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Help Please: A Gender Perspective on Differences in Financial Help-Seeking Behaviour in Light of Retirement Preparedness, Risk Tolerance, and Financial Knowledge Cover

Help Please: A Gender Perspective on Differences in Financial Help-Seeking Behaviour in Light of Retirement Preparedness, Risk Tolerance, and Financial Knowledge

Open Access
|Jul 2026

Figures & Tables

Table 1.

Descriptive statistics for the total sample, men, and women in the 2022 SCF

VariablesTotal Sample n = 4,595Men n = 2,593Women n = 2,002
Prop (%)M (SD)Prop (%)M (SD)Prop (%)M (SD)MinMax
Help-seeker (Stage four)6.20 (3.17)6.42 (2.98)5.98 (3.33)010
Perceived retirement preparedness3.05 (1.32)3.23 (1.31)2.89 (1.31)15
Intentional saver54.6858.4850.9701
Owns retirement account41.5545.8637.3501
Risk tolerance4.24 (2.74)4.81 (2.65)3.68 (2.70)010
Objective financial knowledge2.23 (.81)2.41 (.73)2.05 (.85)03
Subjective financial knowledge7.25 (2.16)7.36 (2.02)7.16 (2.29)010
Age52.44 (17.61)51.84 (17.41)53.04 (17.79)1895
Log income11.14 (1.25)11.33 (1.39)10.95 (1.05)$0$458,000,000
IHS Net worth10.95 (6.51)11.82 (5.67)10.11 (7.13)$ (555,500.00)$2,390,000,000
White/Caucasian68.8972.5867.2601
Married63.2267.2855.2201
Employed61.0301
Education
Less than high school8.377.349.3801
Some college20.8920.5521.2201
Associate’s degree27.9923.6332.2501
Bachelor’s or master’s degree24.4629.0619.9801
Doctorate or professional degree18.2819.4217.1701

[i] Note. Statistics are population weighted. Min and max values reported for income and net worth are not transformed for descriptive purposes.

Table 2.

Results of gender differences between individual predictors

MenWomen
Most prominentBiggest advantageLevel of advantage% help-seekerMost prominentBiggest advantageLevel of advantage% help-seekerGap if equal
Perceived retirement preparedness4 to 522%/15%592%1 to 322%/15%179%4.4%
Intentional saver158%/41%Yes94%049%/42%No83%4.7%
Owns retirement account146%/37%Yes95%063%/54%No85%4.4%
Risk tolerance5 to 1012%/8%797%0 to 421%/10%066%2.0%
Objective financial knowledge354%/35%394%0 to 225%/12%0,181%0.3%
Subjective financial knowledge7 to 922%/16%793%1 to 6, 1014%/9%582%2.3%
EducationBachelor’s or more29%/20%40.96Associate’s or less32%/24%30.880.042
Table 3.

Results of OLS regression results

VariableCoefficientSEp
Perceived retirement preparedness0.110.050.036
Intentional saver (Is not an intentional saver)0.690.13< .001
Owns retirement account (Does not own)0.130.140.337
Risk tolerance0.190.03< .001
Expects future expense (Does not expect)0.160.120.185
Objective financial knowledge0.200.080.016
Subjective financial knowledge0.300.03< .001
Gender (Male)0.060.120.638
Age−0.020.00< .001
Log income−0.080.040.077
IHS Net worth0.010.010.206
White (Non-White)−0.220.130.088
Single (Married)−0.080.130.536
Employed (Unemployed)0.010.140.92
Education (Less than high school)
  Some college0.250.270.356
  Associate’s degree0.530.270.05
  Bachelor’s or master’s degree0.780.270.005
  Doctorate or professional degree0.630.280.027
Intercept3.060.57< .001

[i] Note. Source: 2022 Survey of Consumer Finances, weighted analysis using all five implicates and RII technique.

[ii] F(18, 4533.0) = 28.44, p < .001.

[iii] R2 = .17.

Table 4.

Difference due to explained and unexplained components in financial help-seeking

Financial help-seekingCoefficientp-value95% CIPercent
Explained Components0.514<0.001(.46, .57)115.5
Unexplained Components−0.0690.259(−.19, .05)−15.5
Total Difference0.445<0.001(.34, .54)
Table 5.

Multivariate decomposition results of gender differences and financial help-seeking

Group 1 = male (reference group)
Group 2 = female (comparison group)
Difference due to explained componentsDifference due to unexplained components
VariableCoefSEPercent sharedCoefSEPercent shared
Perceived retirement preparedness0.027*0.0105.97−0.1270.134−28.61
Intentional saver (Is not an intentional saver)0.051***0.00511.46−0.0290.057−6.42
Owns retirement account (Does not own)−0.013*0.007−3.00−0.217***0.047−48.74
Risk tolerance0.206***0.01846.44−0.0170.083−3.82
Expects future expense (Does not expect)−0.0010.001−0.18−0.221***0.057−49.67
Objective financial knowledge0.109***0.01824.460.355*0.14979.84
Subjective financial knowledge0.075***0.00416.850.773***0.207173.81
Age0.022***0.0035.05−0.2790.206−62.66
Log income−0.019*0.008−4.370.8900.470200.27
IHS Net worth0.049***0.01111.050.255**0.08857.27
White (Non-White)−0.022***0.004−5.06−0.263**0.076−59.1
Single (Married)0.0110.0162.51−0.0210.062−4.73
Employed (Not employed)−0.0190.011−4.24−0.191**0.068−42.99
Education (Less than high school)
  Some college−0.002*0.001−0.540.0350.0527.87
  Associate’s degree−0.077***0.015−17.360.213**0.07747.95
  Bachelor’s or master’s degree0.092***0.01620.740.0880.05019.7
  Doctorate or professional degree0.025***0.0045.710.175***0.04439.34

Note. Reference groups are in parentheses. Continuous variables do not have a reference group.

* p < .05,

** p <.01,

*** p < .001.

DOI: https://doi.org/10.2478/fprj-2026-0007 | Journal eISSN: 2206-1355 | Journal ISSN: 2206-1347
Language: English
Published on: Jul 4, 2026
Published by: Financial Advice Association of Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Ashlyn Rollins-Koons, Megan McCoy, Tanya Staples, Blake Gray, published by Financial Advice Association of Australia
This work is licensed under the Creative Commons Attribution 4.0 License.