Table A4.

ATT Estimates: Baseline, reweighted estimates and sensitivity analyses (rich controls and AIPW)

 BaselineReweightedRich controlsAIPW
Outcome(ATT 1)(ATT-RW)(ATT-RC)(ATT-AIPW)
Contract duration106.72***107.48***119.51***114.89***
Std. Error(20.97)(24.76)(21.86)(17.41)
Monthly Salary 2017 (€)174.67***142.56***186.07***156.01***
Std. Error(39.00)(41.97)(33.13)(26.09)
Monthly Salary 2018 (€)189.86***160.15***222.39***191.27***
Std. Error(46.12)(50.58)(42.16)(33.66)
Monthly Salary 2019 (€)194.74***170.06***223.89***207.27***
Std. Error(47.82)(55.79)(45.92)(35.99)
Note(s):

ATT = Average Treatment Effect on the Treated. Significance levels: ***p < 0.01, **p < 0.05, *p < 0.10. Reweighted estimates adjust the full IC sample to match the observable characteristics of first-time labor market entrants. Estimates with rich controls extend the baseline specification by incorporating firm size (number of employees), number of prior contracts, and total days worked prior to treatment. Sector of activity is already controlled for, while measures capturing months previously worked or unemployment spells are excluded to limit multicollinearity. AIPW estimates are obtained using a doubly robust augmented inverse probability weighting (AIPW) estimator and include an extended specification including rich pretreatment labor-market histories (prior earnings, months worked, unemployment spells, number and duration of previous contracts, firm size and sectoral information, and a finer age structure). Robust standard errors are reported in parentheses

Source(s): Authors’ calculations using CSWL data

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