economics analysis

Table 5

VARIABLES

OLS

clusterSE

OLS

age1539

87747.242

87747.242

[52,664.765]

[52,664.765]

age4069

-129830.041***

-129830.041***

2010.year

1737.562***

1737.562***

527.143***

[317.194]

[317.194]

[149.248]

2011.year

3247.728***

3247.728***

1633.388***

[416.956]

[416.956]

[214.831]

2012.year

3925.152***

3925.152***

1975.115***

[523.751]

[523.751]

[282.314]

2013.year

4334.541***

4334.541***

2153.889***

[584.214]

[584.214]

[344.995]

2014.year

4993.578***

4993.578***

2696.309***

[618.866]

[618.866]

[390.854]

2015.year

5430.349***

5430.349***

3176.802***

[619.133]

[619.133]

[423.086]

race

2881.012

[2,928.611]

Constant

81842.353***

81842.353***

65135.674***

[25,643.207]

[25,643.207]

[2,319.586]

Observations

350

350

350

R-squared

0.994

0.994

0.991

VARIABLES

OLS

age1539

87024.322

[52,609.375]

age4069

-133653.012***

[39,594.264]

race

5482.215**

[2,616.607]

2010.year

1547.758***

[330.537]

2011.year

3050.407***

[432.840]

2012.year

3717.930***

[544.041]

2013.year

4129.367***

[606.151]

2014.year

4784.912***

[643.275]

2015.year

5216.318***

[647.687]

Constant

79049.287***

[25,842.309]

Observations

350

R-squared

0.994

Mean

Standard deviation

Minimum

25th percentile

Median

75th percentile

Maximum

Income

52847.16

8646.483

36796

46693

50836

58252

74551

Age1539

.33652

.0158256

.291

.328

.336

.345

.396

Age4069

.3739486

.0218118

.279

.363

.375

.384

.43

White

.8020629

.1157772

.269

.719

.8175

.888

.972

Black

.1111743

.0954121

.006

.035

.083

.161

.38

Asian

.04538

.0765542

.006

.017

.027

.047

.567

Race

.9586171

.0477795

.678

.942

.973

.991

1.026

Dependent variable

Income

Key Independent Variables

Years

Age

Other Control Variables

Race

Econometric model