The Impact of the Goods and Services Tax on Mortgage Costs: Evidence from Australian Mortgage Corporations
Bibliographic record
Abstract
Australia has seen significant rises in mortgage costs and sharp declines in housing affordability in the past decade or so, which corresponds with the introduction of the Goods and Services Tax (GST) in July 2000. To what extent the GST has impacted mortgage costs is the research question. This study investigates the GST impact on the mortgage costs of Australian mortgage corporations. Using data of mortgage corporations operating in Australia, we perform t-tests and multivariate regression analysis to examine the GST effects on mortgage yield spreads. The empirical results clearly indicate that mortgage corporations increased their mortgage charges in the post-GST periods significantly beyond the magnitude of the GST. Furthermore, the lenders started to increase the yield spreads before and continued to increase the spreads after the implementation of the GST, indicating the rise in mortgage costs was not a one-off surge. The findings offer insights into mortgage costs and have significant policy implications and wider economic relevance.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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".