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Unformatted text preview: There are altogether 27,326 observations. The number of observations ranges from 1 to 7 per family. (Frequencies are: 1=1525, 2=2158, 3=825, 4=926, 5=1051, 6=1000, 7=987). The dependent variable of interest is DOCVIS = number of visits to the doctor in the observation period HHNINC = household nominal monthly net income in German marks / 10000. (4 observations with income=0 were dropped) HHKIDS = children under age 16 in the household = 1; otherwise = 0 EDUC = years of schooling AGE = age in years MARRIED=marital status WHITEC = 1 if has “white collar” job ˜™™™ ™ 7/27 Part 9: Hypothesis Testing  2 Men ++  Ordinary least squares regression   LHS=HHNINC Mean = .3590541   Standard deviation = .1735639   Number of observs. = 14243   Model size Parameters = 5   Degrees of freedom = 14238   Residuals Sum of squares = 379.8470   Standard error of e = .1633352   Fit Rsquared = .1146423   Adjusted Rsquared = .1143936  ++ +++++++ Variable Coefficient  Standard Error b/St.Er.P[Z>z] Mean of X +++++++ Constant .04169*** .00894 4.662 .0000  AGE  .00086*** .00013 6.654 .0000 42.6528 EDUC  .02044*** .00058 35.528 .0000 11.7287 MARRIED  .03825*** .00341 11.203 .0000 .76515 WHITEC  .03969*** .00305 13.002 .0000 .29994 +++ ˜™™ ™ 8/27 Part 9: Hypothesis Testing  2 Women ++  Ordinary least squares regression   LHS=HHNINC Mean = .3444951   Standard deviation = .1801790   Number of observs. = 13083   Model size Parameters = 5   Degrees of freedom = 13078   Residuals Sum of squares = 363.8789   Standard error of e = .1668045   Fit Rsquared = .1432098   Adjusted Rsquared = .1429477  ++ +++++++ Variable Coefficient  Standard Error b/St.Er.P[Z>z] Mean of X +++++++ Constant .01191 .01158 1.029 .3036  AGE  .00026* .00014 1.875 .0608 44.4760 EDUC  .01941*** .00072 26.803 .0000 10.8764 MARRIED  .12081*** .00343 35.227 .0000 .75151 WHITEC  .06445*** .00334 19.310 .0000 .29924 +++ ˜™™ ™ 9/27 Part 9: Hypothesis Testing  2...
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 Fall '10
 H.Bierens
 Econometrics, Linear Regression, Normal Distribution, Regression Analysis, Hypothesis testing, li, Stern School of Business

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