Page 118 - IJPS-11-5
P. 118

International Journal of
            Population Studies                                        Endowment insurance and family consumption in China




            Table 8. Regression results of household consumption for   Table 9. Number of participants in different endowment
            different ages                                     insurance
            Independent variable  Type I         Type II       Types of pension insurance  Sample   Sample size
                                 households     households                              number of   for this type of
                                  (under      (60 years old and                        participants  insurance only
                                60 years old)    above)        Pension received from the   1051       556
                                 Dependent variable: Household   institution where he or she used to
                                        consumption            work after retirement
            Participation in    0.099*** (9.104)               Basic endowment insurance  3634       2610
            endowment insurance                                Supplementary enterprise   493         195
            Pensions (log)                    −0.008** (−2.356)  endowment insurance
            Constant           9.808*** (195.646)  9.931*** (58.019)  Commercial endowment insurance  498  173
            Control variables      Join           Join         Old rural endowment insurance  1236   1045
            Household fixed effects  Yes           Yes         New rural social endowment   8070     7543
            Year fixed effects      Yes            Yes         insurance
            Fixed effects F test  2.820 (p=0.000)  2.870 (p=0.000)  Urban and rural residents'   935  594
                                                               endowment insurance
            Model significance test  103.400 (p=0.000)  17.070 (p=0.000)
            Within R²              0.112          0.116          Initially, we selected ages 55 and 65 as alternative
            Sample size            22440          4484         breakpoints. Table 13 presents the results, revealing that
            Notes: *p<0.1; **p<0.05; ***p<0.01.                age effects on pension receipt are generally not statistically
                                                               significant at these breakpoints, except for a few marginal
            consistency, the analysis focuses on households with male   cases. Similarly, the impact of pension receipt on
            heads and employs a fuzzy breakpoint regression approach   consumption remains mostly insignificant across different
            to account for variations in pension receipt relative to the   age ranges. These findings indicate that the treatment effect
            retirement age.                                    is specific to age 60, thereby confirming the robustness of
              Figures  1  and  2  reveal  distinct  jump  points  near  the   the original breakpoint regression results.
            retirement age, indicating a relationship between pension   Subsequently, we excluded 302  samples near the
            receipt and household consumption. The fuzzy breakpoint   original breakpoint of age 60 to address potential
            regression results presented in  Table  11, utilizing the   manipulation concerns. Table 14 shows that even after this
            IV-2SLS method, isolates the effect of pension receipt by   exclusion, the effects of being over 60 on pension receipt
            using age 60 as an instrumental variable.          remain statistically significant at the 1% level. In addition,
              The results demonstrate a significant negative effect of   the impact of pension receipt on consumption continues to
            pension receipt on household consumption, suggesting   be significant across various age ranges, suggesting that the
            that receiving a pension leads to a reduction in spending.   causal relationship persists despite the removal of samples
            Table  12  demonstrates  a  significant  negative  effect  of   near the breakpoints.
            pension receipt on household consumption, suggesting   Finally,  we  performed  a placebo test by  omitting  all
            that receiving a pension leads to a reduction in spending.   control variables to determine if the observed effects were
            Furthermore, the analysis in  Figure  3 confirms that the   driven by covariates. The results in Table 15 demonstrate
            conditional densities of covariates remain continuous at the
            breakpoints, showing no significant jumps. This reinforces   that the effects of age over 60 on pension receipt and the
            the validity of the fuzzy breakpoint regression model and   subsequent  impact  on  household  consumption  remain
            supports the conclusion that receiving a pension may have   statistically significant at the 1% level. This confirms that
            an adverse effect on household consumption.        the consumption jump at the breakpoint is not attributable
                                                               to the inclusion of control variables, thereby supporting a
            3.5.3. Placebo test                                causal relationship between pension receipt and household
            The placebo test was conducted to evaluate the robustness   consumption.
            of the breakpoint regression results by introducing   Overall, the placebo tests validate the robustness
            alternative breakpoints at ages 55 and 65. This involved   of the breakpoint regression findings, indicating that
            assessing the impact of these new breakpoints on pension   the significant increase in  consumption at  age 60 is not
            receipt and household consumption.                 influenced by alternative breakpoints, sample exclusion, or


            Volume 11 Issue 5 (2025)                       112                        https://doi.org/10.36922/ijps.4857
   113   114   115   116   117   118   119   120   121   122   123