MétaCan
Menu
Back to cohort
Record W3125270728

Do House Prices Impact Consumption and Interest Rate? Evidence from OECD Countries using an Agnostic Identification Procedure

2011· preprint· en· W3125270728 on OpenAlexaboutno aff
Christophe André, Rangan Gupta, Patrick T. Kanda

Bibliographic record

VenueRePEc: Research Papers in Economics · 2011
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsHouse priceWelfare economicsInterest rateShock (circulatory)Consumption (sociology)EconomyMonetary economicsHumanities
DOInot available

Abstract

fetched live from OpenAlex

This paper investigates the existence of significant spillovers from the housing sector onto the wider economy for the seven major OECD countries using Uhlig's (2005) agnostic identification procedure. This method allows a housing demand shock to be identified in a six-variable VAR model by imposing sign restrictions on the impulse responses of consumer prices, residential investment, real house prices and mortgage loans, while private consumption and nominal interest rate responses are left unrestricted. The results suggest that consumption responds positively and significantly to a house price shock in Canada, France, Japan and the UK. A significant positive delayed response of nominal interest rates follows a house price shock in Germany, Japan, the UK and the US, suggesting that while central banks do not seem to respond instantly and systematically to a housing demand shock, their repercussions on the economy tend to translate into higher policy rates after a few quarters. Les prix des logements affectent-ils la consommation et le taux d'interet ? : Une etude empirique sur des pays de l'OCDE utilisant une procedure d'identification agnostique Cet article etudie l'existence d’une inflence significative du secteur du logement sur l'economie dans son ensemble pour les sept grands pays de l’OCDE, en utilisant la procedure d'identification agnostique d’Uhlig (2005). Cette methode permet l'identification d'un choc de demande de logement dans un modele VAR a six variables en imposant des restrictions sur les signes des fonctions de reaction aux innovations des prix a la consommation, de l'investissement residentiel, des prix reels des logements et des prets hypothecaires, tandis que les reponses de la consommation privee et des taux d'interet nominaux sont laissees libres. Les resultats suggerent que la consommation reagit positivement et significativement a un choc de prix des logements au Canada, en France, au Japon et au Royaume-Uni. D'autre part, une reponse positive, significative et retardee des taux d'interet nominaux suit un choc de prix des logements en Allemagne, au Japon, au Royaume-Uni et aux Etats-Unis, suggerant que si les banques centrales ne semblent pas reagir instantanement et systematiquement a un choc de demande de logement, les repercussions de ce dernier sur l'economie ont tendance a se traduire par des taux directeurs plus eleves apres quelques trimestres.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.160
GPT teacher head0.349
Teacher spread0.189 · 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

Citations32
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicHousing Market and EconomicsFrench-language works237,207