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Table 7 Logistic regression of moving from unemployment to inactivity for the workers receiving or not 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 or not receiving old-age benefits in t 0

 

Odds ratio

Standard error

Odds ratio

Standard error

Age (years)

 50–54

1

 

1

 

 55–59

2.135a

0.213

2.102a

0.208

 60–64

6.593a

1.469

4.602a

0.840

 >65

  

2.974a

1.014

Sex

 Males

1

 

1

 

 Females

1.607a

0.151

1.519a

0.137

Δunemployment rate b

0.716a

0.023

0.736a

0.023

Old-age benefits as a source of income in t 1

 No

1

 

1

 

 Yes

2.285a

0.236

2.284a

0.231

Log likelihood

−1471.27

 

−1539.94

 

LR

276.51 (df = 5)

 

296.78 (df = 6)

 

p value

0.00

 

0.00

 

McFadden’s adj. R 2

0.082

 

0.088

 

Sensitivity

60.47%c

 

62.27%d

 

Specificity

66.51%c

 

65.86%d

 

Correctly classified

64.76%c

 

64.79%d

 
  1. The sample comprised individuals aged either 50–59 (females) and 50–64 (males) or workers aged 50+; annual data for the period 2004–2010. Sample size for the workers aged 50–59 (females) and 50–64 (females)—2676 observations; for the workers aged 50+—2769 observations
  2. asignificant at the 1% level
  3. bRefers to a 1 percentage point change in the negative change in the unemployment rate
  4. cCut-off level in the classification table 0.2892 (based on the share of the outflow in the whole sample)
  5. dCut-off level in the classification table 0.2987 (based on the share of the outflow in the whole sample)
  6. Source: authors’ calculations; data sources: LFS