Interpret the OLS coefficients (intercept and slope coefficients). When doing it, make sure to discuss the sign of the coefficient, its magnitude and ceteris-paribus interpretations, as well as statistical significance of the coefficients. First, discuss the approximate marginal effects. Next, calculate and discuss the exact marginal effects.

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Interpret the OLS coefficients (intercept and slope coefficients). When doing it, make sure to discuss the sign of the coefficient, its magnitude and ceteris-paribus interpretations, as well as statistical significance of the coefficients. First, discuss the approximate marginal effects. Next, calculate and discuss the exact marginal effects.                                                                            

regress logwages education workexp unionmember south ib(last). occupation female
Source
Model
Residual
Total
logwages
education
workexp
unionmember
south
occupation
Management
Sales
Clerical
Service
Professional
female
_cons
SS
51.7302552
96.7165671
148.446822
Coefficient
. 0694744
. 0105903
.205853
-.1060423
.2047711
-.1456931
-.0128342
-.1995274
. 1614812
-.2080284
1.046263
df
.
Std. err.
5.17302552
10
523 .184926514
.0099415
0016624
.0510267
0416602
.
533 .278511862
.0759394
0817056
0634281
0608877
.0691414
MS
. 041679
.1353804
Number of obs
F(10, 523)
Prob > F
R-squared
Adj R-squared
Root MSE
t P>|t|
6.99 0.000
6.37 0.000
4.03 0.000
-2.55 0.011
2.70 0.007
-1.78 0.075
-0.20 0.840
-3.28 0.001
2.34 0.020
-4.99 0.000
7.73 0.000
. 0499442
.0073244
. 1056106
-. 1878842
. 0555873
-.3062046
. 1374395
-.3191419
. 0256522
=
-.2899072
.780307
=
=
=
=
[95% conf. interval]
=
534
27.97
0.0000
0.3485
0.3360
.43003
0890046
. 0138562
.3060955
-.0242005
.3539548
.0148184
.111771
-.0799128
.2973103
-.1261495
1.312219
Transcribed Image Text:regress logwages education workexp unionmember south ib(last). occupation female Source Model Residual Total logwages education workexp unionmember south occupation Management Sales Clerical Service Professional female _cons SS 51.7302552 96.7165671 148.446822 Coefficient . 0694744 . 0105903 .205853 -.1060423 .2047711 -.1456931 -.0128342 -.1995274 . 1614812 -.2080284 1.046263 df . Std. err. 5.17302552 10 523 .184926514 .0099415 0016624 .0510267 0416602 . 533 .278511862 .0759394 0817056 0634281 0608877 .0691414 MS . 041679 .1353804 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.99 0.000 6.37 0.000 4.03 0.000 -2.55 0.011 2.70 0.007 -1.78 0.075 -0.20 0.840 -3.28 0.001 2.34 0.020 -4.99 0.000 7.73 0.000 . 0499442 .0073244 . 1056106 -. 1878842 . 0555873 -.3062046 . 1374395 -.3191419 . 0256522 = -.2899072 .780307 = = = = [95% conf. interval] = 534 27.97 0.0000 0.3485 0.3360 .43003 0890046 . 0138562 .3060955 -.0242005 .3539548 .0148184 .111771 -.0799128 .2973103 -.1261495 1.312219
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