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Record W2033242878 · doi:10.1080/00036840802584927

Housing market cycles and duration dependence in the United States and Canada

2009· article· en· W2033242878 on OpenAlexaffabout
Rose Cunningham, Ilan Kolet

Bibliographic record

VenueApplied Economics · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsBank of Canada
Fundersnot available
KeywordsEconomicsDuration (music)Probit modelEconometricsPopulationAggregate (composite)Business cycleMacroeconomicsDemography

Abstract

fetched live from OpenAlex

Housing wealth is a large component of households’ total wealth and plays an important role in aggregate business cycles. In this article, we explore data on real house price cycles at the aggregate level and city level for the US and Canada. Using a panel of 137 cities, we examine the duration and characteristics of housing market cycles in North America. We find that North American housing cycles are long, averaging 5 years of expansion and 4 years of contraction. We estimate a discrete time survival model with a probit specification for house price expansions and contractions. This model allows us to test for duration dependence. We find that US housing market expansions have positive duration dependence since their exit probabilities increase with duration, while contractions seem to have no duration dependence. Canadian house price cycles did not exhibit duration dependence. Standard determinants of house prices (interest rates, income and population growth) are included as controls.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.012
GPT teacher head0.177
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations42
Published2009
Admission routes2
Has abstractyes

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