Papers
Topics
Authors
Recent
Search
2000 character limit reached

Peer Effects in Consideration and Preferences

Published 18 Oct 2023 in econ.GN and q-fin.EC | (2310.12272v2)

Abstract: We develop a general model of discrete choice that incorporates peer effects in preferences and consideration sets. We characterize the equilibrium behavior and establish conditions under which all parts of the model can be recovered from a sequence of choices. We allow peers to affect only preferences, only consideration, or both. We show that these peer-effect mechanisms have different behavioral implications in the data. This allows us to recover the set and the type of connections between the agents in the network. We then use this information to recover the preferences and the consideration mechanisms of each agent. These nonparametric identification results allow for general forms of heterogeneity across agents and do not rely on the variation of either exogenous covariates or the set of available options (menus). We apply our results to model expansion decisions by coffee chains and find evidence of limited consideration. We simulate counterfactual predictions and show how limited consideration slows down competition.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (74)
  1. Abaluck, Jason and Abi Adams-Prassl (2021) “What do consumers consider before they choose? Identification from asymmetric demand responses,” The Quarterly Journal of Economics, 136 (3), 1611–1663.
  2. Agranov, Marina, Matt Elliott, and Pietro Ortoleva (2021) “The importance of Social Norms against Strategic Effects: The case of Covid-19 vaccine uptake,” Economics Letters, 206, 109979.
  3. Aguiar, Victor H (2017) “Random categorization and bounded rationality,” Economics Letters, 159, 46–52.
  4. Aguiar, Victor H., Maria Jose Boccardi, and Mark Dean (2016) “Satisficing and stochastic choice,” Journal of Economic Theory, 166, 445 – 482, https://doi.org/10.1016/j.jet.2016.08.008.
  5. Aguiar, Victor H, Maria Jose Boccardi, Nail Kashaev, and Jeongbin Kim (2023) “Random utility and limited consideration,” Quantitative Economics, 14 (1), 71–116.
  6. Aguiar, Victor H r⃝ Nail Kashaev (2021) “Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets.”
  7. Allen, Roy and John Rehbeck (2022) “Latent complementarity in bundles models,” Journal of Econometrics, 228 (2), 322–341.
  8.     (2023) “Latent Utility and Permutation Invariance: A Revealed Preference Approach,” Available at SSRN 4340420.
  9. Arcidiacono, Peter, Patrick Bayer, Jason R Blevins, and Paul B Ellickson (2016) “Estimation of dynamic discrete choice models in continuous time with an application to retail competition,” The Review of Economic Studies, 83 (3), 889–931.
  10. Armstrong, Mark and Steffen Huck (2010) “Behavioral economics as applied to firms: A primer.”
  11. Barseghyan, Levon, Maura Coughlin, Francesca Molinari, and Joshua C Teitelbaum (2021a) “Heterogeneous choice sets and preferences,” Econometrica, 89 (5), 2015–2048.
  12. Barseghyan, Levon, Francesca Molinari, and Matthew Thirkettle (2021b) “Discrete choice under risk with limited consideration,” American Economic Review, 111 (6), 1972–2006.
  13. Blevins, Jason R (2017) “Identifying restrictions for finite parameter continuous time models with discrete time data,” Econometric Theory, 33 (3), 739–754.
  14.     (2018) “Identification and estimation of continuous time dynamic discrete choice games,”Technical report, Mimeo, Ohio State University.
  15. Blume, Lawrence E (1993) “The statistical mechanics of strategic interaction,” Games and economic behavior, 5 (3), 387–424.
  16.     (1995) “The statistical mechanics of best-response strategy revision,” Games and Economic Behavior, 11 (2), 111–145.
  17. Blume, Lawrence E, William A Brock, Steven N Durlauf, and Yannis M Ioannides (2011) “Identification of social interactions,” in Handbook of social economics, 1, 853–964: Elsevier.
  18. Blume, Lawrence E, William A Brock, Steven N Durlauf, and Rajshri Jayaraman (2015) “Linear social interactions models,” Journal of Political Economy, 123 (2), 444–496.
  19. Bonaldi, Pietro, Ali Hortaçsu, and Jakub Kastl (2015) “An empirical analysis of funding costs spillovers in the euro-zone with application to systemic risk,”Technical report, National Bureau of Economic Research.
  20. Bonhomme, Stéphane, Koen Jochmans, and Jean-Marc Robin (2016) “Non-parametric estimation of finite mixtures from repeated measurements,” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 78 (1), 211–229.
