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Table 6 Logistic regression of moving from unemployment to inactivity for workers receiving old-age benefits in t 0

From: The impact of easy and early access to old-age benefits on exits from the labour market: a macro-micro analysis

Workers receiving old-age benefits in t 0
  Odds ratio Standard error Odds ratio Standard error
Age (years)
 50–54 1   1  
 55–59 1.747b 0.268 1.748b 0.267
 60–64 4.094b 1.342 3.746b 0.887
 >65    3.068b 1.050
Sex
 Males 1   1  
 Females 1.441a 0.211 1.460b 0.198
Δunemployment rate− c 0.827b 0.040 0.866b 0.039
Log likelihood −582.66   −640.32  
LR 42.95 (df = 4)   57.99 (df = 5)  
p value 0.00   0.00  
McFadden’s adj. R 2 0.036   0.043  
Sensitivity 45.92%d   53.02%e  
Specificity 68.46%d   64.86%e  
Correctly classified 60.41%d   60.40%e  
  1. The sample comprised individuals aged either 50–59 (females) and 50–64 (males) or workers aged 50+; annual data for the time period 2004–2010. Sample size for the workers aged 50–59 (females) and 50–64 (males)—927 observations; for the workers aged 50+—1010 observations
  2. asignificant at the 5% level; bsignificant at the 1% level
  3. cRefers to a 1 percentage point change in the negative change in the unemployment rate
  4. dCut-off level in the classification table 0.3571 (based on the share of the outflow in the whole sample)
  5. eCut-off level in the classification table 0.3772 (based on the share of the outflow in the whole sample)
  6. Source: authors’ calculations; data sources: LFS