The social stratification of homeowners’ housing wealth: Bringing a dynamic approach through the price gap index
Bibliographic record
Abstract
The spatio-temporal variation of housing prices is central to unveiling the distribution of housing wealth (HW) across social groups. This paper presents a price decomposition framework to analyze the social differentiation of HW in terms of housing characteristics, location, and transaction date across labor-based occupational categories (OCs) of homeowners. Beyond variegated housing prices and capital gains, we highlight the importance of the concept of Price Gap Index (PGI)—the difference between average buyer and seller prices for each OC—to capture the redistribution of HW induced by housing transactions. Using data over two decades (1998–2017) for the French region Bourgogne-Franche-Comté , we find that static HW differences reflect the usual social hierarchy of the labor market. However, the PGI from a dynamic decomposition shows more regressive results of HW accumulation across OCs than the capital gains computed from the usual housing price index over time. These results confirm that spatial dynamics in the housing markets are an important generator of inequality, acting through the redistribution of HW during housing transactions.
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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 | 0.001 | 0.001 |
| 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".