IDEAS home Printed from https://ideas.repec.org/a/wly/quante/v9y2018i2p571-615.html
   My bibliography  Save this article

Empirical welfare analysis for discrete choice: Some general results

Author

Listed:
  • Debopam Bhattacharya

Abstract

This paper develops nonparametric methods for welfare‐analysis of economic changes in the common setting of multinomial choice. The results cover (a) simultaneous price‐change of multiple alternatives, (b) introduction/elimination of an option, (c) changes in choice‐characteristics, and (d) choice among nonexclusive alternatives. In these cases, Marshallian consumer surplus becomes path‐dependent, but Hicksian welfare remains well‐defined. We demonstrate that under completely unrestricted preference‐heterogeneity and income‐effects, the distributions of Hicksian welfare are point‐identified from structural choice‐probabilities in scenarios (a), (b), and only set‐identified in (c), (d). In program‐evaluation contexts, our results enable the calculation of compensated‐effects, that is, the program's cash‐equivalent and resulting deadweight‐loss. They also facilitate a theoretically justified cost‐benefit comparison of interventions targeting different outcomes, for example, a tuition‐subsidy and a health‐product subsidy. Welfare analyses under endogeneity is briefly discussed. An application to data on choice of fishing‐mode illustrates the methods.

Suggested Citation

  • Debopam Bhattacharya, 2018. "Empirical welfare analysis for discrete choice: Some general results," Quantitative Economics, Econometric Society, vol. 9(2), pages 571-615, July.
  • Handle: RePEc:wly:quante:v:9:y:2018:i:2:p:571-615
    DOI: 10.3982/QE931
    as

    Download full text from publisher

    File URL: https://doi.org/10.3982/QE931
    Download Restriction: no

    File URL: https://libkey.io/10.3982/QE931?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Romuald Meango, 2023. "Identification of Ex Ante Returns Using Elicited Choice Probabilities," Papers 2303.03009, arXiv.org.
    2. Steven T. Berry & Philip A. Haile, 2020. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," NBER Working Papers 27704, National Bureau of Economic Research, Inc.
    3. Dupas, Pascaline & Bhattacharya, Debopam & ,, 2019. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," CEPR Discussion Papers 13707, C.E.P.R. Discussion Papers.
    4. Vishal Kamat & Samuel Norris, 2020. "Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers," Papers 2002.00103, arXiv.org, revised Jan 2023.
    5. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    6. Paolo Delle Site & André de Palma & Karim Kilani, 2021. "Consumers’ welfare and compensating variation: survey and mode choice application," THEMA Working Papers 2021-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    7. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," Cowles Foundation Discussion Papers 2301, Cowles Foundation for Research in Economics, Yale University.
    8. Bart Capéau & Liebrecht De Sadeleer & Sebastiaan Maes & André Decoster, 2020. "Nonparametric welfare analysis for discrete choice: levels and differences of individual and social welfare," Working Papers of Department of Economics, Leuven 674666, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    9. Debopam Bhattacharya, 2021. "The Empirical Content of Binary Choice Models," Econometrica, Econometric Society, vol. 89(1), pages 457-474, January.
    10. Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
    11. Sebastiaan Maes & Raghav Malhotra, 2023. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," Papers 2303.01231, arXiv.org, revised Nov 2023.
    12. Alessandro Iaria, & Wang, Ao, 2021. "An Empirical Model of Quantity Discounts with Large Choice Sets," The Warwick Economics Research Paper Series (TWERPS) 1378, University of Warwick, Department of Economics.
    13. Debopam Bhattacharya & Tatiana Komarova, 2021. "Incorporating Social Welfare in Program-Evaluation and Treatment Choice," Papers 2105.08689, arXiv.org, revised Nov 2022.
    14. KANEKO Shinji & KAWATA Keisuke & YIN Ting, 2019. "Estimating Family Preference for Home Elderly-care Services: Large-scale Conjoint Survey Experiment in Japan," Discussion papers 19092, Research Institute of Economy, Trade and Industry (RIETI).
    15. Debopam Bhattacharya & Anders Kjelsrud & Rohini Somanathan, 2021. "Estimating the Welfare Gains from Public Schools in Rural India," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 430-443, November.
    16. John K. Dagsvik, 2020. "Marginal compensated effects and the slutsky equation for discrete choice models," Discussion Papers 930, Statistics Norway, Research Department.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:quante:v:9:y:2018:i:2:p:571-615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.