Reducing Multidimensional Poverty of Elderly: The Role of the New Rural Pension Scheme in China
Table 6
Poverty-reduction effect of insured-subsamples’ receiving the NRPS income.
Variable
Pooled cross section data
Panel data sample
(1) pension
(2) lpension_amount
(3) pension
(4) lpension_amount
Multipoverty
−0.0055 (0.0369)
−0.0031 (0.0052)
0.0001 (0.0135)
−0.0008 (0.0019)
Lifepoverty
−0.0656 (0.0313)
−0.0117 (0.0043)
−0.0013 (0.0134)
−0.0011 (0.0019)
Healthpoverty
0.1379 (0.0332)
0.0162 (0.0046)
0.0051 (0.0155)
0.0004 (0.0022)
Socialpoverty
−0.0414 (0.0341)
−0.0066 (0.0047)
−0.0096 (0.0146)
−0.0011 (0.0020)
Swell-beingpoverty
−0.0262 (0.0326)
−0.0038 (0.0045)
−0.0150 (0.0155)
−0.0018 (0.0022)
Province fixed
Yes
Yes
Yes
Yes
Year fixed
Yes
Yes
Yes
Yes
Number of PID
11609
11609
6046
6046
Observations
19625
19625
14065
14065
Note: robust standard errors in brackets. The symbols ,, and indicate statistical significance at the 10%, 5%, and 1% levels, respectively. And the control variables are the same as in Table 4. The FE model uses a sample of at least two-period observations and contains 6,046 individuals (PID).
