Table 5

Logistic regression results (1998–2018)

VariablesModel 1Model 2Model 3Model 4Model 5Model 6Model 7
Abstract1.3671.722**1.777**1.2272.296**2.414**2.816***
(0.849)(0.784)(0.878)(0.753)(0.905)(0.942)(1.080)
Manual0.9880.3440.8030.5960.03100.3230.311
(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     0.02560.0308*
     (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 R20.02940.08350.18270.27540.30290.31780.3271
N136136136136136136136

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

or Create an Account

Close Modal
Close Modal