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Table 8 Robustness check for labour decisions—accounting for misreporting of SSS payout receipt

From: The effect of non-contributory pensions on labour supply and private income transfers: evidence from Singapore

 

(1)

(2)

(3)

(4)

VARIABLES

Whether received income

Amount received

Amount received (positive)

Probability of working full- time after age 70

Received SS × Jan

0.00542

22.73

− 183.1

−2.383

(0.0207)

(68.19)

(156.2)

(3.313)

Received SS × Feb

0.00959

28.99

3.922

–

(0.0201)

(34.37)

(91.62)

–

Received SS × Mar

0.0180

52.71

−125.8

–

(0.0197)

(47.40)

(220.2)

–

Received SS × announce-to-pay × received in 2016 and 2017

0.0268

123.6

32.67

−2.297

(0.0209)

(121.4)

(101.1)

(3.579)

Received SS × post-pay × received in 2016 and 2017

−0.00415

82.01

21.38

−4.259

(0.0204)

(99.73)

(95.84)

(3.264)

Observations

16,062

15,997

4596

3536

R-squared

0.808

0.701

0.751

0.638

  1. Notes:
  2. 1Standard errors clustered at the household level in parentheses. ***, **, and * represent statistical significance at the 1, 5, and 10% level of significance respectively
  3. 2Dependent variables are shown at the top of each column. Values in columns (1)–(3) are reported at the individual and monthly level, with column (3) including only responses with positive values. Values in column (4) are collected at the individual level every quarter
  4. 3Results are estimates of coefficients in Eq. (3). In the interest of space, we show only the coefficients from interacting the policy variables with the dummy which represents the subset of individuals who reported receiving SSS payout at least once in 2016 and at least once in 2017. The suppressed category of individuals are those who reported not receiving SSS payout in 2016 and 2017. The sample is restricted to respondents who are age-eligible for SSS (i.e. aged 65 and above in 2016), Singapore citizens, live in public housing flats, and with a propensity score of 0.2–0.8
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