On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables

Transportation Research Part B: Methodological

Volumn 94, Issue , 2016, Pages 240-263

  Bhat, Chandra R ^a,b   Pinjari, Abdul R ^c   Dubey, Subodh K ^d   Hamdi, Amin S ^b  

^a The University of Texas at Austin   (United States)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^c University of South Florida   (United States)

^d UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Latent variables; Maximum approximate composite marginal likelihood (MACML) estimation; Multidimensional mixed data models; Spatial econometrics

Indexed keywords

CRASHWORTHINESS; ECONOMICS; STATISTICS; TRANSPORTATION;

CAUSAL RELATIONSHIPS; INTEGRATED MODELING SYSTEM; LATENT VARIABLE; MAXIMUM APPROXIMATE COMPOSITE MARGINAL LIKELIHOODS; RESIDENTIAL LOCATIONS; SPATIAL DEPENDENCIES; SPATIAL ECONOMETRICS; SPATIAL INTERACTION;

MAXIMUM LIKELIHOOD ESTIMATION;

ECONOMETRICS; EMPIRICAL ANALYSIS; ESTIMATION METHOD; MAXIMUM LIKELIHOOD ANALYSIS; SPATIAL ANALYSIS;

EID: 85007518851     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2016.09.002     Document Type: Article

References (75)

