THREE ESSAY ON INTERGENERATIONAL FINANCIAL TRANSFERS AND HOUSEHOLD FINANCIAL OUTCOMES

This dissertation examined intergenerational financial transfers through three essays employing distinct methodological approaches. A critical pattern emerged: while cross-sectional analyses revealed strong associations between family support and positive financial out comes, the one study employing within-household causal identification found null effects, suggesting selection rather than causation drives observed correlations. Essay 1 analyzed private annuity ownership and transfer behavior using Health and Retirement Study panel data (N = 97,921 observations). Household fixed-effects models leveraging 1,673 within-household changes yielded null effects (𝛽 = 0.007, p = .719), suggesting cross-sectional correlations reflect selection on household traits rather than causal effects. Essay 2 employed double/debiased machine learning with the full National Financial Capability Study sample (N = 27,118) to estimate associations between intergenerational support and financial vulnerability. Support associated with lower vulnerability (−0.11 SD; −11 pp), with effects concentrated among low-income households (−0.18 SD). Component decomposition revealed expense assistance correlated positively with vulnerability (+0.18 SD), indicating reverse causality, while gifts and inheritance expectations showed negative associations. Essay3examinedsatisfactionamongNFCSinvestors(N=2,824;61%college-educated, 40% earning ≥ $100K) using Bayesian hierarchical models. Support strongly associated with satisfaction (OR = 2.78, 95% CrI [2.20, 3.52]), though generalizability to lower-wealth households is limited. Thefindingsdemonstratethatobservedcorrelationslikelyreflectselection onhousehold characteristics rather than causal effects amenable to policy intervention, underscoring the importance of public safety nets for those without family resources.

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Journal
ThinkTech (Texas Tech University)
Published
2025-12-01
Primary Topic
Financial Literacy, Pension, Retirement Analysis
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article

THREE ESSAY ON INTERGENERATIONAL FINANCIAL TRANSFERS AND HOUSEHOLD FINANCIAL OUTCOMES

Yixuan Jing
ThinkTech (Texas Tech University)
Financial Literacy, Pension, Retirement Analysis
article

THREE ESSAY ON INTERGENERATIONAL FINANCIAL TRANSFERS AND HOUSEHOLD FINANCIAL OUTCOMES

Yixuan Jing
article en

Abstract

This dissertation examined intergenerational financial transfers through three essays employing distinct methodological approaches. A critical pattern emerged: while cross-sectional analyses revealed strong associations between family support and positive financial out comes, the one study employing within-household causal identification found null effects, suggesting selection rather than causation drives observed correlations. Essay 1 analyzed private annuity ownership and transfer behavior using Health and Retirement Study panel data (N = 97,921 observations). Household fixed-effects models leveraging 1,673 within-household changes yielded null effects (𝛽 = 0.007, p = .719), suggesting cross-sectional correlations reflect selection on household traits rather than causal effects. Essay 2 employed double/debiased machine learning with the full National Financial Capability Study sample (N = 27,118) to estimate associations between intergenerational support and financial vulnerability. Support associated with lower vulnerability (−0.11 SD; −11 pp), with effects concentrated among low-income households (−0.18 SD). Component decomposition revealed expense assistance correlated positively with vulnerability (+0.18 SD), indicating reverse causality, while gifts and inheritance expectations showed negative associations. Essay3examinedsatisfactionamongNFCSinvestors(N=2,824;61%college-educated, 40% earning ≥ $100K) using Bayesian hierarchical models. Support strongly associated with satisfaction (OR = 2.78, 95% CrI [2.20, 3.52]), though generalizability to lower-wealth households is limited. Thefindingsdemonstratethatobservedcorrelationslikelyreflectselection onhousehold characteristics rather than causal effects amenable to policy intervention, underscoring the importance of public safety nets for those without family resources.

ThinkTech (Texas Tech University)
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Openalex Percentile: Top 12%
Financial Literacy, Pension, Retirement Analysis
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