Table 2. Output 1.
| Poisson regression | Number of obs = 943 | |||||
|---|---|---|---|---|---|---|
| LR chi2(7) = 3737.65 | ||||||
| Prob > chi2 = 0.0000 | ||||||
| Log likelihood = -11402.734 | Pseudo R2 = 0.1408 | |||||
| articles | Coef | Std. Err. | z | P>|z| | [95% Conf. Interval] | |
| 1.chair | .5923197 | .0129326 | 45.8 | 0.000 | .5669722 | .6176672 |
| 1.male | .1462261 | .0172582 | 8.47 | 0.000 | .1124007 | .1800516 |
| discid | ||||||
| 1 | -.0033356 | .0163366 | -0.20 | 0.838 | -.0353548 | .0286836 |
| 2 | -.0377911 | .018545 | -2.04 | 0.042 | -.0741386 | -.0014436 |
| countryid | ||||||
| 1 | .6369511 | .0166374 | 38.28 | 0.000 | .6043424 | .6695598 |
| 2 | .3377529 | .0213839 | 15.79 | 0.000 | .2958412 | .3796645 |
| yeardeg | -.0006512 | .000787 | -0.83 | 0.408 | -.0021937 | .0008913 |
| _cons | 3.87022 | 1.5656 | 2.47 | 0.013 | .8017008 | 6.938739 |