pool data
Posted: Fri May 11, 2012 7:50 am
Hi, everybody,
I'm quite new to EViews, I write my thesis and I have to do a undated and unstuck cross-sectional regression. i want to see the effect of marital status, education, legal status, size of household, duration of stay of remittances based on 100 individu. Can somebody explain me step by step how can I do this in EViews. This study based on questioner and interview, if my respondent remit cause of independent variable so write 1 n if not i write 0.
please help me
Ms Edu Oblig Sh Tm Ds Ls
1500 0 0 0 1 0 1 0
2000 0 0 0 1 0 1 1
3000 1 1 1 0 1 0 1
700 0 1 1 0 1 0 1
2600 1 1 1 1 0 1 0
900 0 1 0 0 0 1 0
1700 0 1 0 0 0 1 0
700 0 0 0 0 1 0 0
2200 0 1 1 0 1 0 0
1000 1 1 0 1 0 1 0
1700 1 1 1 0 1 0 0
200 0 0 0 1 1 1 1
300 0 1 0 0 0 1 0
370 0 1 1 0 1 0 1
700 0 0 1 0 1 0 1
500 0 0 1 1 1 1 0
400 0 0 1 1 0 0 1
800 1 1 1 1 1 0 0
500 0 0 1 0 0 0 1
1200 1 0 0 1 0 0 0
400 0 0 1 0 1 1 1
2300 0 0 0 0 1 0 1
4000 1 0 0 0 1 0 1
1700 0 0 0 0 1 0 1
300 0 0 0 0 0 1 0
500 0 0 0 0 1 1 1
300 1 0 1 1 0 1 0
200 0 0 0 0 0 1 1
300 0 0 0 1 1 1 1
300 1 0 1 1 1 1 0
260 0 0 1 0 0 0 1
500 0 0 1 0 0 0 0
200 1 0 0 1 1 1 1
3000 1 0 1 1 1 1 1
400 1 0 1 1 1 0 1
250 0 1 1 0 0 0 0
400 0 1 1 1 1 1 1
230 1 0 1 1 1 1 1
200 1 0 1 0 1 0 1
330 1 0 1 1 0 1 1
400 0 1 0 1 0 0 0
250 1 0 1 1 1 1 1
300 0 1 1 0 1 0 1
250 1 0 1 0 0 2 1
200 0 0 1 0 1 0 0
200 0 0 1 0 0 1 1
300 0 1 1 0 0 0 0
200 0 0 1 0 1 0 1
500 1 0 1 1 1 0 1
200 1 0 1 1 1 0 1
1500 1 1 0 1 1 1 0
800 0 1 1 0 1 1 1
450 1 0 0 1 0 1 0
700 0 1 1 1 0 0 0
300 1 0 0 1 0 1 0
100 0 0 1 0 0 1 0
200 1 0 1 1 0 0 1
270 0 1 1 0 0 0 0
200 0 0 0 1 1 1 0
300 0 0 1 0 1 0 1
200 1 0 0 1 1 0 0
400 0 0 0 1 1 0 0
170 0 0 1 1 1 1 1
700 1 0 1 0 1 1 0
500 1 0 1 1 1 0 1
250 1 1 0 1 1 1 1
2500 0 0 1 1 1 0 0
200 0 0 1 0 0 1 0
230 1 0 0 1 1 1 1
300 0 1 0 0 0 1 0
150 0 0 1 0 0 1 1
800 0 0 1 0 0 1 0
600 1 1 1 0 0 0 1
180 1 0 0 1 0 0 1
2000 0 1 0 1 0 0 1
500 0 1 1 0 1 0 0
200 1 0 0 1 0 1 0
100 0 0 0 0 0 1 0
300 0 0 1 0 1 0 1
1000 0 1 1 1 0 0 1
400 0 0 1 0 1 1 1
1300 1 0 1 1 1 1 1
300 0 0 1 0 1 0 1
340 0 0 1 0 1 1 1
200 1 0 1 1 0 1 0
1700 0 0 1 0 1 0 1
4500 1 0 1 0 1 1 1
500 1 0 0 1 0 0 0
200 0 0 1 0 1 0 0
1000 0 0 1 0 1 0 0
350 0 0 1 0 1 0 1
500 0 0 1 1 1 1 1
1500 1 0 1 1 1 0 1
600 1 0 1 0 1 1 1
330 0 0 1 0 1 1 1
300 0 1 1 0 0 0 1
1200 1 0 1 0 0 0 0
400 0 0 1 1 1 1 1
270 0 0 1 0 1 0 1
500 0 1 1 0 0 0 0
I'm quite new to EViews, I write my thesis and I have to do a undated and unstuck cross-sectional regression. i want to see the effect of marital status, education, legal status, size of household, duration of stay of remittances based on 100 individu. Can somebody explain me step by step how can I do this in EViews. This study based on questioner and interview, if my respondent remit cause of independent variable so write 1 n if not i write 0.
