Movilidad del ingreso en Costa Rica, 2001–2007
Bibliographic record
Abstract
In this paper we study year-to-year intra-generational income mobility in Costa Rica. To do so we use a panel data set constructed from the Household Surveys for Multiple Purposes (2001-2007) that allows us to follow the same households and persons from year-to-year. We find that there is substantial year-to-year income mobility in Costa Rica, especially in the middle of the income distribution. We also identify the factors that most affect year-to-year income mobility in Costa Rica. We find that per capita income is conditionally convergent; low-income families are more likely to experience an increase in income than are high-income families. Aside from initial per capita income, the three most important factors that explain changes in per capita household income in Costa Rica are, in order of importance: (1) changes in the employment status of household members; (2) changes in the number of dependents (children, elderly and other non-working members) in the household; and (3) the education of household members, especially the household head.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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; both teacher heads agree on what is shown here.
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".