Macroeconomic determinants of Malaysia housing price / Nur Nadhirah Ahmad Tajudin
Bibliographic record
Abstract
The purpose of this research is to examine at the factors that affect Malaysian house prices from 2011 to 2021. The continuing rise in Malaysian property prices generates several difficulties, including housing affordability, unsold residential units, and household debt. However, house ownership remains a family dream and is the most expensive investment. The purpose of this research is to look at the link between macroeconomic factors and home prices. Macroeconomic statistics on the exchange rate, GDP growth, loan rate, unemployment rate, real property gain tax, and housing stock were gathered quarterly from 201 1 quarter one to 2021 quarter two. This study also includes descriptive tests. regression analysis (OLS regression), t-tests, f-tests, and heteroscedasticity tests. The purpose of the study shows if dependent variables (HPI) and independent variables such as lending rate, gross domestic product, unemployment rate, exchange rate and real property gain tax have significant relationship or not according 5% of level significant.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".