please help me
Ms Edu Oblig Sh Tm Ds Ls
1500 0 0 0 1 0 1 0
2000 0 0 0 1 0 1 1
3000 1 1 1 0 1 0 1
700 0 1 1 0 1 0 1
2600 1 1 1 1 0 1 0
900 0 1 0 0 0 1 0
1700 0 1 0 0 0 1 0
700 0 0 0 0 1 0 0
2200 0 1 1 0 1 0 0
1000 1 1 0 1 0 1 0
1700 1 1 1 0 1 0 0
200 0 0 0 1 1 1 1
300 0 1 0 0 0 1 0
370 0 1 1 0 1 0 1
700 0 0 1 0 1 0 1
500 0 0 1 1 1 1 0
400 0 0 1 1 0 0 1
800 1 1 1 1 1 0 0
500 0 0 1 0 0 0 1
1200 1 0 0 1 0 0 0
400 0 0 1 0 1 1 1
2300 0 0 0 0 1 0 1
4000 1 0 0 0 1 0 1
1700 0 0 0 0 1 0 1
300 0 0 0 0 0 1 0
500 0 0 0 0 1 1 1
300 1 0 1 1 0 1 0
200 0 0 0 0 0 1 1
300 0 0 0 1 1 1 1
300 1 0 1 1 1 1 0
260 0 0 1 0 0 0 1
500 0 0 1 0 0 0 0
200 1 0 0 1 1 1 1
3000 1 0 1 1 1 1 1
400 1 0 1 1 1 0 1
250 0 1 1 0 0 0 0
400 0 1 1 1 1 1 1
230 1 0 1 1 1 1 1
200 1 0 1 0 1 0 1
330 1 0 1 1 0 1 1
400 0 1 0 1 0 0 0
250 1 0 1 1 1 1 1
300 0 1 1 0 1 0 1
250 1 0 1 0 0 2 1
200 0 0 1 0 1 0 0
200 0 0 1 0 0 1 1
300 0 1 1 0 0 0 0
200 0 0 1 0 1 0 1
500 1 0 1 1 1 0 1
200 1 0 1 1 1 0 1
1500 1 1 0 1 1 1 0
800 0 1 1 0 1 1 1
450 1 0 0 1 0 1 0
700 0 1 1 1 0 0 0
300 1 0 0 1 0 1 0
100 0 0 1 0 0 1 0
200 1 0 1 1 0 0 1
270 0 1 1 0 0 0 0
200 0 0 0 1 1 1 0
300 0 0 1 0 1 0 1
200 1 0 0 1 1 0 0
400 0 0 0 1 1 0 0
170 0 0 1 1 1 1 1
700 1 0 1 0 1 1 0
500 1 0 1 1 1 0 1
250 1 1 0 1 1 1 1
2500 0 0 1 1 1 0 0
200 0 0 1 0 0 1 0
230 1 0 0 1 1 1 1
300 0 1 0 0 0 1 0
150 0 0 1 0 0 1 1
800 0 0 1 0 0 1 0
600 1 1 1 0 0 0 1
180 1 0 0 1 0 0 1
2000 0 1 0 1 0 0 1
500 0 1 1 0 1 0 0
200 1 0 0 1 0 1 0
100 0 0 0 0 0 1 0
300 0 0 1 0 1 0 1
1000 0 1 1 1 0 0 1
400 0 0 1 0 1 1 1
1300 1 0 1 1 1 1 1
300 0 0 1 0 1 0 1
340 0 0 1 0 1 1 1
200 1 0 1 1 0 1 0
1700 0 0 1 0 1 0 1
4500 1 0 1 0 1 1 1
500 1 0 0 1 0 0 0
200 0 0 1 0 1 0 0
1000 0 0 1 0 1 0 0
350 0 0 1 0 1 0 1
500 0 0 1 1 1 1 1
1500 1 0 1 1 1 0 1
600 1 0 1 0 1 1 1
330 0 0 1 0 1 1 1
300 0 1 1 0 0 0 1
1200 1 0 1 0 0 0 0
400 0 0 1 1 1 1 1
270 0 0 1 0 1 0 1
500 0 1 1 0 0 0 0