  21. Borah, Abhinash and Christopher Kops (2018) “Choice via Social Influence,”Technical report, Mimeo.
  22. Brady, Richard L and John Rehbeck (2016) “Menu-Dependent Stochastic Feasibility,” Econometrica, 84 (3), 1203–1223.
  23. Bramoullé, Yann, Habiba Djebbari, and Bernard Fortin (2020) “Peer effects in networks: A survey,” Annual Review of Economics, 12, 603–629.
  24. Caeyers, Bet (2014) “Peer effects in development programme awareness of vulnerable groups in rural Tanzania,”Technical report, Centre for the Study of African Economies, University of Oxford.
  25. Caplin, Andrew, Mark Dean, and John Leahy (2019) “Rational inattention, optimal consideration sets, and stochastic choice,” The Review of Economic Studies, 86 (3), 1061–1094.
  26. Cattaneo, Matias D, Xinwei Ma, Yusufcan Masatlioglu, and Elchin Suleymanov (2020) “A random attention model,” Journal of Political Economy, 128 (7), 2796–2836.
  27. Chambers, Christopher P, Tugce Cuhadaroglu, and Yusufcan Masatlioglu (2023) “Behavioral influence,” Journal of the European Economic Association, 21 (1), 135–166.
  28. Conlon, Christopher T and Julie Holland Mortimer (2013) “Demand estimation under incomplete product availability,” American Economic Journal: Microeconomics, 5 (4), 1–30.
  29. Crawford, Gregory S, Rachel Griffith, and Alessandro Iaria (2021) “A survey of preference estimation with unobserved choice set heterogeneity,” Journal of Econometrics, 222 (1), 4–43.
  30. Dardanoni, Valentino, Paola Manzini, Marco Mariotti, and Christopher J Tyson (2020) “Inferring cognitive heterogeneity from aggregate choices,” Econometrica, 88 (3), 1269–1296.
  31. De Paula, Aureo (2017) “Econometrics of network models,” in Advances in Economics and Econometrics: Theory and Applications, Eleventh World Congress, 268–323, Cambridge University Press Cambridge.
  32. De Paula, Áureo, Imran Rasul, and Pedro Souza (2023) “Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition,” The Review of Economic Studies, forthcoming.
  33. Draganska, Michaela and Daniel Klapper (2011) “Choice set heterogeneity and the role of advertising: An analysis with micro and macro data,” Journal of Marketing Research, 48 (4), 653–669.
  34. Duflo, Esther and Emmanuel Saez (2003) “The role of information and social interactions in retirement plan decisions: Evidence from a randomized experiment,” The Quarterly journal of economics, 118 (3), 815–842.
  35. Dunker, Fabian, Stefan Hoderlein, and Hiroaki Kaido (2017) “Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models,”Technical report, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  36. Enikolopov, Ruben, Alexey Makarin, and Maria Petrova (2020) “Social media and protest participation: Evidence from Russia,” Econometrica, 88 (4), 1479–1514.
  37. Fox, Jeremy T and Natalia Lazzati (2017) “A note on identification of discrete choice models for bundles and binary games,” Quantitative Economics, 8 (3), 1021–1036.
  38. Gaynor, Martin, Carol Propper, and Stephan Seiler (2016) “Free to choose? Reform, choice, and consideration sets in the English National Health Service,” American Economic Review, 106 (11), 3521–57.
  39. Gentzkow, Matthew (2007) “Valuing new goods in a model with complementarity: Online newspapers,” American Economic Review, 97 (3), 713–744.
  40. Godes, David and Dina Mayzlin (2004) “Using online conversations to study word-of-mouth communication,” Marketing science, 23 (4), 545–560.
  41. Goeree, Michelle Sovinsky (2008) “Limited information and advertising in the US personal computer industry,” Econometrica, 76 (5), 1017–1074.
  42. Graham, Bryan S (2015) “Methods of identification in social networks,” Annu. Rev. Econ., 7 (1), 465–485.
  43. Hall, Peter and Xiao-Hua Zhou (2003) “Nonparametric estimation of component distributions in a multivariate mixture,” The annals of statistics, 31 (1), 201–224.
  44. Härdle, Wolfgang, Helmut Lütkepohl, and Rong Chen (1997) “A review of nonparametric time series analysis,” International statistical review, 65 (1), 49–72.
  45. Heidhues, Paul and Botond Kőszegi (2018) “Behavioral industrial organization,” Handbook of Behavioral Economics: Applications and Foundations 1, 1, 517–612.
  46. Holmes, Thomas J (2011) “The diffusion of Wal-Mart and economies of density,” Econometrica, 79 (1), 253–302.
  47. Horan, Sean (2019) “Random consideration and choice: A case study of “default” options,” Mathematical Social Sciences, 102, 73–84.