1. Abraham, J., Hunt, J., Specification and estimation of nested logit model of home, workplaces, and commuter mode choices by multiple-worker households. Transport. Res. Record 1606 (1997), 17–24.
2. Aditjandra, P.T., Cao, X.J., Mulley, C., Understanding neighbourhood design impact on travel behaviour: an application of structural equations model to a British metropolitan data. Transport. Res. Part A 46:1 (2012), 22–32.
3. Alton, D., Adab, P., Roberts, L., Barrett, T., Relationship between walking levels and perceptions of the local neighbourhood environment. Arch. Dis. Child. 92:1 (2007), 29–33.
4. Anselin, L., Thirty years of spatial econometrics. Pap. Reg. Sci. 89:1 (2010), 3–25.
5. Arbia, G., A Primer for Spatial Econometrics. 2014, Palgrave MacMillan, Basingstoke.
6. Bauman, A.E., Reis, R.S., Sallis, J.F., Wells, J.C., Loos, R.J., Martin, B.W., Lancet Physical Activity Series Working Group. Correlates of physical activity: why are some people physically active and others not?. Lancet North Am. Ed. 380:9838 (2012), 258–271.
7. Belcher, B.R., Berrigan, D., Dodd, K.W., Emken, B.A., Chou, C.P., Spuijt-Metz, D., Physical activity in US youth: impact of race/ethnicity, age, gender, and weight status. Med. Sci. Sports Exerc., 42(12), 2010, 2211.
8. Beron, K.J., Vijverberg, W.P.M., Probit in a spatial context: a Monte Carlo analysis. Anselin, L., Florax, R.J.G.M., Rey, S.J., (eds.) Advances in Spatial Econometrics: Methodology, Tools and Applications, 2004, Springer-Verlag, Berlin, 169–196.
9. Bhat, C.R., The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models. Transport. Res. Part B 45:7 (2011), 923–939.
10. Bhat, C.R., The composite marginal likelihood (CML) inference approach with applications to discrete and mixed dependent variable models. Found. Trends Econ. 7:1 (2014), 1–117.
11. Bhat, C.R., A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables. Transport. Res. Part B 79 (2015), 50–77.
12. Bhat, C.R., A new spatial (social) interaction discrete choice model accommodating for unobserved effects due to endogenous network formation. Transportation 42:5 (2015), 879–914.
13. Bhat, C.R., A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation. Transport. Res. Part B 79 (2015), 161–188.
14. Bhat, C.R., Guo, J.Y., A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels. Transport. Res. Part B 41:5 (2007), 506–526.
15. Bhat, C.R., Sardesai, R., The impact of stop-making and travel time reliability on commute mode choice. Transport. Res. Part B 40:9 (2006), 709–730.
16. Bhat, C.R., Sen, S., Eluru, N., The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use. Transport. Res. Part B 43:1 (2009), 1–18.
17. Bhat, C.R., Sener, I.N., Eluru, N., A flexible spatially dependent discrete choice model: formulation and application to teenagers’ weekday recreational activity participation. Transport. Res. Part B 44:8-9 (2010), 903–921.
18. Bhat, C.R., Paleti, R., Singh, P., A spatial multivariate count model for firm location decisions. J. Reg. Sci. 54:3 (2014), 462–502.
19. Bhat, C.R., Astroza, S., Sidharthan, R., Alam, M.J.B., Khushefati, W.H., A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model. Transport. Res. Part B 68 (2014), 31–51.
20. Bhat, C.R., Astroza, S., Bhat, A.C., Nagel, K., Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: application to residential self-selection effects analysis in an activity time-use behavior model. Transport. Res. Part B 91 (2016), 52–76.
21. Broberg, A., Sarjala, S., School travel mode choice and the characteristics of the urban built environment: the case of Helsinki, Finland. Transport Policy 37 (2015), 1–10.
22. Brownstone, D., Fang, H., A vehicle ownership and utilization choice model with endogenous residential density. J. Transport Land Use 7:2 (2014), 135–151.
23. Castro, M., Paleti, R., Bhat, C.R., A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections. Transport. Res. Part B 46:1 (2012), 253–272.
24. Castro, M., Paleti, R., Bhat, C.R., A spatial generalized ordered response model to examine highway crash injury severity. Accid. Anal. Prev. 52 (2013), 188–203.
25. Copperman, R., Bhat, C.R., An analysis of the determinants of children's weekend physical activity participation. Transportation 34:1 (2007), 67–87.
26. Cutler, D.M., Lleras-Muney, A., Education and Health: Evaluating Theories and Evidence (No. w12352). 2006, National Bureau of Economic Research.
27. De Leon, A.R., Chough, K.C., Analysis of Mixed Data: Methods & Applications. 2013, CRC Press, Taylor & Francis Group, Boca Raton, FL.
28. De Leon, A.R., Zhu, Y., ANOVA extensions for mixed discrete and continuous data. Comput. Stat. Data Anal. 52:4 (2008), 2218–2227.
29. Dworkin, S.L., Wachs, F.L., Body Panic: Gender, Health, and the Selling of Fitness. 2009, New York University Press, New York.
30. Elhorst, J.P., Applied spatial econometrics: raising the bar. Spatial Econ. Anal. 5:1 (2010), 9–28.
31. Elhorst, J.P., Abreu, M., Amaral, P., Bhattacharjee, A., Corrado, L., Fingleton, B., Fuerst, F., Garretsen, H., Igliori, D., Le Gallo, J., McCann, P., Monastiriotis, V., Pryce, G., Yu, J., Raising the bar (1). Spatial Econ. Anal. 11:1 (2016), 1–6.
32. Engelsrud, G., Aerobic exercise and health-A tenuous connection?. Folmarson, K.L., (eds.) Normality/Normativity, 2009, Center for Gender Research, University of Uppsala, 155–186.
33. Ewing, R., Schroeer, W., Greene, W., School location and student travel analysis of factors affecting mode choice. Transport. Res. Record 1895 (2004), 55–63.
34. Ferdous, N., Bhat, C.R., A spatial panel ordered-response model with application to the analysis of urban land-use development intensity patterns. J. Geogr. Syst. 15:1 (2013), 1–29.
35. Franzese, R.J., Hays, J.C., Schaffer, L., Spatial, temporal, and spatiotemporal autoregressive probit models of binary outcomes: estimation, interpretation, and presentation. American Political Science Association 2010 Annual Meeting papers, 2010 August.
36. Heitzler, C., Lytle, L., Erickson, D., Sirard, J., Barr-Anderson, D., Story, M., Physical activity and sedentary activity patterns among children and adolescents: a latent class analysis approach. J. Phys. Activity Health, 8(4), 2011, 457.
37. Hoshino, T., Bentler, P.M., Bias in factor score regression and a simple solution. De Leon, A.R., Chough, K.C., (eds.) Analysis of Mixed Data: Methods & Applications, 2013, CRC Press, Taylor & Francis Group, Boca Raton, FL, 43–61.
