The impact of the hope growing account program on participants’ economic well‐being in South Korea
Bibliographic record
Abstract
In 2010, the Korean government introduced the Hope Growing Account (Hope) program. The Hope program combines elements of a social assistance scheme (monthly income grants) with matched funds for savings to encourage the working poor to increase income and build assets. This longitudinal study estimated changes in household economic well‐being among 895 low‐income households who participated in Hope between 2010 and 2012. Economic well‐being was measured by changes in household monthly income and income‐to‐needs ratio. The adjusted difference‐in‐differences estimation revealed that the impact of Hope varied over household income distributions: lower income households were more likely to increase their monthly earned income and income‐to‐needs ratio compared to demographically similar non‐participants, while higher income households were less likely to increase their income and income‐to‐needs ratio. We describe how future research is needed to better understand how the Hope program impacts household assets and behavioral changes in the long run.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".