Examining building age, rental housing and price filtering for affordability in Melbourne, Australia
Bibliographic record
Abstract
Governments worldwide have responded to housing affordability challenges with supply-side solutions. Proponents of these approaches often draw on the notion of ‘filtering effects’ to argue that new supply naturally trickles down to lower-income households over time, improving affordability. This study examines the characteristics of Naturally Occurring Affordable Housing in Melbourne, Australia, analysing how dwelling age impacts rental cost. We specify a non-linear relationship between building age and rents through hedonic rent modelling, reflecting a premium for historic properties in inner Melbourne. We also conduct a cluster analysis of rental listings and measure affordability by cluster. Our results problematise the notion of filtering, finding that most contemporary affordable housing was initially built in the 1960s and 1970s as social housing or targeted at low-income households. We argue that filtering in this instance is not natural but is instead a reflection of historic government expenditure and past construction choices, or ‘filter up’.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 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".