Transportation

, Volume 37, Issue 3, pp 363–390

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

  • Nazneen Ferdous
  • Abdul Rawoof Pinjari
  • Chandra R. Bhat
  • Ram M. Pendyala
Article

Abstract

This paper proposes a multiple discrete continuous nested extreme value (MDCNEV) model to analyze household expenditures for transportation-related items in relation to a host of other consumption categories. The model system presented in this paper is capable of providing a comprehensive assessment of how household consumption patterns (including savings) would be impacted by increases in fuel prices or any other household expense. The MDCNEV model presented in this paper is estimated on disaggregate consumption data from the 2002 Consumer Expenditure Survey data of the United States. Model estimation results show that a host of household and personal socio-economic, demographic, and location variables affect the proportion of monetary resources that households allocate to various consumption categories. Sensitivity analysis conducted using the model demonstrates the applicability of the model for quantifying consumption adjustment patterns in response to rising fuel prices. It is found that households adjust their food consumption, vehicular purchases, and savings rates in the short run. In the long term, adjustments are also made to housing choices (expenses), calling for the need to ensure that fuel price effects are adequately reflected in integrated microsimulation models of land use and travel.

Keywords

Consumer expenditure Transportation expenditure Fuel prices Vehicle operating expenses Multiple discrete continuous nested extreme value model Evaluating impacts of fuel price increase 

