An Examination of the Lithuanian Labour Market during the first quarter of 2004
Further Guide
You may organise your report as follows;
Session 1. Introduction
· Lithuanian labour market
· Mincer wage equation:
Session 2. Returns to education
Link theories (human capital and signalling theories) to empirical results.
Session 3. Wage discrimination
Link human capital model to empirical results.
Session 4. Tenure & work experience
Link human capital model to empirical results.
Session 5. Differences in wage between groups
Differences in education, sex, occupation, industry etc.
Session 6. Conclusion
Appendices (e.g. robustness checks)
References
Borjas, G. (2016) Labor economics. 7th ed. New York, N.Y: McGraw-Hill Education.
Outreg2
Please download this file from Princeton University.
https://www.princeton.edu/~otorres/Outreg2.pdf
Now, outreg2 is a user-written do-file for Stata (i.e. it was not written by the Stata Corporation but by a user of Stata). As such, you need to download this onto your version of Stata that you use.
Click on the Help tab in Stata:
Click on Search
Search for outreg2
Then, fifth result down:
Click on the link
Now click on install
Click here
You can now type help outreg2 at the command line for details on how to use this package. However, I give you details below.
STUDY AND ADAPT THIS DO-FILE!!
#delimit;
drop _all;
capture log close;
version 15.1;
*log results to a file called Lithuania.log;
log using "I:\LSBU\Econometrics\coursework example\lecture4.log", replace;
*Loading the data set;
use "I:\LSBU\Econometrics\coursework example\lecture4.dta",clear;
*******************************************************************;
*Generating variables;
gen wage=k18;
What is the difference between tenure and work experience? Which economic theories do these variables imply?
gen lnwage=log(wage);
gen tenure=2004-k26;
gen tensq=tenure*tenure;
gen exp=2004-k79;
gen expsq=exp*exp;
gen gender=1 if sex==2;
replace gender=0 if gender==.;
gen education=k77;
What is the command cd?
*******************************************************************;
What is ib1. representing? In Stata, search for Factor Variables for an explanation
*Doing analysis;
reg lnwage gender tenure tensq;
*Changing directory to my USB pen;
cd " "I:\LSBU\Econometrics\coursework example";
outreg2 using results1.doc, replace;
reg lnwage gender tenure tensq ib1.education;
outreg2 using results1.doc, append;
*******************************************************************;
log close;
*Saving the data under a different name;
save " I:\LSBU\Econometrics\coursework example\seminar4.dta", replace;
Do you understand what is happening here?
Results Generated
You should get a set of results like this. If you don’t, put your hand up in class next week!
|
|
(1) |
(2) |
|
VARIABLES |
lnwage |
lnwage |
|
|
|
|
|
gender |
-0.221*** |
-0.280*** |
|
|
(0.0174) |
(0.0161) |
|
tenure |
0.0255*** |
0.0181*** |
|
|
(0.00294) |
(0.00269) |
|
tensq |
-0.000529*** |
-0.000388*** |
|
|
(8.88e-05) |
(8.09e-05) |
|
2.education |
|
-0.564*** |
|
|
|
(0.204) |
|
3.education |
|
-0.843*** |
|
|
|
(0.227) |
|
4.education |
|
-0.832*** |
|
|
|
(0.205) |
|
5.education |
|
-0.976*** |
|
|
|
(0.204) |
|
6.education |
|
-1.055*** |
|
|
|
(0.205) |
|
7.education |
|
-1.046*** |
|
|
|
(0.204) |
|
8.education |
|
-1.139*** |
|
|
|
(0.205) |
|
9.education |
|
-1.143*** |
|
|
|
(0.208) |
|
10.education |
|
-1.114*** |
|
|
|
(0.223) |
|
11.education |
|
-1.148*** |
|
|
|
(0.242) |
|
12.education |
|
-1.263*** |
|
|
|
(0.205) |
|
13.education |
|
-1.445*** |
|
|
|
(0.231) |
|
14.education |
|
-1.133** |
|
|
|
(0.498) |
|
Constant |
6.418*** |
7.428*** |
|
|
(0.0175) |
(0.203) |
|
|
|
|
|
Observations |
3,442 |
3,442 |
|
R-squared |
0.065 |
0.240 |
Standard errors in parentheses *** p<0.01, ** p<0.05, * p<0.1
From this table you should now be able to make the table look real professional. Marks will definitely be lost for those students who simply copy and paste and do not leave professional looking results in their report.
What does this mean?