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Elchin Suleymanov

Not to be confused with: Elchin Suleymanov

Personal Details

First Name:Elchin
Middle Name:
Last Name:Suleymanov
Suffix:
RePEc Short-ID:psu660
[This author has chosen not to make the email address public]
https://sites.google.com/view/elchin-suleymanov/
Terminal Degree: Economics Department; University of Michigan (from RePEc Genealogy)

Affiliation

Department of Economics
Mitchell E. Daniels, Jr. School of Business
Purdue University

West Lafayette, Indiana (United States)
http://www.krannert.purdue.edu/academics/economics/
RePEc:edi:depurus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Matthew Kovach & Elchin Suleymanov, 2021. "Reference Dependence and Random Attention," Papers 2106.13350, arXiv.org, revised Mar 2023.
  2. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2017. "A Random Attention Model," Papers 1712.03448, arXiv.org, revised Aug 2019.

Articles

  1. Özgür Kibris & Yusufcan Masatlioglu & Elchin Suleymanov, 2024. "A Random Reference Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(1), pages 155-209, February.
  2. Kovach, Matthew & Suleymanov, Elchin, 2023. "Reference dependence and random attention," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 421-441.
  3. Özgür Kıbrıs & Yusufcan Masatlioglu & Elchin Suleymanov, 2023. "A theory of reference point formation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(1), pages 137-166, January.
  4. Yusufcan Masatlioglu & Elchin Suleymanov, 2021. "Decision making within a product network," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(1), pages 185-209, February.
  5. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2020. "A Random Attention Model," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2796-2836.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2017. "A Random Attention Model," Papers 1712.03448, arXiv.org, revised Aug 2019.

    Cited by:

    1. Matthew Kovach & Elchin Suleymanov, 2021. "Reference Dependence and Random Attention," Papers 2106.13350, arXiv.org, revised Mar 2023.
    2. Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
    3. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
    4. John K. -H. Quah & Gerelt Tserenjigmid, 2022. "Price Heterogeneity as a source of Heterogenous Demand," Papers 2201.03784, arXiv.org, revised Jan 2022.
    5. Linzenich, Anika & Arning, Katrin & Bongartz, Dominik & Mitsos, Alexander & Ziefle, Martina, 2019. "What fuels the adoption of alternative fuels? Examining preferences of German car drivers for fuel innovations," Applied Energy, Elsevier, vol. 249(C), pages 222-236.
    6. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete Choice under Risk with Limited Consideration," Papers 1902.06629, arXiv.org, revised Jan 2021.
    7. 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.
    8. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    9. 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.
    10. Chadd, Ian, 2023. "Random network consideration: Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 251-269.
    11. Ben Aoki-Sherwood & Catherine Bregou & David Liben-Nowell & Kiran Tomlinson & Thomas Zeng, 2024. "Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models," Papers 2401.11016, arXiv.org.
    12. Andrew Ellis & Heidi Christina Thysen, 2021. "Subjective Causality in Choice," Papers 2106.05957, arXiv.org, revised Dec 2022.
    13. Gerelt Tserenjigmid, 2021. "The Order-Dependent Luce Model," Management Science, INFORMS, vol. 67(11), pages 6915-6933, November.
    14. Duffy, Sean & Gussman, Steven & Smith, John, 2021. "Visual judgments of length in the economics laboratory: Are there brains in stochastic choice?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    15. Apesteguia, Jose & Ballester, Miguel A., 2023. "Random utility models with ordered types and domains," Journal of Economic Theory, Elsevier, vol. 211(C).
    16. Gibbard, Peter, 2021. "Disentangling preferences and limited attention: Random-utility models with consideration sets," Journal of Mathematical Economics, Elsevier, vol. 94(C).
    17. Bhattacharya, Mihir & Mukherjee, Saptarshi & Sonal, Ruhi, 2021. "Frame-based stochastic choice rule," Journal of Mathematical Economics, Elsevier, vol. 97(C).
    18. Duffy, Sean & Smith, John, 2020. "An economist and a psychologist form a line: What can imperfect perception of length tell us about stochastic choice?," MPRA Paper 99417, University Library of Munich, Germany.
    19. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
    20. 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).
    21. Caliari, Daniele, 2023. "Behavioural welfare analysis and revealed preference: Theory and experimental evidence," Discussion Papers, Research Unit: Economics of Change SP II 2023-303, WZB Berlin Social Science Center.
    22. Eileen Tipoe & Abi Adams & Ian Crawford, 2022. "Revealed preference analysis and bounded rationality [Consume now or later? Time inconsistency, collective choice and revealed preference]," Oxford Economic Papers, Oxford University Press, vol. 74(2), pages 313-332.
    23. 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.
    24. Yegane, Ece, 2022. "Stochastic choice with limited memory," Journal of Economic Theory, Elsevier, vol. 205(C).
    25. Nail Kashaev & Victor H. Aguiar & Martin Pl'avala & Charles Gauthier, 2023. "Dynamic and Stochastic Rational Behavior," Papers 2302.04417, arXiv.org, revised Aug 2023.
    26. Davide Carpentiere & Angelo Petralia, 2023. "Identification of consideration sets from choice data," Papers 2302.00978, arXiv.org, revised Mar 2024.
    27. Edward Honda, 2021. "Categorical consideration and perception complementarity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(2), pages 693-716, March.

Articles

  1. Yusufcan Masatlioglu & Elchin Suleymanov, 2021. "Decision making within a product network," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(1), pages 185-209, February.

    Cited by:

    1. Matthew Kovach & Elchin Suleymanov, 2021. "Reference Dependence and Random Attention," Papers 2106.13350, arXiv.org, revised Mar 2023.
    2. Chadd, Ian, 2023. "Random network consideration: Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 251-269.
    3. Alvaro Sandroni & Leo Katz, 2024. "The leveling axiom," Theory and Decision, Springer, vol. 96(1), pages 135-152, February.
    4. Teruyoshi Kobayashi & Tomokatsu Onaga, 2023. "Dynamics of diffusion on monoplex and multiplex networks: a message-passing approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(1), pages 251-287, July.

  2. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2020. "A Random Attention Model," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2796-2836.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MIC: Microeconomics (2) 2017-12-18 2021-07-12. Author is listed
  2. NEP-UPT: Utility Models and Prospect Theory (2) 2017-12-18 2021-07-12. Author is listed
  3. NEP-DCM: Discrete Choice Models (1) 2021-07-12. Author is listed
  4. NEP-ECM: Econometrics (1) 2017-12-18. Author is listed

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