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Social Networks and Choice Set Formation in Discrete Choice Models

Author

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  • Bruno Wichmann

    (Department of Resource Economics and Environmental Sociology, University of Alberta, 214F Agriculture/Forestry Ctr, Edmonton, AB, Canada T6G 2P5)

  • Minjie Chen

    (Department of Resource Economics and Environmental Sociology, University of Alberta, 214F Agriculture/Forestry Ctr, Edmonton, AB, Canada T6G 2P5)

  • Wiktor Adamowicz

    (Department of Resource Economics and Environmental Sociology, University of Alberta, 214F Agriculture/Forestry Ctr, Edmonton, AB, Canada T6G 2P5)

Abstract

The discrete choice literature has evolved from the analysis of a choice of a single item from a fixed choice set to the incorporation of a vast array of more complex representations of preferences and choice set formation processes into choice models. Modern discrete choice models include rich specifications of heterogeneity, multi-stage processing for choice set determination, dynamics, and other elements. However, discrete choice models still largely represent socially isolated choice processes —individuals are not affected by the preferences of choices of other individuals. There is a developing literature on the impact of social networks on preferences or the utility function in a random utility model but little examination of such processes for choice set formation. There is also emerging evidence in the marketplace of the influence of friends on choice sets and choices. In this paper we develop discrete choice models that incorporate formal social network structures into the choice set formation process in a two-stage random utility framework. We assess models where peers may affect not only the alternatives that individuals consider or include in their choice sets, but also consumption choices. We explore the properties of our models and evaluate the extent of “errors” in assessment of preferences, economic welfare measures and market shares if network effects are present, but are not accounted for in the econometric model. Our results shed light on the importance of the evaluation of peer or network effects on inclusion/exclusion of alternatives in a random utility choice framework.

Suggested Citation

  • Bruno Wichmann & Minjie Chen & Wiktor Adamowicz, 2016. "Social Networks and Choice Set Formation in Discrete Choice Models," Econometrics, MDPI, vol. 4(4), pages 1-26, October.
  • Handle: RePEc:gam:jecnmx:v:4:y:2016:i:4:p:42-:d:81531
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    as
    1. Chowdhury, Subhasish M. & Jeon, Joo Young, 2014. "Impure altruism or inequality aversion?: An experimental investigation based on income effects," Journal of Public Economics, Elsevier, vol. 118(C), pages 143-150.
    2. Péter Esö & Lucy White, 2004. "Precautionary Bidding in Auctions," Econometrica, Econometric Society, vol. 72(1), pages 77-92, January.
    3. Attila Ambrus & Markus Mobius & Adam Szeidl, 2014. "Consumption Risk-Sharing in Social Networks," American Economic Review, American Economic Association, vol. 104(1), pages 149-182, January.
    4. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    5. Patacchini, Eleonora & Venanzoni, Giuseppe, 2014. "Peer effects in the demand for housing quality," Journal of Urban Economics, Elsevier, vol. 83(C), pages 6-17.
    6. Fafchamps, Marcel & Gubert, Flore, 2007. "The formation of risk sharing networks," Journal of Development Economics, Elsevier, vol. 83(2), pages 326-350, July.
    7. Dean Karlan & Markus Mobius & Tanya Rosenblat & Adam Szeidl, 2009. "Trust and Social Collateral," The Quarterly Journal of Economics, Oxford University Press, vol. 124(3), pages 1307-1361.
    8. Duflo, Esther & Saez, Emmanuel, 2002. "Participation and investment decisions in a retirement plan: the influence of colleagues' choices," Journal of Public Economics, Elsevier, vol. 85(1), pages 121-148, July.
    9. Li, Lianhua & Adamowicz, Wiktor & Swait, Joffre, 2015. "The effect of choice set misspecification on welfare measures in random utility models," Resource and Energy Economics, Elsevier, vol. 42(C), pages 71-92.
    10. Haab, Timothy C. & Hicks, Robert L., 1997. "Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 127-147, October.
    11. repec:dau:papers:123456789/4392 is not listed on IDEAS
    12. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 235-260.
    13. Lung-fei Lee & Ji Li & Xu Lin, 2014. "Binary Choice Models with Social Network under Heterogeneous Rational Expectations," The Review of Economics and Statistics, MIT Press, vol. 96(3), pages 402-417, July.
    14. Peter Kooreman & Adriaan R. Soetevent, 2007. "A discrete-choice model with social interactions: with an application to high school teen behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 599-624.
    15. Joffre Swait & Tülin Erdem, 2007. "Brand Effects on Choice and Choice Set Formation Under Uncertainty," Marketing Science, INFORMS, vol. 26(5), pages 679-697, 09-10.
    16. Michelle Sovinsky Goeree, 2008. "Limited Information and Advertising in the U.S. Personal Computer Industry," Econometrica, Econometric Society, vol. 76(5), pages 1017-1074, September.
    17. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    18. Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, and Unidimensional Opinions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 909-968.
    19. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    20. Rabin, Matthew, 1993. "Incorporating Fairness into Game Theory and Economics," American Economic Review, American Economic Association, vol. 83(5), pages 1281-1302, December.
    21. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    22. Timothy J. Richards & Stephen F. Hamilton & William J. Allender, 2014. "Social Networks and New Product Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(2), pages 489-516.
    23. Wilbert van der Klaauw, 2012. "On the Use of Expectations Data in Estimating Structural Dynamic Choice Models," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 521-554.
    24. Kfir Eliaz & Ran Spiegler, 2011. "Consideration Sets and Competitive Marketing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 235-262.
    25. Habib, Khandker Nurul & Morency, Catherine & Trépanier, Martin & Salem, Sarah, 2013. "Application of an independent availability logit model (IAL) for route choice modelling: Considering bridge choice as a key determinant of selected routes for commuting in Montreal," Journal of choice modelling, Elsevier, vol. 9(C), pages 14-26.
    26. Andreoni, James, 1990. "Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving?," Economic Journal, Royal Economic Society, vol. 100(401), pages 464-477, June.
    27. Draganska, Michaela & Klapper, Daniel, 2010. "Choice Set Heterogeneity and the Role of Advertising: An Analysis with Micro and Macro Data," Research Papers 2063, Stanford University, Graduate School of Business.
    28. Swait, Joffre & Ben-Akiva, Moshe, 1987. "Empirical test of a constrained choice discrete model: Mode choice in São Paulo, Brazil," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 103-115, April.
    29. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    30. Swait, Joffre & Ben-Akiva, Moshe, 1987. "Incorporating random constraints in discrete models of choice set generation," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 91-102, April.
    31. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
    32. Martínez, Francisco & Aguila, Felipe & Hurtubia, Ricardo, 2009. "The constrained multinomial logit: A semi-compensatory choice model," Transportation Research Part B: Methodological, Elsevier, vol. 43(3), pages 365-377, March.
    33. Neilson, William & Wichmann, Bruno, 2014. "Social networks and non-market valuations," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 155-170.
    34. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    35. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
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    4. Fredrik Jansson & Gunn Elisabeth Birkelund & Mats Lillehagen, 2020. "Segregation within school classes: Detecting social clustering in choice data," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-27, June.

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