CONSUMER DEMAND FOR DOMESTIC AND IMPORTED PASSENGER CARS

This paper aims to introduce and estimate consumer demand models domestic and imported passenger cars. Based on time series data CITIBASE, these models are estimated with or without imposing the properties of economic demand equations: homogeneity, summabilit negativity, and symmetry conditions. In addition, constrained compensated demand models, which are theoretically more supportiv than constrained market demand models, are estimated. Autocorrel exists in all models using the given data set. To correct the autocorrelation, the unconstrained double-log demand model is estimated by the Cochran- Orcutt estimation method. For the constrained models of both market and compensated demands, the reparametrisation method is used to constrain the parameters, and Cochran-Orcutt method is then applied. The empirical study prese here finds that, in the double-log model, the constrained market demand models perform better than the unconstrained ones. The au conclude from the results that, in addition to price and time variables that explain changes in quality, demographic factors an people's tastes and life styles are important variables that affe consumer demands for domestic and imported cars.

• Availability:
  • Find a library where document is available. Order URL: https://www.library.northwestern.edu/find-borrow-request/requests-interlibrary-loan/lending-institutions.html
• Authors:
  • Liew, C J
  • Liew, C K
• Publication Date: 1991-10

Language

• English

Media Info

• Features: References;
• Pagination: p. 309-28
• Serial:
  • International Journal of Transport Economics
  • Volume: 18
  • Issue Number: 3
  • ISSN: 0391-8440
  • Serial URL: http://www.libraweb.net/riviste.php?chiave=67

Subject/Index Terms

• TRT Terms: Automobiles; Demand; Mathematical models; Motor vehicles; Ownership; Private transportation
• Subject Areas: Vehicles and Equipment;

Filing Info

• Accession Number: 00626575
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Created Date: Apr 12 1999 12:00AM