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Record W7025145432

Three Essays on Real Estate Brokerage, Listing Strategy, and Housing Transactions

2022· dissertation· en· W7025145432 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2022
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicDiverse Legal and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReputationCommissionIncentiveReal estateListing (finance)Database transactionReservationReceipt
DOInot available

Abstract

fetched live from OpenAlex

This thesis consists of three essays. The first essay (chapter 2) investigates the incentives of agents working with buyers (buying agents) under the fixed percentage commission system (FPCS) and the implications on housing market outcomes. Our model shows that the absence of a binding contract creates a risk of losing clients for buying agents, which helps mitigate the conflict of interest between buying agents and their clients. Both the buying agent’s prediction accuracy regarding their client’s reservation prices and the level of tolerance given by the buyer to the buying agent affect the binding force. Results from simulations and empirical analyses using house transactions in Canada support our model’s predictions. 
\nThe second essay (chapter 3) investigates the impact of complaints against agents on agents’ incentives in housing transactions. Our model shows that complaints incentivize an agent to exert greater efforts and mitigate the conflict of interest due to their concern for reputation and future career. It also shows that the reputation recovery benefits and the commission rate play important roles in determining the impact of complaints on the incentives of agents. We find that complaints against agents have positive impacts on a house’s sale price and negative impacts on other transaction outcomes such as the probability of a house sale and the listing time on markets. 
\nThe third essay (chapter 4) investigates the effect of recurrent list-price reductions on housing transactions. Recurrent list-price reductions of a house may signal the impatience of sellers to conclude a sell transaction more quickly, leading to more visits and a higher likelihood of being sold (positive signal), but may also signal that the listing is problematic and thus harder to sell without a list-price reduction, leading to a lower likelihood of being sold (negative signal). This essay investigates which signal prevails using a joint frailty model which accounts for the inter-dependence among recurrent list-price reductions and the association between the recurrent reductions and the sold event. The results show time-varying negative impacts of list-price reductions on the likelihood of a house sale, supporting the dominance of the negative signaling effects of recurrent list-price reductions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.037
GPT teacher head0.271
Teacher spread0.234 · 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