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Financial Transparency and Financial Well-Being: The Moderating Role of Gender in Marital Communication Cover

Financial Transparency and Financial Well-Being: The Moderating Role of Gender in Marital Communication

Open Access
|Aug 2026

Figures & Tables

Table 1.

Individual and partnership demographics by gender

VariableFemaleMale
meansdmeansd
Individual Characteristics
  N5454
  Age (years)46.1312.3848.7813.55
  Race (% White)59.3%64.8%
  Matched on Race83.3%
  Nationality (% U.S. born)50.0%46.3%
  Matched on Nationality85.2%
Relationship Characteristics
  Kids (count)0.76sd=1.01
  Relationship Length (years)19.8911.1519.7811.05
  Previous Partners0.350.590.430.77
Table 2.

Primary regression models to predict financial anxiety.

FemaleMale
CoefSEBoot LBBoot UBCoefSEBoot LBBoot UB
Intercept2.780.970.864.781.361.41−1.254.04
Strain0.760.130.570.980.630.210.270.96
FTS−0.190.17−0.540.130.120.24−0.390.63
AIC172.57205.59
BIC180.52213.54

[i] Note: We ran separate models for both sex categories. Each regression model was run with 1,000 bootstrap samples. The model coefficients displayed are the means from all bootstrap iterations. The 95% confidence interval reflects the inner 95% of output coefficients. Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) are shown to describe the fit of the models.

Table 3.

Regression models to predict financial anxiety using additional predictors.

FemaleMale
CoefSEBoot LBBoot UBCoefSEBoot LBBoot UB
Intercept1.611.73−1.735.400.142.82−5.586.76
Strain0.600.140.300.850.500.27−0.061.03
FTS−0.270.16−0.710.080.010.25−0.530.52
zWorth−0.380.21−0.890.00−0.510.29−1.160.13
Breadwinner0.690.350.031.35−0.110.52−1.251.02
Financial DM−0.970.36−1.74−0.230.090.49−0.871.12
Quality−0.551.50−3.572.571.702.43−3.915.67
Length0.020.02−0.010.06−0.020.02−0.070.04
Upbringing0.130.10−0.100.360.010.15−0.290.34
Education0.260.20−0.160.600.200.17−0.160.59
AIC169.68211.14
BIC191.56233.02

[i] Note: We ran a separate model for each sex category. Net worth was standardised before inclusion as a predictor. Breadwinner and financial decision maker were dummy-coded (1 = claims primary role, 0 = does not claim this primary role). Four satisfaction items were rescaled to range from 0 to 1 and then averaged. Each regression model was run with 1,000 bootstrap resamples. The model coefficients displayed are the means from all bootstrap iterations. The 95% confidence interval reflects the inner 95% of output coefficients. Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were each reported to describe the fit of the models.

Figure 1.

Predicted vs Self-Reported Responses.

Note: Each panel displays means and standard errors and compares predicted (P) responses to self-reports (S). Female (male) responses are labelled in red (blue). Predicted responses and actual responses are displayed in pairs.

Table 4.

Correlations and Sign Tests

RVpRVpRVp
ComparisonSpending SecretsLie about SpendingLie about Transactions
self-self0.34133.50.900.2958.50.630.1265.00.59
female predicts male0.5554.50.020.7416.50.010.6633.50.01
male predicts female0.0888.50.910.3759.00.980.2577.50.73
Disclose BonusDisclose EarningsTrust Judgment
self-self0.3469.00.620.31131.00.15−0.31247.00.03
female predicts male0.3768.00.700.7290.00.860.12166.50.06
male predicts female0.3758.50.730.51114.50.200.38287.00.65
Disclose All PurchasesJust Getting ByWorry about Running Out
self-self0.34329.50.390.69258.50.840.53482.00.33
female predicts male0.44274.00.060.67366.00.240.53293.00.83
male predicts female0.34297.00.280.58315.50.290.34373.00.98

[i] Note: Table 4 displays Polychoric correlations (R) and Wilcoxon rank-sign tests (VWilcoxon and p-value) comparing (1) female and male self-reports (self-self), (2) females predicting male responses, and (3) males predicting female responses.

DOI: https://doi.org/10.2478/fprj-2026-0011 | Journal eISSN: 2206-1355 | Journal ISSN: 2206-1347
Language: English
Published on: Aug 7, 2026
Published by: Financial Advice Association of Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Daniel M. Benjamin, Angela Chung, Ronald J. Chenail, Florence Neymotin, published by Financial Advice Association of Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.