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Record W1972946008 · doi:10.2753/pke0160-3477350408

Household debt, financialization, and macroeconomic performance in the United States, 1951-2009

2013· article· en· W1972946008 on OpenAlexaboutno aff
Yun K. Kim

Bibliographic record

VenueJournal of Post Keynesian Economics · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsHousehold debtFinancializationDebtUnit rootStructural breakSample (material)Quarter (Canadian coin)Business cycleMonetary economicsEconometricsMacroeconomicsFinance

Abstract

fetched live from OpenAlex

We empirically examine the relationship between U.S. output and household debt. To account for structural change due to financial liberalization, we divide the sample at the fourth quarter of 1982. We find structural differences between earlier and later business cycles for the U.S. household sector and its relation to the macroeconomy. In the regression analysis for pre-1982, we find no evidence that household debt variables had any negative effect on output. However, we find some evidence that household debt variables have negative effects on output for the post-1982 period. A formal structural break test shows evidence of a structural change in the relationship of U.S. output to household debt. Unit root tests for the separate samples show that none of the household variables possesses a unit root in the earlier period, yet all of them do in the late period, indicating fundamental differences between earlier and later periods in terms of the data-generating process.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.193
Teacher spread0.179 · 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

Citations39
Published2013
Admission routes1
Has abstractyes

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