References

  1. Ahn, J., Jeong, G., Kim, Y.: A forecast of household ownership and use of alternative fuel vehicles: a multiple discrete-continuous choice approach. Energy Econ. 30(5), 2091–2104 (2008)CrossRefGoogle Scholar
  2. Anas, A.: A unified theory of consumption, travel, and trip chaining. J. Urban Econ. 62(2), 162–186 (2007)CrossRefGoogle Scholar
  3. APTA: Public transit ridership continues to grow in first quarter of 2008: almost 88 more million trips taken than 2007 first quarter. News Release, June 2, 2008. American Public Transit Association, Washington, DC. http://www.apta.com/mediacenter/pressreleases/2008/Pages/080602_ridership_report.aspx (2008)
  4. Austin, D.: Effects of gasoline prices on driving behavior and vehicle markets. Congressional Budget Office, No. 2883, Washington, DC (2008)Google Scholar
  5. Bento, A.M., Goulder, L.H., Henry, E., Jacobsen, M.R., von Haefen, R.H.: Distributional and efficiency impacts of gasoline taxes: an econometrically based multi-market study. Am. Econ. Rev. 95(2), 282–287 (2005)CrossRefGoogle Scholar
  6. Bento, A.M., Goulder, L.H., Jacobsen, M.R., von Haefen, R.H.: Distributional and efficiency impacts of increased U.S. gasoline taxes. Am. Econ. Rev. 99(3), 667–699 (2009)CrossRefGoogle Scholar
  7. Bhat, C.R.: A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions. Transp. Res. Part B 39(8), 679–707 (2005)CrossRefGoogle Scholar
  8. Bhat, C.R.: The multiple discrete-continuous extreme value (MDCEV) model: role of utility function parameters, identification considerations, and model extensions. Transp. Res. Part B 42(3), 274–303 (2008)CrossRefGoogle Scholar
  9. Bhat, C.R., Koppelman, F.S.: Activity-based modeling of travel demand. In: Hall, R.W. (ed.) The Handbook of Transportation Science, pp. 35–61. Kluwer, Norwell (1999)Google Scholar
  10. Bhat, C.R., Sen, S.: Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model. Transp. Res. Part B 40(1), 35–53 (2006)CrossRefGoogle Scholar
  11. BLS: Homeowner expenditures take more out of budgets in Northeast and West. Monthly Labor Review the Editor’s Desk, U.S. Department of Labor Bureau of Labor Statistics, Washington, DC. http://www.bls.gov/opub/ted/1998/Dec/wk3/art02.htm (1998)
  12. BLS: BLS interview survey form 2001. U.S. Department of Labor Bureau of Labor Statistics, Washington, DC. http://www.bls.gov/cex/#forms (2001)
  13. BLS: 2002 Consumer expenditure interview survey public use microdata documentation. U.S. Department of Labor Bureau of Labor Statistics, Washington, DC. http://www.bls.gov/cex/csxmicrodoc.htm#2002 (2003)
  14. BLS: Consumer expenditures in 2002. U.S. Department of Labor, Bureau of Labor Statistics, Report 974, Washington, DC (2004)Google Scholar
  15. Choo, S., Lee, T., Mokhtarian, P.L.: Do transportation and communications tend to be substitutes, complements, or neither? U.S. Consumer Expenditures Perspective, 1984–2002. Transp. Res. Rec. 2010, 121–132 (2007)CrossRefGoogle Scholar
  16. Cooper, M.: The impact of rising prices on household gasoline expenditures. Consumer Federation of America. www.consumerfed.org/ (2005)
  17. Di, Z.X., Belsky, E., Liu, X.: Do homeowners achieve more household wealth in the long run? J. Hous. Econ. 16(3–4), 274–290 (2007)CrossRefGoogle Scholar
  18. Dynan, K.E., Skinner, J., Zeldes, S.P.: Do the rich save more? J. Polit. Econ. 112(2), 397–444 (2004)CrossRefGoogle Scholar
  19. Engel, E.: Die productions- und consumtionsverhaltnisse des konigreichs sachsen. Zeitschrift des Statistischen Bureaus des Koniglich Sachsischen Ministeriums des Innern, Nos. 8 and 9 (1857). Reprinted in Bulletin de l’Institut Internationale de la Statistique, 9 (1895)Google Scholar
  20. Espey, M.: Explaining the variation in elasticity estimates of gasoline demand in the United States: a meta-analysis. Energy J. 17(3), 49–60 (1996)Google Scholar
  21. Feng, Y., Fullerton, D., Gan, L.: Vehicle choices, miles driven, and pollution policies. NBER Working Paper No. 11553. National Bureau of Economic Research, Cambridge (2005)Google Scholar
  22. Fetters, E.: Gas, grocery prices drive cost of living up. HeraldNet. http://www.heraldnet.com/article/20080615/NEWS01/198576393&news01ad=1 (2008). Accessed 15 June 2008
  23. FHWA: Traffic volume trends. Federal Highway Administration, US Department of Transportation, Office of Highway Policy Information, Washington, DC. http://www.fhwa.dot.gov/ohim/tvtw/tvtpage.htm (2008)
  24. Gicheva, D., Hastings, J., Villas-Boas, S.: Revisiting the income effect: gasoline prices and grocery purchases. NBER Working Paper No. 13614, National Bureau of Economic Research, Cambridge (2007)Google Scholar
  25. Harris, E., Sabelhaus, J.: Consumer expenditure survey: family-level extracts, 1980:1–1998:2. Congressional Budget Office, Washington, DC. http://www.nber.org/data/ces_cbo.html (2000)
  26. Huggett, M., Ventura, G.: Understanding why high income households save more than low income households. J. Monet. Econ. 45(2), 361–397 (2000)CrossRefGoogle Scholar
  27. Hughes, J.E., Knittel, C.R., Sperling, D.: Evidence of a shift in the short-run price elasticity of gasoline demand. Energy J. 29(1), 93–114 (2006)Google Scholar