38. Huitt, W., Maslow's hierarchy of needs. Educational Psychology Interactive, 2007, Valdosta State University, Valdosta, GA.
39. Kelly, J.A., Fu, M., Sustainable school commuting–understanding choices and identifying opportunities: a case study in Dublin, Ireland. J. Transport Geogr. 34 (2014), 221–230.
40. Klier, T., McMillen, D.P., Clustering of auto supplier plants in the U.S.: GMM spatial logit for large samples. ASA J. Bus. Econ. Stat. 26:4 (2008), 460–471.
41. LaMondia, J.J., Bhat, C.R., A study of visitors’ leisure travel behavior in the northwest territories of Canada. Transport. Lett. 3:1 (2011), 1–19.
42. LeSage, J.P., Pace, R.K., Introduction to Spatial Econometrics. 2009, Chapman & Hall/CRC, Taylor & Francis Group, Boca Raton.
43. Lin, J., Calif. commute times rank 10th longest in US. California Watch, 2012 Accessed on August 17, 2015, http://californiawatch.org/dailyreport/calif-commute-times-rank-10th-longest-us-18614.
44. Maddala, G.S., Limited Dependent and Qualitative Variables in Econometrics. 1983, Cambridge University Press, Cambridge, UK.
45. McDonald, N.C., Children's mode choice for the school trip: the role of distance and school location in walking to school. Transportation 35:1 (2008), 23–35.
46. McLean, C.P., Anderson, E.R., Brave men and timid women? A review of the gender differences in fear and anxiety. Clin. Psychol. Rev. 29:6 (2009), 496–505.
47. Narayanamoorthy, S., Paleti, R., Bhat, C.R., On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level. Transport. Res. Part B 55 (2013), 245–264.
48. Orthner, D.K., Jones‐Sanpei, H., Williamson, S., The resilience and strengths of low‐income families. Fam. Relat. 53:2 (2004), 159–167.
49. Paleti, R., Bhat, C.R., Pendyala, R.M., Goulias, K.G., Modeling of household vehicle type choice accommodating spatial dependence effects. Transport. Res. Record 2343 (2013), 86–94.
50. Paleti, R., Bhat, C.R., Pendyala, R.M., Integrated model of residential location, work location, vehicle ownership, and commute tour characteristics. Transport. Res. Record 2382 (2013), 162–172.
51. Petrin, A., Train, K., A control function approach to endogeneity in consumer choice models. J. Marketing Res. 47:1 (2010), 3–13.
52. Pinjari, A.R., Pendyala, R.M., Bhat, C.R., Waddell, P.A., Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions. Transportation 38:6 (2011), 933–958.
53. Pinjari, A.R., Eluru, N., Bhat, C.R., Pendyala, R.M., Spissu, E., Joint model of choice of residential neighborhood and bicycle ownership: accounting for self-selection and unobserved heterogeneity. Transport. Res. Record 2082 (2008), 17–26.
54. Pinkse, J., Slade, M.E., Contracting in space: an application of spatial statistics to discrete-choice models. J. Econometrics 85:1 (1998), 125–154.
55. Puhani, P., The Heckman correction for sample selection and its critique. J. Econ. Surveys 14:1 (2000), 53–68.
56. Rashidi, T.H., Auld, J., Mohammadian, A.K., A behavioral housing search model: two-stage hazard-based and multinomial logit approach to choice-set formation and location selection. Transport. Res. Part A 46:7 (2012), 1097–1107.
57. Saffer, H., Dave, D.M., Grossman, M., Racial, Ethnic and Gender Differences in Physical Activity. 2011, National Bureau of Economic Research, Cambridge, MA NBER Working Paper No. 17413.
58. Seccombe, K., “Beating the odds” versus “changing the odds”: poverty, resilience, and family policy. J. Marriage Family 64:2 (2002), 384–394.
59. Sener, I.N., Bhat, C.R., An analysis of the social context of children's weekend discretionary activity participation. Transportation 34:6 (2007), 697–721.
60. Sener, I.N., Bhat, C.R., Modeling the spatial and temporal dimensions of recreational activity participation with a focus on physical activities. Transportation 39:3 (2012), 627–656.
61. Sener, I.N., Copperman, R.B., Pendyala, R.M., Bhat, C.R., An analysis of children's leisure activity engagement: examining the day of week, location, physical activity level, and fixity dimensions. Transportation 35:5 (2008), 673–696.
62. Seraj, S., Sidharthan, R., Bhat, C.R., Pendyala, R.M., Goulias, K.G., Parental attitudes toward children walking and bicycling to school. Transport. Res. Record 2323 (2012), 46–55.
63. Sidharthan, R., Bhat, C.R., Incorporating spatial dynamics and temporal dependency in land use change models. Geogr. Anal. 44:4 (2012), 321–349.
64. Sidharthan, R., Bhat, C.R., Pendyala, R.M., Goulias, K.G., Model for children's school travel mode choice: accounting for effects of spatial and social interaction. Transport. Res. Record 2213 (2011), 78–86.
65. Smirnov, O.A., Modeling spatial discrete choice. Reg. Sci. Urban Econ. 40:5 (2010), 292–298.
66. Sultana, S., Weber, J., The nature of urban growth and the commuting transition: endless sprawl or a growth wave?. Urban Studies 51:3 (2014), 544–576.
67. Teixeira-Pinto, A., Harezlak, J., Factorization and latent variable models for joint analysis of binary and continuous outcomes. De Leon, A.R., Chough, K.C., (eds.) Analysis of Mixed Data: Methods & Applications, 2013, CRC Press, Taylor & Francis Group, Boca Raton, FL, 81–91.
68. Terza, J., Basu, A., Rathouz, P., Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling. J. Health Econ. 27:3 (2008), 531–543.
69. Varin, C., Vidoni, P., A note on composite likelihood inference and model selection. Biometrika. 92:3 (2005), 519–528.
70. Walker, J.L., Li, J., Latent lifestyle preferences and household location decisions. J. Geogr. Syst. 9:1 (2007), 77–101.
71. Wang, H., Iglesias, E.M., Wooldridge, J.M., Partial maximum likelihood estimation of spatial probit models. J. Econometrics 172:1 (2013), 77–89.
72. Wilson, E.J., Marshall, J., Wilson, R., Krizek, K.J., By foot, bus or car: children's school travel and school choice policy. Environ. Plan. A 42:9 (2010), 2168–2185.
73. Yang, K., Lee, L-F., Identification and QML Estimation of Multivariate and Simultaneous Spatial Autoregressive Models., 2015 Technical Report, Accessed August 7, 2016, http://kaiyang.weebly.com/uploads/5/0/7/4/5074896/revised_paper.pdf.
74. Yang, S., Allenby, G.M., Modeling interdependent customer preferences. J. Market. Res. XL (2003), 282–294.
75. Yarlagadda, A.K., Srinivasan, S., Modeling children's school travel mode and parental escort decisions. Transportation 35:2 (2008), 201–218.