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Record W2044734852 · doi:10.1108/ijhma-01-2012-0003

The value of a floor: valuing floor level in high‐rise condominiums in San Diego

2013· article· en· W2044734852 on OpenAlexaboutno aff
Stephen J. Conroy, Andrew Narwold, Jonathan Sandy

Bibliographic record

VenueInternational Journal of Housing Markets and Analysis · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Price premiumValue (mathematics)Hedonic pricingFloor area ratioEconomicsForest floorBusinessEconometricsMathematicsMicroeconomicsWillingness to payGeographyStatisticsEngineeringCivil engineeringEnvironmental science

Abstract

fetched live from OpenAlex

Purpose This paper aims to analyze the effect of floor level on condominium prices in San Diego, California. The authors determine whether “higher‐floor premiums” exist in the condominium market for a large California city. Further, they investigate how the floor premium varies throughout a building, particularly whether it is quadratic and whether there is a “penthouse premium” for top‐floor units. Design/methodology/approach The paper utilizes a data set of 2,395 condominium sales occurring in San Diego between 2006 and the second quarter of 2011. Using hedonic pricing analysis, the authors model the housing price as a function of condominium, building and neighborhood characteristics. Findings The results suggest that there is a higher‐floor premium for condominiums in San Diego. Specifically, an increase in the floor level is associated with about a 2.2 percent increase in sale price. The higher‐floor premium appears to be quadratic in price, suggesting that price increases at a decreasing rate above the mean floor level. The authors also find evidence for a penthouse premium, though this effect disappears once “floor” is controlled for in the model. Originality/value There has been little direct research on the floor effect in condominium prices. The studies that have used floor level as an explanatory variable have been predominately in Southeast Asia. The results suggest that the floor effect is more complex than previously modeled.

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)0.002
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 score0.080
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.229
Teacher spread0.211 · 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

Citations42
Published2013
Admission routes1
Has abstractyes

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