Intervention (Hidden)
At the end of the “China Residents Retirement Readiness Survey 2025,” we embedded a randomized information experiment to test how personalized tax-saving reminders affect individual decisions to open and contribute to personal pension accounts.
All respondents who had not yet opened a personal pension account (QS01 = 2) were randomly assigned into two groups of approximately equal size.
Treatment group: respondents were shown a personalized message (QSa) stating that if they opened a personal pension account and contributed the maximum annual amount of 12,000 RMB, they could reduce their personal income tax by approximately AAA RMB per year. The amount AAA was calculated automatically based on the respondent’s self-reported after-tax annual income (QM01), following China’s marginal income tax brackets. Specifically:
< 60,000 RMB → 360 RMB reduction
60,000–92,041 RMB → 360 RMB reduction
92,041–189,480 RMB → 1,200 RMB reduction
189,481–322,680 RMB → 2,400 RMB reduction
322,681–402,960 RMB → 3,000 RMB reduction
402,961–609,960 RMB → 3,600 RMB reduction
609,961–854,760 RMB → 4,200 RMB reduction
854,760 RMB → 5,400 RMB reduction.
After reading the information, participants were asked again about their intention to open a personal pension account (QSa1a) and how much they planned to contribute in the next year (QSa2a).
Control group: respondents did not receive the tax-saving message and were asked the same follow-up questions (QSa1b, QSa2b) without any additional information.
Both respondents and enumerators were blind to treatment status during fieldwork (double-blind design). Randomization occurred automatically within the survey program.
The primary outcomes are:
Intention to open a personal pension account (binary);
Planned annual contribution level (categorical from 1,000 RMB to 12,000 RMB);
Changes in responses relative to pre-intervention baseline answers (QS08 and QS09).
The intervention allows us to estimate the causal effect of salient tax benefit information on retirement savings behavior and assess heterogeneity by income, education, and financial literacy.