시장환경의 변화에 따른 가계포트폴리오 변화유형 및 각 유형별 가계특성 분석 : IMF 경제위기동안의 재무의사결정 유형
Why this work is in the frame
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Bibliographic record
Abstract
【The instability in the current financial market caused consumers a lot of difficulties in their financial decision making. The purpose of this study is to classify the changes in household portfolios during the economic crisis under IMF-trusteeship (IMF Crisis hereafter), and to examine the characteristics of the households according to the types of household portfolio changes. The data were taken from 1996 and 1999 Korean Household Panel Studies, and 1,293 households were selected for the final analysis. Methods of analysis included frequencies, percentages, Chi-square tests, F-tests, and t-tests. Major findings are as follows: 1. In the midst of the financial market changes during the period of the IMF crisis, consumers tended to manage their household portfolio differently according to their household characteristics. 2. The changes of household portfolio can be classified into two different types: the changed type (44.4%) and the unchanged type(55.6%). There are significant differences in the level of wealth, family life cycle stage, housing tenure, and the household head's job, between the changed type and the unchanged type. The family members of the unchanged type are more likely to be older and relatively wealthy compared with the families in the changed type. 3. The changes of household portfolio can be further classified into six different types: the unchanged-liquidity type (21%), the unchanged-multiplication type (24.6%), the unchanged-insurance type (9.8%), the changed-to-liquidity type (13.9%), the changed-to-multiplication type (13.0%), and the changed-to-insurance type (17.5%). There are significant differences in income level, wealth level, family life cycle stage, housing tenure, and the job of household head among the six types of changes.】
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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 it