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An indirect latent informational conformity social influence choice model: Formulation and case study

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  • Maness, Michael
  • Cirillo, Cinzia

Abstract

The current state-of-the-art in social influence models of travel behavior is conformity models with direct benefit social influence effects; indirect effects have seen limited development. This paper presents a latent class discrete choice model of an indirect informational conformity hypothesis. Class membership depends on the proportion of group members who adopt a behavior. Membership into the “more informed” class causes taste variation in those individuals thus making adoption more attractive. Equilibrium properties are derived for the informational conformity model showing the possibility of multiple equilibria but under different conditions than the direct-benefit formulations. Social influence elasticity is computed for both models types and non-linear elasticity behavior is represented. Additionally, a two-stage control function is developed to obtain consistent parameter estimates in the presence of an endogenous class membership model covariate that is correlated with choice utility unobservables. The modeling framework is applied in a case study on social influence for bicycle ownership in the United States. Results showed that “more informed” households had a greater chance of owning a bike due to taste variation. These households were less sensitive to smaller home footprints and limited incomes. The behavioral hypothesis of positive preference change due to information transfer was confirmed. Observed ownership share closely matched predicted local-level equilibrium in some metropolitan areas, but the model was unable to fully achieve the expected prediction rates within confidence intervals. The elasticity of social influence was found to range locally from about 0.5% to 1.0%.

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  • Maness, Michael & Cirillo, Cinzia, 2016. "An indirect latent informational conformity social influence choice model: Formulation and case study," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 75-101.
    • Handle: RePEc:eee:transb:v:93:y:2016:i:pa:p:75-101
    DOI: 10.1016/j.trb.2016.07.008
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    as
    1. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Dur, Robert & Sol, Joeri, 2010. "Social interaction, co-worker altruism, and incentives," Games and Economic Behavior, Elsevier, vol. 69(2), pages 293-301, July.
    3. Rachel Weinberger & Frank Goetzke, 2010. "Unpacking Preference: How Previous Experience Affects Auto Ownership in the United States," Urban Studies, Urban Studies Journal Limited, vol. 47(10), pages 2111-2128, September.
    4. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    5. Wu, Lingling & Zhang, Junyi & Chikaraishi, Makoto, 2013. "Representing the influence of multiple social interactions on monthly tourism participation behavior," Tourism Management, Elsevier, vol. 36(C), pages 480-489.
    6. 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.
    7. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    8. Lawrence E. Blume & William A. Brock & Steven N. Durlauf & Yannis M. Ioannides, 2010. "Identification of Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0754, Department of Economics, Tufts University.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    10. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    11. Walker, Joan L. & Ehlers, Emily & Banerjee, Ipsita & Dugundji, Elenna R., 2011. "Correcting for endogeneity in behavioral choice models with social influence variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 362-374, May.
    12. Stephane Hess, 2014. "Latent class structures: taste heterogeneity and beyond," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 14, pages 311-330, Edward Elgar Publishing.
    13. 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.
    14. Sherwin, Henrietta & Chatterjee, Kiron & Jain, Juliet, 2014. "An exploration of the importance of social influence in the decision to start bicycling in England," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 32-45.
    15. Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), 2010. "Progress in Spatial Analysis," Advances in Spatial Science, Springer, number 978-3-642-03326-1, Fall.
    16. Elenna R Dugundji & László Gulyás, 2008. "Sociodynamic Discrete Choice on Networks in Space: Impacts of Agent Heterogeneity on Emergent Outcomes," Environment and Planning B, , vol. 35(6), pages 1028-1054, December.
    17. Arne Henningsen & Ott Toomet, 2011. "maxLik: A package for maximum likelihood estimation in R," Computational Statistics, Springer, vol. 26(3), pages 443-458, September.
    18. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    19. William A. Brock & Steven N. Durlauf, 2010. "Adoption Curves and Social Interactions," Journal of the European Economic Association, MIT Press, vol. 8(1), pages 232-251, March.
    20. Jonn Axsen & Kenneth S Kurani, 2012. "Interpersonal Influence within Car Buyers' Social Networks: Applying Five Perspectives to Plug-in Hybrid Vehicle Drivers," Environment and Planning A, , vol. 44(5), pages 1047-1065, May.
    21. Frank Goetzke & Rachel Weinberger, 2012. "Separating Contextual from Endogenous Effects in Automobile Ownership Models," Environment and Planning A, , vol. 44(5), pages 1032-1046, May.
    22. Fukuda, Daisuke & Morichi, Shigeru, 2007. "Incorporating aggregate behavior in an individual's discrete choice: An application to analyzing illegal bicycle parking behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 313-325, May.
    23. Wang, Chih-Hao & Akar, Gulsah & Guldmann, Jean-Michel, 2015. "Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University," Journal of Transport Geography, Elsevier, vol. 42(C), pages 122-130.
    24. Susan Handy & Yan Xing & Theodore Buehler, 2010. "Factors associated with bicycle ownership and use: a study of six small U.S. cities," Transportation, Springer, vol. 37(6), pages 967-985, November.
    25. Wilton, Robert D. & Páez, Antonio & Scott, Darren M., 2011. "Why do you care what other people think? A qualitative investigation of social influence and telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 269-282, May.
    26. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    27. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331.
    28. Mark Grinblatt & Matti Keloharju & Seppo Ikäheimo, 2008. "Social Influence and Consumption: Evidence from the Automobile Purchases of Neighbors," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 735-753, November.
    29. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    30. Jinyong Hahn & Jerry Hausman, 2003. "Weak Instruments: Diagnosis and Cures in Empirical Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 118-125, May.
    31. Baltas, George & Saridakis, Charalampos, 2013. "An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 92-110.
    32. Frank Goetzke & Patrick M. Andrade, 2010. "Walkability as a Summary Measure in a Spatially Autoregressive Mode Choice Model: An Instrumental Variable Approach," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 217-229, Springer.
    33. Frank Goetzke & Tilmann Rave, 2011. "Bicycle Use in Germany: Explaining Differences between Municipalities with Social Network Effects," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 427-437, February.
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