Change of scale and forecasting with the control-function method in Logit Models

Transportation Science

Volumn 46, Issue 3, 2012, Pages 425-437

  Guevara, Cristian Angelo ^a   Ben Akiva, Moshe E ^b  

^a UNIVERSIDAD DE LOS ANDES   (Chile)

^b Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

Control function; Discrete choice; Endogeneity; Forecasting; Logit

Indexed keywords

TRANSPORTATION;

CONTROL FUNCTIONS; DISCRETE CHOICE; DISCRETE CHOICE MODELS; ENDOGENEITY; LOGIT; MODEL MISSPECIFICATION; RESIDENTIAL LOCATIONS; TRANSPORTATION RESEARCH;

FORECASTING;

EID: 84866346175     PISSN: 00411655     EISSN: 15265447     Source Type: Journal    
DOI: 10.1287/trsc.1110.0404     Document Type: Article

References (34)

1. Amemiya, T. 1978. The estimation of a simultaneous equation generalized probit model. Econometrica 46(5) 1193-1205.
2. Ben-Akiva, M., S. Lerman. 1985. Discrete Choice Analysis, Theory and Application to Travel Demand. MIT Press, Cambridge, MA.
3. Berry, S., J. Levinsohn, A. Pakes. 1995. Automobile prices in market equilibrium. Econometrica 63(4) 841-90.
4. Bhat, C., J. Guo. 2004. A mixed spatially correlated logit model: Formulation and application to residential choice modeling. Transportation Res. Part B 38(2) 147-168. (Pubitemid 37515110)
5. Chesher, A. 2010. Instrumental variables models for discrete outcomes. Econometrica 78(2) 575-601.
6. Cramer, J. 2007. Robustness of logit analysis: Unobserved heterogeneity and mis-specified disturbances. Oxford Bull. Econom. Statist. 69(4) 545-555.
7. Daly, A. 2008. Elasticity, model scale and error. Presented at the European Transport Conf., Leeuwenhorst, The Netherlands. Accessed December 2010, http://www.etcproceedings.org/.
8. Guevara, C. 2010. Endogeneity and sampling of alternatives in spatial choice models. Ph.D. Thesis, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA.
9. Guevara, C., M. Ben-Akiva. 2006. Endogeneity in residential location choice models. Transportation Res. Record 1977 60-66. (Pubitemid 46479318)
10. Hausman, J. 1978. Specification tests in econometrics. Econometrica 46(6) 1251-1272.
11. Hausman, J. 1996. Valuation of new goods under perfect and imperfect competition. T. F. Bresnahan, R. J. Gordon, eds. The Economics of New Goods, Studies in Income and Wealth, Vol. 58. National Bureau of Economic Research, Chicago, 207-248.
12. Heckman, J. 1978. Dummy endogenous variables in a simultaneous equation system. Econometrica 46(4) 931-959.
13. Jara-Díaz, S., C. Guevara. 2003. Behind the subjective value of travel time savings: The perception of work, leisure and travel from a joint mode choice - Activity model. J. Transport Econom. Policy 37(1) 29-46. (Pubitemid 36425405)
14. Karaca-Mandic, P., K. Train. 2003. Standard error correction in two-stage estimation with nested samples. Econometrics J. 6(2) 401-407.
15. Lee, L. 1982. Specification error in multinomial logit models. J. Econometrics 20(2) 197-209.
16. Levine, J. 1998. Rethinking accessibility and jobs-housing balance. J. Amer. Planning Assoc. 64(2) 133-149. (Pubitemid 28453774)
17. Martínez, F., R. Henríquez. 2007. The RB&SM: A random bidding and supply land use equilibrium model. Transportation Res. B 41(6) 632-651. (Pubitemid 46395051)
18. Martinez, L., J. Viegas. 2009. Effects of transportation accessibility on residential property values: A hedonic price model in the Lisbon metropolitan area. Transportation Res. Record 2115 127-137.
19. Martinez, L., J. Abreu, J. Viegas. 2010. Assessment of residential location satisfaction in Lisbon metropolitan area. Presented at The 89th Transportation Res. Board Annual Meeting, Washington, DC, Conference DVD. http://pubsindex.trb.org/orderform.html.
20. Nevo, A. 2001. Measuring market power in the ready-to-eat cereal industry. Econometrica 69(2) 307-342. (Pubitemid 33645351)
21. Newey, W. 1985. Semiparametric estimation of limited dependent variable models with endogenous explanatory variables. Annales de L'insee 59/60 219-237.
22. Park, S., S. Gupta. 2009. A simulated maximum likelihood estimator for the random coefficient logit model using aggregate data. J. Marketing Res. 46(4) 531-542.
23. Petrin, A., K. Train. 2003. Omitted product attributes in discrete choice models. NBER Working Papers 9452, National Bureau of Economic Research, Inc.
24. Quigley, J. 1976. Housing demand in the short run: An analysis of polytomous choice. Explorations Econom. Res. 3(1) 76-102.
25. R Development Core Team. 2008. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Retrieved December 2010 from http://www.Rproject.org.
26. Rivers, D., Q. Vuong. 1988. Limited information estimators and exogeneity tests for simultaneous probit models. J. Econometrics 39(3) 347-366.
27. Ruud, P. 1983. Sufficient conditions for the consistency of maximum likelihood estimation despite misspecification of distribution in multinomial discrete models. Econometrica 51(1) 225-228.
28. Sermons, M., F. Koppelman. 2001. Representing the differences between female and male commute behavior in residential location choice models. J. Trans. Geography 9(2) 101-110. (Pubitemid 32456101)
29. Villas-Boas, A., R. Winer. 1999. Endogeneity in brand choice models. Management Sci. 45(10) 1324-1338. (Pubitemid 30529674)
30. Waddell, P. 1992. A multinomial logit model of race and urban structure. Urban Geography 13(2) 127-141.
31. Waddell, P., L. Wang, X. Liu. 2008. UrbanSim: An evolving planning support system for evolving communities. R. Brail, ed. Planning Support Systems for Cities and Regions. Lincoln Institute for Land Policy, Cambridge, MA, 103-138.
32. Walker, J., J. Li., S. Srinivasan, D. Bolduc. 2010. Travel demand models in the developing world: Correcting for measurement errors. Transportation Lett.: Internat. J. Transportation Res. 2(4) 231-243.
33. Wooldridge, J. 2002. Econometric Analysis of Cross-Section and Panel Data. MIT Press, Cambridge, MA.
34. Yatchew, A., Z. Griliches. 1985. Specification error in probit models. Rev. Econom. Statist. 67(1) 134-139.