Skip to main content

Table 22 Temporal impact of receiving SSS payouts on expenditure

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

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

VARIABLES

Total

Durables

Durables subset

Non-durables

Food

Tobacco

Clothes /Personal care

Health

Leisure

Received SS × Jan

10.96

25.42

17.15

−13.56

− 10.34

− 1.938

−0.111

3.104

1.202

(105.7)

(47.89)

(44.50)

(85.97)

(22.58)

(1.984)

(10.43)

(27.82)

(32.62)

Received SS × Feb

170.4

78.94

50.26

91.79

18.00

1.000

7.930

−12.82

39.06

(117.3)

(49.61)

(41.93)

(100.4)

(21.92)

(2.097)

(8.395)

(26.39)

(54.58)

Received SS × Mar

221.6

52.35

50.50

170.5

−9.365

−2.991

1.495

−14.51

40.79

(179.1)

(49.03)

(46.32)

(167.2)

(19.99)

(2.499)

(7.264)

(27.42)

(53.17)

Received SS × announce-to-pay

93.58

62.38*

57.99**

34.20

24.85

−1.395

11.16**

−34.18

7.451

(95.86)

(32.30)

(26.03)

(84.04)

(16.19)

(1.898)

(5.537)

(31.45)

(28.71)

Received SS × Aug-Sep 2016

185.7*

79.09**

63.42**

106.0

2.166

−1.336

8.770

16.14

29.78

(98.10)

(35.30)

(28.42)

(82.81)

(18.38)

(2.097)

(6.582)

(29.40)

(39.63)

Received SS × Oct-Dec 2016

94.09

48.21

32.89

46.20

6.902

−0.726

4.595

−1.649

−2.303

(95.73)

(39.94)

(34.76)

(78.81)

(18.41)

(2.414)

(6.789)

(26.37)

(28.84)

Received SS × Jan-Mar 2017

75.33

47.37

39.31

27.60

−13.18

−1.812

3.015

2.897

13.82

(105.9)

(33.80)

(29.08)

(92.86)

(19.71)

(2.278)

(6.099)

(26.67)

(32.91)

Received SS × Apr-May 2017

125.5

62.46

49.35

63.29

−11.86

−1.848

9.350

10.25

9.948

(106.2)

(38.58)

(34.65)

(95.81)

(19.91)

(2.799)

(8.237)

(33.34)

(36.45)

Observations

15,970

16,019

16,019

15,970

16,019

15,909

15,914

16,019

16,019

R-squared

0.384

0.128

0.124

0.440

0.727

0.848

0.383

0.197

0.183

  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. All expenditure values are reported at the couple (respondent and spouse if respondent is married) and monthly level. Total expenditure excludes cash gifts. Durables include furniture/furnishings, household appliances, home and vehicle repair/maintenance. Durables subset includes only furniture/furnishings and household appliances. Non-durables are based on the difference between total expenditure and durables. The sub-categories of non-durables captured in columns (5)–(9) are not exhaustive
  4. 3Results are estimates of coefficients in Eq. (2). 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