The Relationship Between Car Ownership and Income - Research Paper Example

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The paper researched a small sample of 15 countries in the same year. Only one determinant of car ownership, GDP per capita- which is a kind of basis for an economic indicator which is used to show the approximate value of goods produced per people in a country…

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The Relationship Between Car Ownership and Income

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Subject: Business
Type: Research Paper
Level: Masters
Pages: 5 (1250 words)
Downloads: 2
Author: aspinka

Extract of sample "The Relationship Between Car Ownership and Income"

?Question1 Table Country GDP per capita (constant 2000 US In 2003 Passenger cars (per 000 people) In 2003 Norway 38551.03 422 Poland 4780.65 294 Sweden 29320.32 455 Turkey 4052.05 66 Australia 22890.35 524 Japan 37227.24 433 Korea, Rep. 12764.27 215 New Zealand 14464.75 574 Argentina 6929.11 186* Brazil 3735.97 131 Chile 5174.68 88 Dominican Republic 2786.35 70 Ecuador 1419.45 31 Egypt, Arab Rep. 1469.76 26 Israel 18795.99 231 Note: Figures are 2003 estimates. The countries are defined above except Argentina which could not find anyPassenger Cars figure from The World Bank or Economists. Its figure is from the article ‘Vehicle Ownership and Income Growth, Worldwide: 1960-2030’page 5, it is written by Joyce Dargay, Dermot Gately and Martin Sommer in January 2007. In addition, the ‘186*’ is the figure of 2002. Source: World Bank Data, World development indicators & Global Development Finance Question 2: The equations to be estimated are: (A) CAR = b0 + b1 GDP i+ ui Model Summary R R Square Adjusted R Square Std. Error of the Estimate .770(a) .593 .562 124.799 a Predictors: (Constant), GDP GPD growth explains 77% of the total car ownership (R2 = 0.77) ANOVA Model Sum of Squares Df Mean Square F Sig. 1 Regression 295092.632 1 295092.632 18.947 .001(a) Residual 202472.302 13 15574.792 Total 497564.933 14 a Predictors: (Constant), GDP; b Dependent Variable: cars The model with Car ownership as the dependent variable and GDP as the independent variable is significant at 5% level of significance [F (1,13) = 18.947, p = 0.001, p Read More

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