Skip to main content

Table 3 Regression results of elderly support expenditure on different types of consumption

From: The crowding-out effect of elderly support expenditure on household consumption from the perspective of population aging: evidence from China

Variable con ccr mcr
(1) (2) (3) (4) (5) (6)
FE GMM FE GMM FE GMM
pod −0.3826c (− 5.64) −0.30464c (− 9.88) −0.3637c (− 5.59) −0.5008b (− 2.03) −0.2537c (− 5.26) 2.5472c (10.96)
pcai −0.00003 (− 0.02) 0.0023c (2.74) −0.0061c (− 3.15) −0.0051c (− 7.67) 0.0061c (4.76) 0.0028c (4.52)
scale −0.0076c (− 3.22) −0.0075c (− 6.64) 0.0083c (3.70) 0.0024c (2.68) − 0.0007 (− 0.48) 0.0051 (5.96)
gen 0.0022 (0.27) 0.0059b (1.75) −0.0092 (− 1.21) − 0.0074c (− 2.73) 0.007 (1.41) 0.0015 (0.58)
mar 0.0024 (0.31) 0.0072a (1.82) 0.0007 (0.1) −0.0025 (− 0.79) −0.0031 (− 0.69) −0.0047 (− 1.57)
house −0.0092 (− 1.26) −0.0075c (− 2.78) −0.0216c (− 3.29) −0.0077c (− 3.56) 0.0308c (6.00) 0.0152c (7.49)
old −0.182c (− 5.27) 0.0052b (2.39) 0.0249c (7.81) 0.0107c (6.16) −0.0067c (− 3.00) − 0.0158c (− 9.72)
Intercept term 0.6944c (30.42) 0.7447c (61.68) 0.2785c (12.26) 0.3011c (31.1) −0.0074 (− 0.5) −0.0457b (−5.02)
Instrument variable edu
age
Weak IV test 128.915 128.915 128.915
Sargan P-value 0.5102 0.2570 0.7394
Sample size 27,264 27,264 27,264 27,264 27,264 27,264