IDEAS home Printed from https://ideas.repec.org/r/aea/aecrev/v111y2021i6p1972-2006.html
   My bibliography  Save this item

Discrete Choice under Risk with Limited Consideration

Citations

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


Cited by:

  1. Mikhail Freer & Hassan Nosratabadi, 2024. "On the Welfare (Ir)Relevance of Two-Stage Models," Papers 2411.08263, arXiv.org.
  2. Glenn W. Harrison, 2024. "Risk preferences and risk perceptions in insurance experiments: some methodological challenges," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 127-161, March.
  3. Cristina Gualdani & Shruti Sinha, 2023. "Identification in Discrete Choice Models with Imperfect Information," Working Papers 949, Queen Mary University of London, School of Economics and Finance.
  4. Apesteguia, Jose & Ballester, Miguel A., 2023. "Random utility models with ordered types and domains," Journal of Economic Theory, Elsevier, vol. 211(C).
  5. Gualdani, Cristina & Sinha, Shruti, 2019. "Identification and inference in discrete choice models with imperfect information," TSE Working Papers 19-1049, Toulouse School of Economics (TSE), revised Jun 2020.
  6. Belzil, Christian & Pernaudet, Julie & Poinas, François, 2021. "Estimating Coherency between Survey Data and Incentivized Experimental Data," IZA Discussion Papers 14594, Institute of Labor Economics (IZA).
  7. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
  8. Chew, Soo Hong & Miao, Bin & Shen, Qiang & Zhong, Songfa, 2022. "Multiple-switching behavior in choice-list elicitation of risk preference," Journal of Economic Theory, Elsevier, vol. 204(C).
  9. Victor H. Aguiar & Maria Jose Boccardi & Nail Kashaev & Jeongbin Kim, 2023. "Random utility and limited consideration," Quantitative Economics, Econometric Society, vol. 14(1), pages 71-116, January.
  10. Masatlioglu, Yusufcan & Vu, Tri Phu, 2024. "Growing attention," Journal of Economic Theory, Elsevier, vol. 222(C).
  11. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
  12. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu, 2023. "Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1030-1034, October.
  13. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  14. YingHua He & Shruti Sinha & Xiaoting Sun, 2021. "Identification and Estimation in Many-to-one Two-sided Matching without Transfers," Papers 2104.02009, arXiv.org, revised Jul 2023.
  15. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2021. "Discrete Choice under Risk with Limited Consideration," American Economic Review, American Economic Association, vol. 111(6), pages 1972-2006, June.
  16. Nikhil Agarwal & Paulo J. Somaini, 2022. "Demand Analysis under Latent Choice Constraints," NBER Working Papers 29993, National Bureau of Economic Research, Inc.
  17. Victor H. Aguiar & Nail Kashaev, 2025. "Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 43(1), pages 204-215, January.
  18. Johannes G. Jaspersen & Marc A. Ragin & Justin R. Sydnor, 2019. "Predicting Insurance Demand from Risk Attitudes," NBER Working Papers 26508, National Bureau of Economic Research, Inc.
  19. Han, Yafei & Pereira, Francisco Camara & Ben-Akiva, Moshe & Zegras, Christopher, 2022. "A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 166-186.
  20. Yicheng Song & Zhuoxin Li & Nachiketa Sahoo, 2022. "Matching Returning Donors to Projects on Philanthropic Crowdfunding Platforms," Management Science, INFORMS, vol. 68(1), pages 355-375, January.
  21. Dahl, Gordon B. & Forbes, Silke J., 2023. "Doctor switching costs," Journal of Public Economics, Elsevier, vol. 221(C).
  22. Georgios Gerasimou, 2020. "Decision Conflict, Logit, and the Outside Option," Papers 2008.04229, arXiv.org, revised Nov 2024.
  23. Valentino Dardanoni & Paola Manzini & Marco Mariotti & Christopher J. Tyson, 2020. "Inferring Cognitive Heterogeneity From Aggregate Choices," Econometrica, Econometric Society, vol. 88(3), pages 1269-1296, May.
  24. Gualdani, Cristina & Sinha, Shruti, 2024. "Identification in discrete choice models with imperfect information," Journal of Econometrics, Elsevier, vol. 244(1).
  25. Ante Sterc, 2022. "Limited Consideration in the Investment Fund Choice," CERGE-EI Working Papers wp729, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  26. Martin, Simon, 2020. "Market transparency and consumer search - Evidence from the German retail gasoline market," DICE Discussion Papers 350, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.