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. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: J Econ Ageing. 2021 Jun 2;20:100329. doi: 10.1016/j.jeoa.2021.100329

Table 3.

Heterogeneity Analysis of the Impact of Financial Literacy by Wealth, Age and Financial Positions

Panel A: Heterogeneity analysis by non-housing wealth level

Dep. Var. = Help from profl/other non family advisors (0/1)

Non-housing Wealth<Median Non-housing Wealth>Median


(1) Probit (2) IVProbit (3) Probit (4) IVProbit
FinLit score 0.059 0.034 ** 0.045 0.043 **
(0.483) (0.001) (0.133) (0.004)

N 136 136 308 308
Pseudo R-sq/Log likelihood 0.549 −188.9 0.186 −486.5

Panel B: Heterogeneity analysis by age group

Help from profl/other non family advisors (0/1)

below Age 65 Age 65–74 Age 75+

(1) Probit (2) IVProbit (3) Probit (4) IVProbit (5) Probit (6) IVProbit
FinLit score 0.054 0.057 * 0.001 0.012 ** 0.090 0.056 **
(0.178) (0.016) (0.645) (0.000) (0.182) (0.000)

N 223 223 91 88 130 122
Pseudo R-sq/Log likelihood 0.328 −328.9 0.621 −102.9 0.349 −204.5

Panel C: Heterogeneity analysis by respondents’ financial positions

Dep. Var. = Help from profl/other non family advisors (0/1)


High complexity = 1 High complexity = 0


(1) Probit (2) IVProbit (3) Probit (4) IVProbit
FinLit score 0.081 * 0.125 ** 0.028 0.024 **
(0.025) (0.000) (0.385) (0.000)

N 80 77 364 364
Pseudo R-sq/Log likelihood 0.281 −118.9 0.351 −558.1

This table replicates the results of Table 2, columns 5–6, by non-housing wealth (Panel A), age groups (Panel B), and respondents’ financial positions (Panel C). Estimated marginal effects of control variables are omitted for brevity. See Appendix 1 for variable definitions. Regressors include missing data controls. p-values for the estimated coefficients’ Z-statistics based on clustered standard errors at the household level are reported in parentheses. * and ** represent statistical significance at 5% and 1% level, respectively.