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Record W2924803672 · doi:10.1111/1540-6229.12459

Household portfolio choice before and after a house purchase

2023· article· en· W2924803672 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.

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

Bibliographic record

VenueReal Estate Economics · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsUniversity of Winnipeg
FundersDanmarks Frie Forskningsfond
KeywordsPortfolioEconomicsAsset (computer security)Margin (machine learning)Diversification (marketing strategy)Equity (law)Market liquidityDebtHome equityMonetary economicsPanel dataFinanceFinancial economicsBusinessEconometrics

Abstract

fetched live from OpenAlex

Abstract Using a unique administrative panel data from Denmark, this article documents the dynamic evolution of households' financial wealth, the equity market participation rate (extensive margin), and the conditional risky asset share of financial wealth (intensive margin) over a 7‐year period around a house purchase. We find that households' equity market participation rate falls during the year of house purchase. Conditional on participation, the risky asset share of financial wealth follows a V‐shape around the house purchase. It decreases and reaches the lowest point 1 year before a house purchase, but jumps up immediately after. This finding suggests that of the three channels identified in the literature that are related to the risky asset demand after a house purchase, the debt retirement channel and the diversification effect dominate the liquidity concern.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

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

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 head0.015
GPT teacher head0.216
Teacher spread0.202 · 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