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Correcting for endogeneity in behavioral choice models with social influence variables

  • Walker, Joan L.
  • Ehlers, Emily
  • Banerjee, Ipsita
  • Dugundji, Elenna R.
Registered author(s):

    While psychologists and behavioral economists emphasize the importance of social influences, an outstanding issue is how to capture such influences in behavioral models used to inform urban planning and policy. In this paper we focus on operational models that do not require explicit knowledge of the individual networks of decision makers. We employ a field effect variable to capture social influences, which is calculated as the percent of population in the peer group that has chosen the specific alternative. We define the peer group based on socio-economic status and spatial proximity of residential location. As in behavioral economics and psychology, the concept is that one is influenced by the choices made by one's peers. However, using such a social influence variable in a behavioral model causes complications because it is likely endogenous; unobserved factors that impact the peer group also influence the decision maker, yielding correlation between the field effect variable and the error. The contribution of this paper is the use of the Berry, Levinsohn, and Pakes (BLP) method to correct the endogeneity in a choice model. The two-stage BLP introduces constants for each peer group to remove the endogeneity from the choice model (where it is difficult to deal with) and insert it into a linear regression model (where endogeneity is relatively easier to deal with). We test the method using a mode choice data set from the Netherlands and readily available software and find there is an upward bias of the field effect parameter when endogeneity is not corrected. The procedure outlined presents a practical and tractable method for incorporating social influences in choice models.

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    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 45 (2011)
    Issue (Month): 4 (May)
    Pages: 362-374

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    Handle: RePEc:eee:transa:v:45:y:2011:i:4:p:362-374
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    1. Antonio P�ez & Darren M Scott, 2007. "Social influence on travel behavior: a simulation example of the decision to telecommute," Environment and Planning A, Pion Ltd, London, vol. 39(3), pages 647-665, March.
    2. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    3. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
    4. William A. Brock & Steven N. Durlauf, 2002. "A Multinomial-Choice Model of Neighborhood Effects," American Economic Review, American Economic Association, vol. 92(2), pages 298-303, May.
    5. repec:cup:cbooks:9780521766555 is not listed on IDEAS
    6. Manski, Charles F, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 531-42, July.
    7. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
    8. McFadden, Daniel L., 2000. "Economic Choices," Nobel Prize in Economics documents 2000-6, Nobel Prize Committee.
    9. 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.
    10. Kenneth E. Train & Clifford Winston, 2007. "Vehicle Choice Behavior And The Declining Market Share Of U.S. Automakers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1469-1496, November.
    11. Sivaramakrishnan Srinivasan & Chandra Bhat, 2005. "Modeling household interactions in daily in-home and out-of-home maintenance activity participation," Transportation, Springer, vol. 32(5), pages 523-544, 09.
    12. Brock,W.A. & Durlauf,S.N., 2000. "Discrete choice with social interactions," Working papers 7, Wisconsin Madison - Social Systems.
    13. Mark Bradley & Peter Vovsha, 2005. "A model for joint choice of daily activity pattern types of household members," Transportation, Springer, vol. 32(5), pages 545-571, 09.
    14. Scott, Darren M. & Kanaroglou, Pavlos S., 2002. "An activity-episode generation model that captures interactions between household heads: development and empirical analysis," Transportation Research Part B: Methodological, Elsevier, vol. 36(10), pages 875-896, December.
    15. John Gliebe & Frank Koppelman, 2005. "Modeling household activity–travel interactions as parallel constrained choices," Transportation, Springer, vol. 32(5), pages 449-471, 09.
    16. Arentze, Theo A. & Timmermans, Harry J.P., 2009. "A need-based model of multi-day, multi-person activity generation," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 251-265, February.
    17. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-59, July.
    18. Elenna Dugundji & Antonio P�ez & Theo Arentze, 2008. "Social networks, choices, mobility, and travel," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 956-960, November.
    19. 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.
    20. Juan Antonio Carrasco & Bernie Hogan & Barry Wellman & Eric J Miller, 2008. "Collecting social network data to study social activity-travel behavior: an egocentric approach," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 961-980, November.
    21. J. Miguel Villas-Boas & Russell S. Winer, 1999. "Endogeneity in Brand Choice Models," Management Science, INFORMS, vol. 45(10), pages 1324-1338, October.
    22. Antonio P�ez & Darren M Scott & Erik Volz, 2008. "A discrete-choice approach to modeling social influence on individual decision making," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 1055-1069, November.
    23. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July.
    24. Elenna R Dugundji & L�szl� Guly�s, 2008. "Sociodynamic discrete choice on networks in space: impacts of agent heterogeneity on emergent outcomes," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 1028-1054, November.
    25. Masanao Aoki, 1995. "Economic Fluctuations With Interactive Agents: Dynamic And Stochastic Externalities," The Japanese Economic Review, Japanese Economic Association, vol. 46(2), pages 148-165, 06.
    26. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, September.
    27. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    28. K W Axhausen, 2008. "Social networks, mobility biographies, and travel: survey challenges," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 981-996, November.
    29. Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
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