Table 6.
Origin–destination association parameter estimates from the peach model.a
| Vertical effects | Horizontal effects | ||||
|---|---|---|---|---|---|
| Power pre-transition | 10.425*** (1.567) | Transition UNIDIFF | 0.868*** (0.053) | Transport | 1.141*** (0.198) |
| Power transition-post-transition | −1.141 (0.835) | Mining | 2.097*** (0.347) | Trade | 1.045*** (0.24) |
| Education | 4.175*** (0.099) | Machine industry | 2.875*** (0.399) | Personal service | 2.175*** (0.446) |
| Autonomy transition | 1.865*** (0.479) | Chemical industry | 8.849*** (1.571) | Health services | 1.991*** (0.295) |
| Autonomy post-transition | 0.113 (1.283) | Light industry | 0.541**(0.165) | Educational services | 0.499*** (0.146) |
| Autonomy diagonal transition | −0.534 (0.634) | Food industry | 1.656**(0.525) | Cultural services | 8.475*** (1.206) |
| Autonomy diagonal post-transition | 5.146* (2.094) | Construction | 2.118*** (0.296) | Administration & government | −0.494 (0.658) |
| Capital pre-transition | −0.503*** (0.138) | Agriculture | 2.199*** (0.112) | Law & police | 3.138**(1.199) |
| Capital linear change | 0.341*** (0.094) | Forestry | 5.267*** (0.594) | Public service | 3.791*** (0.503) |
| Capital diagonal pre-transition | 0.406*** (0.035) | ||||
| Capital diagonal linear change | 0.034 (0.025) | ||||
| Female UNIDIFF diagonal | 0.48*** (0.071) | ||||
a
The model is estimated with Poisson (count) response and log-link on pooled data sets listed in Table 2, and includes period- and gender-specific marginals, and period and gender specific channels and barriers (estimates listed in Appendix B). Datasets weighted in order to equalize effective sample size across periods. A small constant (0.001) was added to avoid empty cells. N = 41,721, L2 = 21,377, df = 26,262. Standard errors are in parenthesis.
*
p < 0.05,
**
p < 0.01,
***
p < 0.001.