Estimation of Consumption Function for Developing Economies: China, Turkey, Vietnam and Bangladesh
Bibliographic record
Abstract
This study analyses the determinants of consumption function for four countries: China and Turkey as Upper Middle-Income Economies (UMIE); Bangladesh and Vietnam as Lower Middle-Income Economies (LMIE). It used a model based on the ARDL technique to analyze the time series data for the period of 1985- 2018. The results reveal that wealth and labor income have a similar impact on consumption in UMIE and LMIE since they affect significantly and positively aggregate consumption. Unemployment and real interest rates have an analogous result for UMIE while assorted results LMIE. The real interest rate harms RPAC as evidence of income effect. However, the short-term wealth and real GDP positively affect real RPAC whereas the unemployment rate and real interest rate negatively affect aggregate real private consumption of the selected economies.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".