The effects of overwithholding and retroactive savings options on retirement savings: An experimental analysis
Bibliographic record
Abstract
Abstract In three experiments, we examine how the widespread phenomenon of overwithholding affects retirement savings and how the additional option at tax time of saving retroactively for retirement affects total savings levels. Our results show that overwithholding significantly reduces retirement savings. We show that this outcome can be explained by individuals' anchoring on their take‐home pay when making savings decisions and by individuals' reduced motivation to save in the presence of overwithholding. Moreover, we find that the introduction of an additional retroactive savings option at tax time increases overall savings by providing information about the correct after‐tax income and by emphasizing the importance of a savings norm that nudges individuals to save. Furthermore, our findings demonstrate that immediate taxation (back‐loaded retirement plans) results in greater effective savings than deferred taxation (front‐loaded retirement plans), irrespective of whether there is overwithholding or the existence of an additional option to save. Policy‐makers may therefore consider both the introduction of an additional savings option at tax time and immediate taxation as policy tools to encourage retirement saving.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 source (direct Gemma or distilled Codex), 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".