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Record W2089881086 · doi:10.1108/17538271011049731

List price and sale price variation across the housing market cycle

2010· article· en· W2089881086 on OpenAlexaboutno aff
Stanley McGreal, L. Neville Brown, Alastair Adair

Bibliographic record

VenueInternational Journal of Housing Markets and Analysis · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsVolatility (finance)Standard deviationMarket pricePrice levelQuarter (Canadian coin)EconometricsFinancial economicsBiddingMonetary economicsMicroeconomicsStatisticsMathematics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to explore how the difference between the sale price and list price of houses varies across the market cycle. Design/methodology/approach The paper utilises quarterly transaction‐based information on house prices from the Belfast Metropolitan Area. The information is structured on a time series basis from 2002 to 2008. The analysis is concerned with the mean differences between list price and sale price, the standard deviation of the differences, the skewness and kurtosis of the distributions. Findings The results show that under normal market conditions the mean deviation between list price and sale price is small circa 1 per cent. However, the departure between list price and sale price becomes substantial on both the up‐ and down‐cycles of the market. The analysis shows that the highest mean positive deviation of 12.1 per cent occurred in the first quarter of 2007 and two quarters before sale prices peaked, suggesting that buyer bidding behaviour was changing prior to the market peak. The extent of market change is highlighted by the mean negative deviation of 8.6 per cent for the fourth quarter of 2008. The results demonstrate that volatility increases over the cycle and distributions of price differences are lower and flatter. Originality/value This paper breaks new ground through the analysis of differences between list and sale price in a period of high volatility in the housing market. The analysis shows how list price lags sale price on the up‐cycle but leads on the down‐cycle.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.081
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.234
Teacher spread0.224 · 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 teacher head, 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

Citations10
Published2010
Admission routes1
Has abstractyes

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Same venueInternational Journal of Housing Markets and AnalysisSame topicHousing Market and EconomicsFrench-language works237,207