Vehicle scrappage or survival models provide estimates of the fraction of vehicles of each model year that survive to each later year. Earlier studies have suggested that many socioeconomic factors are associated with vehicle scrappage decisions, such as vehicle age, new vehicle price, household income, unemployment rate, used vehicle price, vehicle maintenance and repair cost, and interest rate for new car loans. However, most of the vehicle scrappage models used so far have been quite simple, using either vehicle age or new car price as determinants. The objectives of the research presented were to (a) develop a statistical vehicle scrappage model capable of describing the association between vehicle scrappage rate and a number of potential determinants such as those just suggested, (b) use the developed model to identify socioeconomic factors that may be associated with aggregate car scrappage rate in the United States using historical data and infer a car scrappage model for prediction purposes, and (c) illustrate how the suggested scrappage model can be used to predict car scrappage and survival rates.
[1]
Richard W Parks,et al.
Determinants of Scrapping Rates for Postwar Vintage Automobiles
,
1977
.
[2]
Franklin V. Walker,et al.
DETERMINANTS OF AUTO SCRAPPAGE
,
1968
.
[3]
Lewis B. Sheiner,et al.
Heteroscedastic nonlinear regression
,
1988
.
[4]
Peter Cardebring,et al.
Car longevity in Sweden: A revised estimate
,
1988
.
[5]
David L. Greene,et al.
Scrappage and survival rates of passenger cars and light trucks in the U.S., 1966-1977
,
1981
.
[6]
David A. Ratkowsky,et al.
Nonlinear regression modeling : a unified practical approach
,
1984
.