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Record W2147710955 · doi:10.3386/w20194

Monetary/Fiscal Policy Mix and Agents' Beliefs

2014· report· en· W2147710955 on OpenAlexaff
Francesco Bianchi, Cosmin Ilut

Bibliographic record

VenueNational Bureau of Economic Research · 2014
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsBank of Canada
FundersUniversity of California, Santa Barbara
KeywordsMonetary policyPolicy mixFiscal policyEconomicsMonetary economicsMacroeconomics

Abstract

fetched live from OpenAlex

We reinterpret post World War II US economic history using an estimated microfounded model that allows for changes in the monetary/fiscal policy mix. We find that the fiscal authority was the leading authority in the '60s and the '70s. The appointment of Volcker marked a change in the conduct of monetary policy, but inflation dropped only when fiscal policy accommodated this change two years later. In fact, a disinflationary attempt of the monetary authority leads to more inflation if not supported by the fiscal authority. If the monetary authority had always been the leading authority or if agents had been confident about the switch, the Great Inflation would not have occurred and debt would have been higher. This is because the rise in trend inflation and the decline in debt of the '70s were caused by a series of fiscal shocks that are inflationary only when monetary policy accommodates fiscal policy. The reversal in the debt-to-GDP ratio dynamics, the sudden drop in inflation, and the fall in output of the early '80s are explained by the switch in the policy mix itself. If such a switch had not occurred, inflation would have been high for another fifteen years. Regime changes account for the stickiness of inflation expectations during the '60s and the '70s and for the break in the persistence and volatility of inflation.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.464
GPT teacher head0.470
Teacher spread0.006 · 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 designTheoretical or conceptual
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

Citations46
Published2014
Admission routes1
Has abstractyes

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