  48. Houde, Jean-François, Peter Newberry, and Katja Seim (2023) “Nexus Tax Laws and Economies of Density in E-Commerce: A Study of Amazon’s Fulfillment Center Network,” Econometrica, 91 (1), 147–190, https://doi.org/10.3982/ECTA15265.
  49. Hu, Yingyao (2008) “Identification and estimation of nonlinear models with misclassification error using instrumental variables: A general solution,” Journal of Econometrics, 144 (1), 27–61.
  50. Iaria, Alessandro and Ao Wang (2020) “Identification and estimation of demand for bundles.”
  51. Jia, Panle (2008) “What happens when Wal-Mart comes to town: An empirical analysis of the discount retailing industry,” Econometrica, 76 (6), 1263–1316.
  52. Kasahara, Hiroyuki and Katsumi Shimotsu (2009) “Nonparametric identification of finite mixture models of dynamic discrete choices,” Econometrica, 77 (1), 135–175.
  53. Kashaev, Nail (2023) “Identification and estimation of multinomial choice models with latent special covariates,” Journal of Business & Economic Statistics, 41 (3), 695–707.
  54. Kashaev, Nail r⃝ Victor H. Aguiar (2022) “A random attention and utility model,” Journal of Economic Theory, 204, 105487, https://doi.org/10.1016/j.jet.2022.105487.
  55. Kashaev, Nail and Natalia Lazzati (2019) “Peer effects in random consideration sets,” arXiv preprint arXiv:1904.06742.
  56. Kitagawa, Toru and Guanyi Wang (2023) “Individualized Treatment Allocation in Sequential Network Games.”
  57. Kitamura, Yuichi and Louise Laage (2018) “Nonparametric analysis of finite mixtures,” arXiv preprint arXiv:1811.02727.
  58. Lazzati, Natalia (2020) “Co-Diffusion of Technologies in Social Networks,” American Economic Journal: Microeconomics, 12, 193–228.
  59. Lee, Sang Yup (2015) “Interpersonal influence on online game choices,” Computers in Human Behavior, 45, 129–136.
  60. Lewbel, Arthur, Xi Qu, and Xun Tang (2023) “Social networks with unobserved links,” Journal of Political Economy, 131 (4), 898–946.
  61. Lleras, Juan Sebastian, Yusufcan Masatlioglu, Daisuke Nakajima, and Erkut Y Ozbay (2017) “When more is less: Limited consideration,” Journal of Economic Theory, 170, 70–85.
  62. Manresa, Elena (2013) “Estimating the structure of social interactions using panel data,” Unpublished Manuscript. CEMFI, Madrid.
  63. Manski, Charles F (1977) “The structure of random utility models,” Theory and decision, 8 (3), 229–254.
  64.     (2000) “Economic analysis of social interactions,” Journal of economic perspectives, 14 (3), 115–136.
  65. Manzini, Paola and Marco Mariotti (2014) “Stochastic choice and consideration sets,” Econometrica, 82 (3), 1153–1176.
  66. Masatlioglu, Yusufcan, Daisuke Nakajima, and Erkut Y. Ozbay (2012) “Revealed Attention,” American Economic Review, 102 (5), 2183–2205, 10.1257/aer.102.5.2183.
  67. Mehta, Nitin, Surendra Rajiv, and Kannan Srinivasan (2003) “Price uncertainty and consumer search: A structural model of consideration set formation,” Marketing science, 22 (1), 58–84.
  68. Qiu, Liangfei, Zhan Shi, and Andrew B Whinston (2018) “Learning from your friends’ check-ins: An empirical study of location-based social networks,” Information Systems Research, 29 (4), 1044–1061.
  69. Roberts, John H and James M Lattin (1991) “Development and testing of a model of consideration set composition,” Journal of Marketing Research, 28 (4), 429–440.
  70. Simon, Herbert A (1945) Administrative behavior: Macmillan.
  71.     (1955) “A behavioral model of rational choice,” The quarterly journal of economics, 99–118.
  72. Wang, Rui (2023) “Testing and Identifying Substitution and Complementarity Patterns,” arXiv preprint arXiv:2304.00678.
  73. Yu, Xiaoyu Fisher (2023) “Bundle Choice with Limited Consideration: An Application to Yogurt Markets.”
  74. Zheng, Fanyin (2016) “Spatial competition and preemptive entry in the discount retail industry,” Columbia Business School Research Paper (16-37).
Citations (1)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Tweets

Sign up for free to view the 3 tweets with 8 likes about this paper.