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Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics.

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Presentation on theme: "Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics."— Presentation transcript:

1 Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics

2 DALE and Per Capita GDP

3 Income Distribution Matters Regression Analysis: DALE versus GINI, GDPC The regression equation is DALE = 63.8 - 34.5 GINI + 0.000950 GDPC Predictor Coef SE Coef T P Constant 63.768 3.651 17.47 0.000 GINI -34.521 8.550 -4.04 0.000 GDPC 0.00095022 0.00009987 9.52 0.000 S = 9.02618 R-Sq = 46.7% R-Sq(adj) = 46.1%

4 World Income Distributions http://en.wikipedia.org/wiki/Image:Gini_Coefficient_World_Human_Development_Report_2007-2008.png

5 Per Capita GDP vs. Income Distribution

6 What About Education?

7 Maybe Richer Countries Spend More on Education

8 How Do We Disentangle All These Effects? Regression Analysis: DALE versus EDUC, GINI, GDPC The regression equation is DALE = 42.3 + 2.65 EDUC - 12.0 GINI + 0.000494 GDPC Predictor Coef SE Coef T P Constant 42.259 3.599 11.74 0.000 EDUC 2.6511 0.2582 10.27 0.000 GINI -12.028 7.197 -1.67 0.096 GDPC 0.00049367 0.00009159 5.39 0.000 The regression equation is DALE = 49.5 + 0.00111 GDPC Predictor Coef SE Coef T P Constant 49.4725 0.9249 53.49 0.000 GDPC 0.00111273 0.00009502 11.71 0.000


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