itsp

```
lwage
variable:group
```

Variable Graph Type N Descriptives Label

[+] lwage
@wagepan.dta

other
(float)

4360
(.)

(x̄=1.649, 0.533) [-3.579,4.052]

log(wage)

All properties
key	content
N	4360
N_unique	.
class	other
example0	1.1975402
histh	.00108203, .00216405, .00432811, .00432811, .0119023, .00324608, .01082027, .0119023, .02055851, .03029675, .05951148, .09738242, .27158874, .48474804, .70007139, .83640677, .76715708, .66869265, .42523658, .19476484, .06275756, .02380459, .01298432, .00757419, .00216405, .00108203, .00108203
histw	-3.4730935, -1.3533883, -1.1414177, -.92944723, -.71747673, -.50550622, -.29353571, -.08156518, .13040534, .34237584, .55434638, .76631689, .9782874, 1.1902579, 1.4022285, 1.6141989, 1.8261695, 2.0381401, 2.2501104, 2.462081, 2.6740515, 2.8860221, 3.0979924, 3.309963, 3.5219336, 3.7339041, 3.9458747
label	log(wage)
max	4.052
mean	1.649
min	-3.579
sd	0.533
type	float

file # command

ch9.06.do:

10 [+]

regress lwage educ lhours if year == `y'

14 [+]

regress lwage educ lhours black hisp if year == `y'

18 [+]

regress lwage educ exper expersq lhours black hisp if year == `y'

39 [+]

regress lwage educ exper lhours if year == `y'

44 [+]

graph combine scat`y' avplot`y' , nodraw col(2) saving(lwage`y', replace) /// ti("Log wage vs. log hours for `y'")

Data Manipulations with lwage
file	#	command

Script Output


lwage:  log(wage)                               Number of Observations
-----------------                           ------------------------------
                                            Total   Integers   Nonintegers
|              #             Negative          43         -         43
|              #             Zero               -         -          -
|              #             Positive        4317         -       4317
|              #                            -----     -----      -----
|              #             Total           4360         -       4360
|  .   .   .   #   .         Missing            -
+----------------------                     -----
-3.579079       4.05186                      4360
(More than 99 unique values)

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
       lwage |      4360    1.649147    .5326094  -3.579079    4.05186
@mean     1.649
@sd     0.533
@min    -3.579
@max     4.052
@example0 1.1975402
@histh .00108203, .00216405, .00432811, .00432811, .0119023, .00324608, .01082027, .0119023, .02055851, .03029675, .05951148, .09738242, .27158874, .48474804, .70007139, .83640677, .76715708, .66869265, .42523658, .19476484, .06275756, .02380459, .01298432, .00757419, .00216405, .00108203, .00108203
@histw -3.4730935, -1.3533883, -1.1414177, -.92944723, -.71747673, -.50550622, -.29353571, -.08156518, .13040534, .34237584, .55434638, .76631689, .9782874, 1.1902579, 1.4022285, 1.6141989, 1.8261695, 2.0381401, 2.2501104, 2.462081, 2.6740515, 2.8860221, 3.0979924, 3.309963, 3.5219336, 3.7339041, 3.9458747
@type float
@label log(wage)
@class other
@N_unique .
@N 4360