A CROSS-SECTION ANALYSIS OF THE DEMAND FOR NEW AND USED AUTOMOBILES IN THE UNITED STATES

This paper investigates the effects of income and other family characteristics on the demand for new and used automobiles. The multinomial logit probability model is employed to explain a family's choice of age and number of automobiles. Two cross-section surveys are analyzed to ascertain how well these components of demand can be explained by socio-economic variables.