Table 6. Output 5.
Poisson regression | Number of obs = 706 | |||||
---|---|---|---|---|---|---|
LR chi2(7) = 1484.25 | ||||||
Prob > chi2 = 0.0000 | ||||||
Log likelihood = -7671.1288 | Pseudo R2 = 0.0882 | |||||
articles | Coef. | Std. Err. | z | P>|z| | [95% Conf. Interval] | |
1.male | .0386934 | .0221662 | 1.75 | 0.081 | -.0047516 | .0821384 |
discid | ||||||
1 | -.0528417 | .020838 | -2.54 | 0.011 | -.0936834 | -.0119999 |
2 | -.1954824 | .0251267 | -778 | 0.000 | -.2447298 | -.1462349 |
countryid | ||||||
1 | .7058535 | .0212108 | 33.28 | 0.000 | .6642811 | .7474259 |
2 | .3255295 | .0274387 | 11.86 | 0.000 | .2717507 | .3793083 |
yeardeg | -.00845 | .0009701 | -8.71 | 0.000 | -.0103513 | -.0065486 |
_cons | 19.46308 | 1.931067 | 10.08 | 0.000 | 15.67826 | 23.2479 |