Table 3. Output 2.
Poisson regression | Number of obs = 943 | |||||
---|---|---|---|---|---|---|
LR chi2(7) = 42229.60 | ||||||
Prob > chi2 = 0.0000 | ||||||
Log likelihood = -206597.28 | Pseudo R2 = 0.0927 | |||||
articles | Coef. | Std. Err. | z | P>|z| | [95% Conf. Interval] | |
1.chair | .63985 | .004212 | 151.91 | 0.000 | .6315946 | .6481054 |
1.male | .5171574 | .0062903 | 82.22 | 0.000 | .5048286 | .5294861 |
discid | ||||||
1 | -.4537693 | .0060258 | -75.30 | 0.000 | -.4655797 | -.4419589 |
2 | -.1678299 | .0061404 | -27.33 | 0.000 | -.1798648 | -.155795 |
countryid | ||||||
1 | .4110643 | .0050392 | 81.57 | 0.000 | .4011877 | .4209408 |
2 | .0071869 | .0069592 | 1.03 | 0.302 | -.0064528 | .0208267 |
yeardeg | .0013677 | .0002533 | 5.40 | 0.000 | .0008712 | .0018642 |
_cons | 2.042871 | .5040758 | 4.05 | 0.000 | 1.054901 | 3.030841 |