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Record W2183222229 · doi:10.19030/jabr.v29i1.7564

Is There A Periodically Collapsing Bubble In The Indian Real Estate Market?

2012· article· en· W2183222229 on OpenAlex
Vijay Kumar Vishwakarma

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Business Research (JABR) · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsBubbleReal estateMomentum (technical analysis)EconomicsEconomic bubbleEconometricsFinancial economicsKeynesian economicsMonetary economicsMechanicsFinancePhysics

Abstract

fetched live from OpenAlex

The study finds evidence in favor of Evans (1991) definition of periodically collapsing speculative bubbles in the Indian real estate market when the market is tested for a bubble by examining data from May 1, 2009, to May 30, 2012. Using consistent momentum threshold auto regressive (MTAR) model developed by Enders and Siklos (2001) with Chans (1993) methodology, this study finds evidence of co-integration as well as asymmetric adjustment toward long-run equilibrium, which is evidence of a periodically collapsing positive speculative bubble. However, except for the residuals-augmented DickeyFuller (RADF) test, none of the conventional tests such as the augmented DickeyFuller and the PhillipsPerron tests find evidence of a bubble.

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.

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)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.296
Teacher spread0.231 · 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