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Record W3010040207

Just Released: Recent Developments in Consumer Credit Card Borrowing

2016· article· en· W3010040207 on OpenAlexaboutno aff
Graham Campbell, Andrew F. Haughwout, Donghoon Lee, Joelle Scally, Wilbert van der Klaauw

Bibliographic record

VenueLiberty Street Economics · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCredit cardQuarter (Canadian coin)Credit card interestDebtCredit historyBusinessInstallment creditFinancial systemHousehold debtCredit referenceChargebackEconomicsFinanceMonetary economicsCredit riskPayment
DOInot available

Abstract

fetched live from OpenAlex

The Federal Reserve Bank of New York’s Center for Microeconomic Data today released its Quarterly Report on Household Debt and Credit for the second quarter of 2016. It showed that overall household debt increased modestly over the period, with subdued mortgage originations and moderate but continued increases in non-housing related credit—particularly auto loans and credit cards. The total outstanding credit card balance now stands at $729 billion, up $17 billion from the first quarter, but still well below the peak of $866 billion reached in the fourth quarter of 2008. Credit card delinquency rates have continued to improve since peaking in 2008. We have previously “looked under the hood” of auto loans, and in this post, we present analysis that provides new insight into credit card debt by examining trends in credit card issuance and usage. The Quarterly Report and the following analyses are based on data from the New York Fed’s Consumer Credit Panel, which is a nationally representative sample drawn from Equifax credit reports.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.214
Teacher spread0.190 · 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.

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

Citations2
Published2016
Admission routes1
Has abstractyes

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