https://ideas.repec.org/r/eee/transb/v81y2015ip1p59-77.html

Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Pellegrini, Andrea & Rose, John Matthew, 2025. "On allowing endogenous minimum consumption bounds in the multiple discrete continuous choice model: An application to expenditure patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 193(C).
  2. Jara-Díaz, Sergio R. & Astroza, Sebastian & Bhat, Chandra R. & Castro, Marisol, 2016. "Introducing relations between activities and goods consumption in microeconomic time use models," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 162-180.
  3. Pellegrini, Andrea & Pinjari, Abdul Rawoof & Maggi, Rico, 2021. "A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 37-53.
  4. 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).
  5. Palma, David & Hess, Stephane, 2022. "Extending the Multiple Discrete Continuous (MDC) modelling framework to consider complementarity, substitution, and an unobserved budget," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 13-35.
  6. Wen Lin & David L Ortega & Vincenzina Caputo, 2023. "Experimental quantity, mental budgeting and food choice: a discrete choice experiment application," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 457-496.
  7. Liao, Fanchao & Dissanayake, Dilum & Homem de Almeida Correia, Gonçalo, 2024. "Modelling the complementarity and flexibility between different shared modes available in smart electric mobility hubs (eHUBS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
  8. Tran, Hung & Mai, Tien, 2024. "Network-based representations and dynamic discrete choice models for multiple discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 184(C).
  9. Stanley Frederick W. T. Lim & Elliot Rabinovich & Sanghak Lee & Sungho Park, 2025. "Estimating Stockout Costs and Optimal Stockout Rates: A Case on the Management of Ugly Produce Inventory," Management Science, INFORMS, vol. 71(4), pages 3106-3126, April.
  10. Saxena, Shobhit & Pinjari, Abdul Rawoof & Paleti, Rajesh, 2022. "A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 259-283.
  11. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
  12. Bhat, Chandra R., 2022. "A new closed-form two-stage budgeting-based multiple discrete-continuous model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 162-192.
  13. Bonnet, Céline & Richards, Timothy J., 2016. "Models of Consumer Demand for Differentiated Products," TSE Working Papers 16-741, Toulouse School of Economics (TSE).
  14. Palma, David & Calastri, Chiara & Pawlak, Jacek, 2023. "The role of time budgets in models of multi-tasking while travelling: A comparison between the MDCEV and eMDC approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
  15. Jon Zeller & Sridhar Narayanan, 2024. "Investigating complementarities in subscription software usage using advertising experiments," Quantitative Marketing and Economics (QME), Springer, vol. 22(4), pages 389-443, December.
  16. Kidokoro, Yukihiro, 2016. "A micro foundation for discrete choice models with multiple categories of goods," Journal of choice modelling, Elsevier, vol. 19(C), pages 54-72.
  17. Astroza, Sebastian & Guarda, Pablo & Carrasco, Juan Antonio, 2022. "Modeling the relationship between food purchasing, transport, and health outcomes: Evidence from Concepcion, Chile," Journal of choice modelling, Elsevier, vol. 42(C).
  18. Andrea Pellegrini & Igor Sarman & Rico Maggi, 2021. "Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices," Transportation, Springer, vol. 48(2), pages 931-951, April.
  19. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
  20. Dekker, Thijs & Koster, Paul & Mouter, Niek, 2024. "A micro-econometric framework for Participatory Value Evaluation," Journal of choice modelling, Elsevier, vol. 52(C).
  21. Saxena, Shobhit & Pinjari, Abdul Rawoof & Bhat, Chandra R., 2022. "Multiple discrete-continuous choice models with additively separable utility functions and linear utility on outside good: Model properties and characterization of demand functions," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 526-557.
  22. Wen Lin, 2023. "The effect of product quantity on willingness to pay: A meta‐regression analysis of beef valuation studies," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 646-663, July.
  23. Sanghak Lee & Sunghoon Kim & Sungho Park, 2022. "A sequential choice model for multiple discrete demand," Quantitative Marketing and Economics (QME), Springer, vol. 20(2), pages 141-178, June.
  24. Saxena, Shobhit & Pinjari, Abdul Rawoof & Roy, Ananya & Paleti, Rajesh, 2021. "Multiple discrete-continuous choice models with bounds on consumptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 237-265.
  25. Budziński, Wiktor & Czajkowski, Mikołaj & Le Clec’h, Solen & Markiewicz, Olimpia & Matzdorf, Bettina & Opatrný, Matěj & Rommel, Jens & Sagebiel, Julian & Schulze, Christoph & Ščasný, Milan & van Busse, 2026. "Volumetric choice experiments and welfare measures in a subsidy-driven context," Resource and Energy Economics, Elsevier, vol. 86(C).
  26. Mondal, Aupal & Bhat, Chandra R., 2021. "A new closed form multiple discrete-continuous extreme value (MDCEV) choice model with multiple linear constraints," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 42-66.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.