An Empirical Analysis of the Displacement Effect of TFSAs on RRSPs
Bibliographic record
Abstract
The tax-free savings account (TFSA), introduced in 2009, was intended by the Canadian government to provide an alternative catchment for savings in addition to registered retirement savings plans (RRSPs). However, little empirical evidence exists regarding the impact of saving in TFSAs on saving in RRSPs. To investigate this issue, we conduct empirical analysis, using data from Statistics Canada's Longitudinal Administrative Databank, which contains annual TFSA and RRSP contributions for a sample of 20 percent of all Canadian taxfilers. We find evidence of a displacement effect of TFSAs on RRSPs: every 1 percent increase in a TFSA contribution reduces an RRSP contribution by approximately 0.4 percent. Our findings have implications for Canadians' ability to self-fund their retirement, as well as for the Canadian government's ability to generate future tax revenues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".