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Record W292810123

Was the Economy of the 1990s a New One?

2000· article· en· W292810123 on OpenAlexaboutno aff
Robert J. Gordon

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicUnemployment and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsUnemploymentInflation (cosmology)Quarter (Canadian coin)Keynesian economicsProductivityNAIRUInterest rateNatural rate of unemploymentPhillips curveLabour economicsMacroeconomicsUnemployment rate
DOInot available

Abstract

fetched live from OpenAlex

The miracle of U. S. economic performance in the late 1990s was a source of pride at home, of envy abroad, and of puzzlement among economists and policymakers. The Federal Reserve presided over quarter after quarter of output growth so rapid as to break any speed limit believed to be feasible as recently as 1997. As the unemployment rate inched ever lower, reaching 3.9 percent in April, 2000, the Fed reacted with a degree of neglect so benign that early in the year 2000 short-term interest rates were no higher than they had been five years earlier and long-term interest rates were considerably lower. Policy reactions were different in the late 1990s because the economy appeared to have experienced a sharp change in behavior along at least two dimensions. Unemployment could be allowed to decline, because throughout 1998 and 1999 inflation not only failed to accelerate in response to the continuing decline in unemployment but actually decelerated. This called into question the continuing relevance of the Phillips curve, the longstanding mainstream view that unemployment could not be allowed to fall below the natural rate or "NAIRU," for that would inevitably be accompanied by an acceleration of inflation.1 The second change of behavior was in the growth of productivity. After resigned acceptance of the so-called "productivity slowdown," more than two decades following 1973 when output per hour grew at barely one percent per annum, analysts were astonished to observe productivity growth at a rate of nearly three percent as the average annual rate for 1996-99 and an unbelievable 5.9 percent annual rate in the last two quarters of 1999.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.029
GPT teacher head0.195
Teacher spread0.165 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2000
Admission routes1
Has abstractyes

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