Logistic regression results (1998–2018)
| Variables | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 |
|---|---|---|---|---|---|---|---|
| Abstract | 1.367 | 1.722** | 1.777** | 1.227 | 2.296** | 2.414** | 2.816*** |
| (0.849) | (0.784) | (0.878) | (0.753) | (0.905) | (0.942) | (1.080) | |
| Manual | 0.988 | 0.344 | 0.803 | 0.596 | 0.0310 | 0.323 | 0.311 |
| (0.871) | (0.993) | (0.936) | (1.015) | (0.934) | (0.883) | (0.851) | |
| Sector | −0.0188 | −0.0703*** | −0.0578*** | −0.0577*** | −0.0565*** | −0.0511** | |
| (0.0130) | (0.0209) | (0.0203) | (0.0197) | (0.0203) | (0.0205) | ||
| Formal | 0.0581*** | 0.0589*** | 0.0674*** | 0.0739*** | 0.0700*** | ||
| (0.0203) | (0.0203) | (0.0209) | (0.0211) | (0.0203) | |||
| Activity | 0.0259*** | 0.0274*** | 0.0253*** | 0.0232*** | |||
| (0.00955) | (0.00892) | (0.00808) | (0.00804) | ||||
| Education | 0.0287** | 0.0283** | 0.0275* | ||||
| (0.0135) | (0.0137) | (0.0147) | |||||
| Age | 0.0256 | 0.0308* | |||||
| (0.0169) | (0.0183) | ||||||
| Gender | 0.0204 | ||||||
| (0.0184) | |||||||
| Constant | −1.891*** | −0.946 | −2.176** | −3.158** | −5.277*** | −6.663*** | −8.637*** |
| (0.607) | (0.819) | (1.037) | (1.247) | (1.602) | (1.798) | (2.823) | |
| Pseudo R2 | 0.0294 | 0.0835 | 0.1827 | 0.2754 | 0.3029 | 0.3178 | 0.3271 |
| N | 136 | 136 | 136 | 136 | 136 | 136 | 136 |
| Variables | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 |
|---|---|---|---|---|---|---|---|
| Abstract | 1.367 | 1.722** | 1.777** | 1.227 | 2.296** | 2.414** | 2.816*** |
| (0.849) | (0.784) | (0.878) | (0.753) | (0.905) | (0.942) | (1.080) | |
| Manual | 0.988 | 0.344 | 0.803 | 0.596 | 0.0310 | 0.323 | 0.311 |
| (0.871) | (0.993) | (0.936) | (1.015) | (0.934) | (0.883) | (0.851) | |
| Sector | −0.0188 | −0.0703*** | −0.0578*** | −0.0577*** | −0.0565*** | −0.0511** | |
| (0.0130) | (0.0209) | (0.0203) | (0.0197) | (0.0203) | (0.0205) | ||
| Formal | 0.0581*** | 0.0589*** | 0.0674*** | 0.0739*** | 0.0700*** | ||
| (0.0203) | (0.0203) | (0.0209) | (0.0211) | (0.0203) | |||
| Activity | 0.0259*** | 0.0274*** | 0.0253*** | 0.0232*** | |||
| (0.00955) | (0.00892) | (0.00808) | (0.00804) | ||||
| Education | 0.0287** | 0.0283** | 0.0275* | ||||
| (0.0135) | (0.0137) | (0.0147) | |||||
| Age | 0.0256 | 0.0308* | |||||
| (0.0169) | (0.0183) | ||||||
| Gender | 0.0204 | ||||||
| (0.0184) | |||||||
| Constant | −1.891*** | −0.946 | −2.176** | −3.158** | −5.277*** | −6.663*** | −8.637*** |
| (0.607) | (0.819) | (1.037) | (1.247) | (1.602) | (1.798) | (2.823) | |
| Pseudo | 0.0294 | 0.0835 | 0.1827 | 0.2754 | 0.3029 | 0.3178 | 0.3271 |
| 136 | 136 | 136 | 136 | 136 | 136 | 136 |
Note(s): The dependent variable is a dummy capturing employment growth between 1998 and 2018. Independent variables values are the initial year’s values and are defined in detail in Section 4.2.2. Reported results are coefficients. Regression is weighted by initial employment share in 1998. Robust standard errors are in parentheses. ∗∗∗, ∗∗ and ∗ refer to being statistically significant at 1%, 5%, and 10%, respectively
Source(s): Authors’ estimation
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