The quarter century record on housing affordability, affordability drivers, and government policy responses in Australia
Bibliographic record
Abstract
Purpose The purpose of this paper is to analyse the record on housing affordability in Australia over the period 1985 to 2010, conceptually link this with the purported demand and supply drivers given in the literature, and comment on government policy responses. The paper also provides a suggested framework for future research on housing affordability. Design/methodology/approach The paper employs descriptive analysis of measures of affordability using commercial and other information. In addition, the paper undertakes analysis of the affordability drivers and government responses using recent governmental inquiries and other research into housing affordability. Findings Housing affordability in Australia has worsened significantly in the past quarter century, including in both urban and regional areas, and is now among the world's most unaffordable. The main contributor at the national level has been the escalation of housing prices because of continuing strong demand arising from strong economic and population growth, the availability of cheaper and more accessible finance, and tax and other incentives for home and investor housing ownership. An additional contributor is unresponsive housing supply resulting from an extensive governmental role in land release and zoning, infrastructure charges, and building and environmental regulation. Research limitations/implications As an analytical paper, the central aim is to summarise the findings and conclusions of other work and provide a suggested framework for future research. Accordingly, no attempt made to model directly the relationship between housing affordability, its demand and supply drivers and government policy responses. Practical implications There is a need to reassess government policy at all levels as it relates to population, economic, urban, and environmental planning and government regulation and taxation and housing affordability. Need for future empirical work to quantify the causes and consequences of housing affordability. Originality/value This study provides a complete account of housing affordability and policy and the literature on housing affordability in Australia over the past 25 years.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".