Philippines 2007 National Transfer Accounts: Consumption, Labor Income, and Lifecycle Deficit by Income Group
Bibliographic record
Abstract
The NTA flow accounts for the Philippines for the year 2007 include not only national level estimates but also estimates by income group. Three income groups are defined, referred to as income terciles. This paper compares age profiles of consumption and labor income across income groups. The age profiles were generally found to have the expected shapes but the profiles also showed the progressively lower per capita consumption and labor income at each age as one moves from the top tercile and on to the middle and bottom terciles.Other key findings include: (1) the young incur lifecycle deficit longer in the bottom tercile (age 30 years) compared to the middle and top terciles (ages 26 and 24 years, respectively); (2) the elderly incur lifecycle deficit earlier in the bottom tercile (age 53 years) compared to the middle and top terciles (ages 56 and 59 years, respectively); (3) the young deficit age groups account for 66, 57, and 42 percent of aggregate consumption in the bottom, middle, and top income terciles, respectively; (4) the spans of the surplus ages are shorter for the bottom and middle terciles (22 and 29 years, respectively) compared to that for the top tercile (34 years); (5) the elderly deficit age groups account for 8, 9, and 11 percent of aggregate consumption in the bottom, middle, and top income terciles, respectively; (6) the ratio of the surplus generated by the working age group to the total lifecycle deficits of the dependent populations were computed to be 9, 22, and 41 percent for the bottom, middle, and top income terciles, respectively.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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; 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".