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Record W1879915503 · doi:10.1111/rode.12039

Net Fiscal Stimulus during the <scp>G</scp>reat <scp>R</scp>ecession

2013· article· en· W1879915503 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

VenueReview of Development Economics · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsBank of Canada
Fundersnot available
KeywordsStimulus (psychology)EconomicsRecessionMonetary economicsFiscal policyGovernment spendingMacroeconomicsPsychology

Abstract

fetched live from OpenAlex

Abstract This paper studies the patterns of government expenditure stimuli among Organisation for Economic C o‐operation and Development ( OECD ) countries during the G reat R ecession (2007–2009). Overall, we find that the USA net fiscal stimulus was modest relative to peers, despite it being the epicenter of the crisis, and having access to relatively cheap funding of its twin deficits. Of the 28 countries in the sample, the USA is ranked among the bottom third in terms of the rate of expansion of consolidated government consumption and investment expenditures. Contrary to historical experience, emerging markets had strongly countercyclical policy during the period immediately preceding the G reat R ecession and the G reat R ecession itself. Federal unions, emerging markets and countries with very high gross domestic product ( GDP ) growth during the pre‐recession period saw larger net fiscal stimulus on average than their counterparts. We also find that greater net fiscal stimulus was associated with lower flow costs of general government debt in the same or subsequent period.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.017
GPT teacher head0.216
Teacher spread0.199 · 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