Unit 7 ECONF16 (assignment answer key)

Inc 712 326456 1999166 10008 132057 e401k 712 0 0 0 0

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inc 712 32.6456 19.99166 10.008 132.057 e401k 712 0 0 0 0 Variable Obs Mean Std. Dev. Min Max -> e401k = 0 . by e401k, sort : summarize 12
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Pr(T < t) = 0.0000 Pr(|T| > |t|) = 0.0000 Pr(T > t) = 1.0000 Ha: diff < 0 Ha: diff != 0 Ha: diff > 0 Ho: diff = 0 degrees of freedom = 1150 diff = mean(0) - mean(1) t = -5.4163 diff -13.749 2.538464 -18.72954 -8.768463 combined 1,152 15.74204 1.248435 42.37329 13.29257 18.1915 1 440 24.23968 2.411873 50.59188 19.49943 28.97994 0 712 10.49068 1.327099 35.41142 7.88518 13.09618 Group Obs Mean Std. Err. Std. Dev. [95% Conf. Interval] Two-sample t test with equal variances . ttest nettfa, by(e401k) FULL GROUP (CHOW) _cons -8.261716 18.39287 -0.45 0.653 -44.34919 27.82575 e401k 4.712398 2.406524 1.96 0.050 -.0092879 9.434085 agesq .0171651 .0102132 1.68 0.093 -.0028736 .0372039 age -.6396756 .8898225 -0.72 0.472 -2.38554 1.106188 incsq .0053234 .0013934 3.82 0.000 .0025894 .0080573 inc .2028022 .1611949 1.26 0.209 -.113468 .5190725 nettfa Coef. Std. Err. t P>|t| [95% Conf. Interval] Total 2066615.92 1,151 1795.49602 Root MSE = 37.041 Adj R-squared = 0.2358 Residual 1572388.04 1,146 1372.06635 R-squared = 0.2391 Model 494227.887 5 98845.5774 Prob > F = 0.0000 F(5, 1146) = 72.04 Source SS df MS Number of obs = 1,152 . regress nettfa inc incsq age agesq e401k FSIZE = 1 13
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_cons -33.81686 19.71877 -1.71 0.088 -72.64852 5.014796 e401k 7.673876 2.952482 2.60 0.010 1.85963 13.48812 agesq -.0038375 .0114106 -0.34 0.737 -.0263081 .0186332 age .8380175 .975752 0.86 0.391 -1.083505 2.75954 incsq .0018931 .0029233 0.65 0.518 -.0038637 .0076499 inc .4553933 .2737484 1.66 0.097 -.0836922 .9944789 nettfa Coef. Std. Err. t P>|t| [95% Conf. Interval] Total 155492.693 261 595.757445 Root MSE = 20.77 Adj R-squared = 0.2759 Residual 110440.011 256 431.406293 R-squared = 0.2897 Model 45052.6821 5 9010.53643 Prob > F = 0.0000 F(5, 256) = 20.89 Source SS df MS Number of obs = 262 . regress nettfa inc incsq age agesq e401k if fsize<2 FSIZE >1 _cons -5.519583 23.8795 -0.23 0.817 -52.38671 41.34754 e401k 3.658643 2.969816 1.23 0.218 -2.17007 9.487357 agesq .0217861 .0130245 1.67 0.095 -.0037765 .0473487 age -.9368775 1.141908 -0.82 0.412 -3.178044 1.304289 incsq .0053237 .0016324 3.26 0.001 .0021199 .0085274 inc .2255535 .195006 1.16 0.248 -.1571752 .6082821 nettfa Coef. Std. Err. t P>|t| [95% Conf. Interval] Total 1901336.96 889 2138.73674 Root MSE = 40.54 Adj R-squared = 0.2316 Residual 1452861.19 884 1643.50814 R-squared = 0.2359 Model 448475.773 5 89695.1545 Prob > F = 0.0000 F(5, 884) = 54.58 Source SS df MS Number of obs = 890 . regress nettfa inc incsq age agesq e401k if fsize>1 LPM 14
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_cons -.7790373 .2253994 -3.46 0.001 -1.221279 -.3367956 agesq -.0004071 .0001248 -3.26 0.001 -.0006519 -.0001623 incsq -.000102 .0000169 -6.05 0.000 -.0001351 -.0000689 male -.0250647 .0339217 -0.74 0.460 -.0916204 .041491 age .0350273 .0108752 3.22 0.001 .0136897 .0563649 inc .0172764 .0019148 9.02 0.000 .0135195 .0210334 e401k Coef. Std. Err. t P>|t| [95% Conf. Interval] Total 271.944444 1,151 .23626798 Root MSE = .45457 Adj R-squared = 0.1254 Residual 236.803457 1,146 .206634779 R-squared = 0.1292 Model 35.1409878 5 7.02819755 Prob > F = 0.0000 F(5, 1146) = 34.01 Source SS df MS Number of obs = 1,152 . regress e401k inc age male incsq agesq (341 real changes made) . replace ehat=1 if yhat>0.5 . gen ehat=0 ehat 712 .1938202 .3955676 0 1 yhat 712 .3325891 .1676331 -.0278736 .7061099 agesq 712 1763.64 948.4888 625 4096 incsq 712 1464.84 2158.728 100.1601 17439.05 pira 712 .2120787 .4090676 0 1 p401k 712 0 0 0 0 nettfa 712 10.49068 35.41142 -88 397 fsize 712 2.813202 1.531735 1 9 age 712 40.55056 10.92978 25 64 male 712 .2148876 .4110331 0 1 inc 712 32.6456 19.99166 10.008 132.057 e401k 712 0 0 0 0 Variable Obs Mean Std. Dev. Min Max -> e401k = 0 . by e401k, sort : summarize 15
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ehat 440 .4613636 .4990724 0 1 yhat 440 .4618103 .155538 .0499669 .7043635 agesq 440 1785.539 833.8042 625 4096 incsq 440 2646.096 2790.387 102.5156 24523.56 pira 440 .3022727 .4597655 0 1 p401k 440 .7522727 .432184 0 1 nettfa 440 24.23968 50.59188 -502.302 398.241 fsize 440 2.920455 1.447813 1 8 age 440 41.17045 9.525678 25 64 male 440 .175 .3803996 0 1 inc 440 46.29924 22.44149 10.125 156.6 e401k 440 1 0 1 1 Variable Obs Mean Std. Dev. Min Max -> e401k = 1 16
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