Social Security Reform and Personal Saving: Evidence from Brazil
Bibliographic record
Abstract
The population aging process has caused a financial imbalance in the social security systems of countries based on pay as you go system, as is the case in Brazil. To face this challenge, the Brazilian governments have undertaken several reforms since the 1988 Constitution. Confronting the life cycle hypothesis, the aim of this paper is to estimate the causal effects of Social Security Reforms on the Likelihood of Saving in Brazil by exploring two exogenous events, the 41th (of 2003) and 47th (of 2005) Constitutional Amendments, that reduced the expectations of benefits only for public servants. Using data from the House Budget Surveys, the results of differences-in-differences models show that the reform increased in a range of 2.1 to 2.9 percentage points in the probability of saving of the treated group. The results are in line with the recent literature indicating that reforms contribute to an increase in personal savings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".