Factors Affecting Residential House Prices in Malaysia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research attempts to examine the factors which have significant influence on house prices in Malaysia. It looks into the dynamics of housing prices from the second quarter of 1999 to the fourth quarter of 2009. Independent variables which have been tested against house price in Malaysia are changes in real Gross Domestic Product, Kuala Lumpur Composite Index, Consumer Price Index, Average Lending Rate, Housing Approval and Outstanding Residential Loan in Commercial Banks.\nEmploying the multi regression analysis, this research shows that changes in house prices could be largely explained by changes in real gross domestic product and changes in Kuala Lumpur Composite Index. A hedonic model for house price is developed from the multiple regression analysis to facilitate the prediction of house prices based on the independent variables. \nIn summary, this research highlights the source and nature of the property price fluctuation in Malaysia and let investors or policy makers to formulate an appropriate strategy to meet their objective in investing or making changes to current policy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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