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A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data

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  • Nazneen Ferdous
  • Abdul Pinjari
  • Chandra Bhat
  • Ram Pendyala

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  • Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.
  • Handle: RePEc:kap:transp:v:37:y:2010:i:3:p:363-390
    DOI: 10.1007/s11116-010-9264-2
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    References listed on IDEAS

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    15. Pinjari, Abdul Rawoof & Bhat, Chandra, 2010. "A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 562-583, May.
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    26. Li, Zheng & Rose, John M. & Hensher, David A., 2010. "Forecasting automobile petrol demand in Australia: An evaluation of empirical models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 16-38, January.
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    Cited by:

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    2. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    3. Gandelman, Néstor & Serebrisky, Tomás & Suárez-Alemán, Ancor, 2019. "Household spending on transport in Latin America and the Caribbean: A dimension of transport affordability in the region," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    4. Nicolas, Jean-Pierre & Pelé, Nicolas, 2017. "Measuring trends in household expenditures for daily mobility. The case in Lyon, France, between 1995 and 2015," Transport Policy, Elsevier, vol. 59(C), pages 82-92.
    5. Palma, David & Hess, Stephane, 2022. "Extending the Multiple Discrete Continuous (MDC) modelling framework to consider complementarity, substitution, and an unobserved budget," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 13-35.
    6. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2018. "How household transportation expenditures have evolved in Canada: a long term perspective," Transportation, Springer, vol. 45(5), pages 1297-1317, September.
    7. Huang, Naqun & Li, Jing & Ross, Amanda, 2018. "The impact of the cost of car ownership on the house price gradient in Singapore," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 160-171.
    8. Nicolas, Jean-Pierre & Pelé, Nicolas, 2018. "Reprint of Measuring trends in household expenditures for daily mobility. The case in Lyon, France, between 1995 and 2015," Transport Policy, Elsevier, vol. 65(C), pages 19-29.
    9. Matthews, Yvonne, 2023. "A hybrid and hierarchical stated preference study of freshwater restoration in Aotearoa New Zealand," Ecological Economics, Elsevier, vol. 203(C).
    10. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    11. Siwarat Kuson & Songsak Sriboonchitta & Peter Calkins, 2012. "Household determinants of poverty in Savannakhet, Laos: Binary choice model approach," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(3), pages 33-52, September.
    12. Mattioli, Giulio & Lucas, Karen & Marsden, Greg, 2017. "Transport poverty and fuel poverty in the UK: From analogy to comparison," Transport Policy, Elsevier, vol. 59(C), pages 93-105.
    13. Frontuto, Vito, 2019. "Forecasting household consumption of fuels: A multiple discrete-continuous approach," Applied Energy, Elsevier, vol. 240(C), pages 205-214.
    14. Lebrand,Mathilde Sylvie Maria & Theophile,Ewane, 2022. "Rising Incomes, Transport Demand, and Sector Decarbonization," Policy Research Working Paper Series 10010, The World Bank.
    15. Emine Coruh & Faruk Urak & Abdulbaki Bilgic & Steven T. Yen, 2022. "The role of household demographic factors in shaping transportation spending in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3485-3517, March.
    16. Andrea Pellegrini & Igor Sarman & Rico Maggi, 2021. "Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices," Transportation, Springer, vol. 48(2), pages 931-951, April.
    17. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
    18. Pinjari, Abdul Rawoof, 2011. "Generalized extreme value (GEV)-based error structures for multiple discrete-continuous choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 474-489, March.
    19. Mattioli, Giulio & Lucas, Karen & Marsden, Greg, 2018. "Reprint of Transport poverty and fuel poverty in the UK: From analogy to comparison," Transport Policy, Elsevier, vol. 65(C), pages 114-125.
    20. Voytenkov, Valentin & Demidova, Olga, 2023. "Impact of COVID-19 on household consumption in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 73-99.
    21. Bhat, Chandra R. & Castro, Marisol & Pinjari, Abdul Rawoof, 2015. "Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 59-77.

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