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TWO METHODOLOGICAL PROBLEMS IN DETERMINING
THREE DEMAND FOR TRANSPORTATION
VARIABLES MISSING FRDM soME OBSERVATIONS
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age of cars aggregate assumption AUTO OPERATION auto-credit extended automobiles autonomous consumption behavior category of transportation Chapter Three coeeficicnt Regression coeeficicnt coefficient of determination combination of cross-section COMBINATION OF TIME-SERIES computed consumer unit consumption CPIt cross-section and time-series cross-section data cross-section sample current dollars DEMAND FOR AUTO demand for public demand for transportation demand functions demand model determination R2 disposable income earners econometric economic empirical estimates Equation errors t ratios estimated from cross-section estimated from time-series ESTIMATES OF DEMAND explaining consumers explanatory variables factors Figures in parentheses highway mileage independent variables long-run methods of estimation multicollinearity number of cars obtained from time-series OPERATION AND MAINTENANCE PARAMETERS ESTIMATED parentheses are ratios predictive accuracy price variable public transportation ratios of regression Regression coeeficicnt Regression Regression coefficient standard errors Statistical sumers Table theory of demand time-series and cross-section time-series data time-series observations tion zt variables