{smcl}
{com}{sf}{ul off}{txt}{.-}
name: {res}
{txt}log: {res}E:\Ishan\Self\IDR\2020\May 2020\STATA_Elena_6th May\Log.smcl
{txt}log type: {res}smcl
{txt}opened on: {res} 9 May 2020, 10:02:53
{com}. use "E:\Ishan\Self\IDR\2020\May 2020\STATA_Elena_6th May\final_project.dta"
.
. ttest income, by(female)
{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
0 {c |}{res}{col 12} 146{col 22} 48186.67{col 34} 3563.358{col 46} 43056.22{col 58} 41143.84{col 70} 55229.5
{txt}1 {c |}{res}{col 12} 153{col 22} 41887.58{col 34} 3071.582{col 46} 37993.37{col 58} 35819.08{col 70} 47956.09
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12} 299{col 22} 44963.39{col 34} 2347.889{col 46} 40598.8{col 58} 40342.85{col 70} 49583.94
{txt}{hline 9}{c +}{hline 68}
diff {c |}{res}{col 22} 6299.09{col 34} 4690.748{col 58}-2932.225{col 70} 15530.4
{txt}{hline 9}{c BT}{hline 68}
diff = mean({res}0{txt}) - mean({res}1{txt}) t = {res} 1.3429
{txt}Ho: diff = 0 degrees of freedom = {res} 297
{txt}Ha: diff < 0 xss=removed> 0
Pr(T < t> |t|) = {res}0.1803 {txt}Pr(T > t) = {res}0.0902
{com}.
. twoway (scatter income age)
{res}
{com}.
. correlate age income
{txt}(obs=299)
{c |} age income
{hline 13}{c +}{hline 18}
age {c |}{res} 1.0000
{txt}income {c |}{res} 0.2959 1.0000
{com}.
. twoway (scatter income educ)
{res}
{com}.
. correlate educ income
{txt}(obs=299)
{c |} educ income
{hline 13}{c +}{hline 18}
educ {c |}{res} 1.0000
{txt}income {c |}{res} 0.3515 1.0000
{com}.
. oneway income race, tabulate
{txt}Self-Report {c |} Summary of Individual Income
ed Race {c |} Mean Std. Dev. Freq.
{hline 12}{c +}{hline 36}
Black/Afr {c |} {res} 41082.11 39938.21 73
{txt}Asian onl {c |} {res} 50613.846 38820.983 39
{txt}White onl {c |} {res} 50989.134 45665.148 127
{txt} Other {c |} {res} 33258.333 26407.538 60
{txt}{hline 12}{c +}{hline 36}
Total {c |} {res} 44963.391 40598.803 299
{txt}Analysis of Variance
Source SS df MS F Prob > F
{hline 72}
Between groups {res} 1.5177e+10 3 5.0589e+09 3.14 0.0259
{txt} Within groups {res} 4.7601e+11 295 1.6136e+09
{txt}{hline 72}
Total {res} 4.9118e+11 298 1.6483e+09
{txt}Bartlett's test for equal variances: chi2({res}3{txt}) = {res} 20.4673{txt} Prob>chi2 = {res}0.000
{com}.
. regress income age us_citizen educ female
{txt} Source {c |} SS df MS Number of obs ={res} 299
{txt}{hline 13}{c +}{hline 34} F(4, 294) = {res} 19.31
{txt} Model {c |} {res} 1.0220e+11 4 2.5550e+10 {txt}Prob > F ={res} 0.0000
{txt} Residual {c |} {res} 3.8898e+11 294 1.3231e+09 {txt}R-squared ={res} 0.2081
{txt}{hline 13}{c +}{hline 34} Adj R-squared ={res} 0.1973
{txt} Total {c |} {res} 4.9118e+11 298 1.6483e+09 {txt}Root MSE = {res} 36374
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} income{col 14}{c |} Coef.{col 26} Std. Err.{col 38} t{col 46} P>|t|{col 54} [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2} 729.6541{col 26}{space 2} 144.8617{col 37}{space 1} 5.04{col 46}{space 3}0.000{col 54}{space 4} 444.5567{col 67}{space 3} 1014.752
{txt}{space 2}us_citizen {c |}{col 14}{res}{space 2} 2611.659{col 26}{space 2} 7766.294{col 37}{space 1} 0.34{col 46}{space 3}0.737{col 54}{space 4}-12672.92{col 67}{space 3} 17896.24
{txt}{space 8}educ {c |}{col 14}{res}{space 2} 4332.421{col 26}{space 2} 666.9918{col 37}{space 1} 6.50{col 46}{space 3}0.000{col 54}{space 4} 3019.738{col 67}{space 3} 5645.105
{txt}{space 6}female {c |}{col 14}{res}{space 2} -9129.22{col 26}{space 2} 4272.853{col 37}{space 1} -2.14{col 46}{space 3}0.033{col 54}{space 4}-17538.48{col 67}{space 3}-719.9651
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-64559.33{col 26}{space 2} 14462.8{col 37}{space 1} -4.46{col 46}{space 3}0.000{col 54}{space 4}-93023.08{col 67}{space 3}-36095.59
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. exit, clear