  28. Jones, P.: New approaches to understanding travel behaviour: the human activity approach. In: Hensher, D.A., Stopher, P.R. (eds.) Behavioral Travel Modeling, pp. 55–80. Redwood Burn Ltd., London (1979)Google Scholar
  29. Jones, P., Koppelman, F.S., Orfeuil, J.P.: Activity analysis: state-of-the-art and future directions. In: Jones, P. (ed.) Developments in Dynamic and Activity-Based Approaches to Travel Analysis, pp. 34–55. Gower Publishing Co, Aldershot (1990)Google Scholar
  30. Kaiser, E.: Fuel spike curbs vacations, dining out: poll. Reuters, Washington. http://www.reuters.com/article/idUSN1744550120080618 (2008). Accessed 18 June 2008
  31. Li, S., von Haefen, R., Timmins, C.: How do gasoline prices affect fleet fuel economy? NBER Working Paper No. 14450, National Bureau of Economic Research, Cambridge (2008)Google Scholar
  32. Li, Z., Rose, J.M., Hensher, D.A.: Forecasting automobile petrol demand in Australia: an evaluation of empirical models. Transp. Res. Part A 44(1), 16–38 (2010)Google Scholar
  33. Linn, A.: Rising gas costs crimping budgets. MSNBC News. http://www.msnbc.msn.com/id/23637018/ (2008). Accessed 20 March 20 2008
  34. Moriarty, P.: Household travel time and money expenditures. Road Transp. Res. J. Aust. N. Z. Res. Pract. 11(4), 14–23 (2002)Google Scholar
  35. MSNBC News: Why now is a good time to buy a car: cost of a new vehicle is lower than it has been in years. ForbesAutos.com, MSNBC News. http://www.msnbc.msn.com/id/25287252/ (2008a). Accessed 24 June 2008
  36. MSNBC News: Average cost of gas nationwide hits $4. Associated Press, MSNBC News. http://www.msnbc.msn.com/id/25045979/ (2008b). Accessed 9 June 2008
  37. MSNBC News: Gas prices gouge eating, shopping habits, too—Americans cutting back on other expenses to keep tanks full. MSNBC News. http://www.msnbc.msn.com/id/23636538/ (2008c). Accessed 19 March 2008
  38. NBER: The national bureau of economic research (NBER) archive of consumer expenditure survey microdata extracts. National Bureau of Economic Research, Cambridge. http://www.nber.org/data/ces_cbo.html (2003)
  39. Nicholson, A.J., Lim, Y.H.: Household expenditure on transport in New Zealand. Aust. Road Res. 17(1), 28–39 (1987)Google Scholar
  40. Nicol, C.: Elasticities of demand for gasoline in Canada and the United States. Energy Econ. 25(2), 201–214 (2003)CrossRefGoogle Scholar
  41. Oi, W.Y., Shuldiner, P.Q.: An Analysis of Urban Travel Demands. Northwestern University Press, Evanston (1962)Google Scholar
  42. Oladosu, G.: An almost ideal demand system model of household vehicle fuel expenditure allocation in the United States. Energy J. 24(1), 1–21 (2003)Google Scholar
  43. Olvera, L.D., Plat, D., Pochet, P.: Household transport expenditure in sub-saharan African cities: measurement and analysis. J. Transp. Geogr. 16(1), 1–13 (2008)CrossRefGoogle Scholar
  44. Paulin, G.D.: A comparison of consumer expenditures by housing tenure. J. Consum. Aff. 29(1), 164–198 (1995)CrossRefGoogle Scholar
  45. Pendyala, R.M.: Travel trends and conditions in an era of high gas prices. Presentation at the gas price summit, Arizona House of Representatives, Phoenix, AZ, 24 June 2008Google Scholar
  46. Pendyala, R.M., Goulias, K.G.: Time use and activity perspectives in travel behavior research. Transportation 29(1), 1–4 (2002)CrossRefGoogle Scholar
  47. Peterson, J.: The Economic Effects of Recent Increases in Energy Prices. Congressional Budget Office, No. 2835, Washington, DC (2006)Google Scholar
  48. Pinjari, A.R., Bhat, C.R.: A multiple discrete-continuous nested extreme value (MDCNEV) model: formulation and application to non-worker activity time-use and timing behavior on weekdays. Transp. Res. Part B. 44(4), 562–583 (2010)CrossRefGoogle Scholar
  49. Prais, S.J., Houthakker, H.S.: The analysis of family budgets. Second edition (1971). Cambridge University Press, Cambridge (1955)Google Scholar
  50. Puller, S.L., Greening, L.A.: Household adjustment to gasoline price change: an analysis using 9 years of US survey data. Energy Econ. 21(1), 37–52 (1999)CrossRefGoogle Scholar
  51. Sanchez, T.W., Makarewicz, C., Hasa, P.M., Dawkins, C.J.: Transportation costs, inequities, and trade-offs. Presented at the 85th annual meeting of the Transportation Research Board, Washington, DC, 2006Google Scholar
  52. Small, K.A., Van Dender, K.: Fuel efficiency and motor vehicle travel: the declining rebound effect. Energy J. 28(1), 25–51 (2007)Google Scholar
  53. Thakuriah, P., Liao, Y.: An analysis of variations in vehicle-ownership expenditures. Transp. Res. Rec. 1926, 1–9 (2005)CrossRefGoogle Scholar
  54. Thakuriah, P., Liao, Y.: Transportation expenditures and ability to pay: evidence from consumer expenditure survey. Transp. Res. Rec. 1985, 257–265 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Nazneen Ferdous
    • 1
  • Abdul Rawoof Pinjari
    • 2
  • Chandra R. Bhat
    • 1
  • Ram M. Pendyala
    • 3
  1. 1.Department of Civil, Architectural and Environmental EngineeringThe University of Texas at AustinAustinUSA
  2. 2.Department of Civil and Environmental EngineeringUniversity of South FloridaTampaUSA
  3. 3.Department of Civil and Environmental EngineeringArizona State UniversityTempeUSA

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