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Record W20741669 · doi:10.1093/jeea/jvad029

Limited Nominal Indexation of Optimal Financial Contracts

2023· article· en· W20741669 on OpenAlexaffabout
Césaire Meh, Vincenzo Quadrini, Yaz Terajima

Bibliographic record

VenueJournal of the European Economic Association · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsBank of CanadaGovernment of Canada
FundersUniversity of TokyoTechnische Universität MünchenPrinceton University
KeywordsIndexationEconomicsVolatility (finance)Monetary economicsInflation (cosmology)Nominal interest rateShock (circulatory)EconometricsMonetary policyReal interest rate

Abstract

fetched live from OpenAlex

Abstract When financial contracts are not fully enforceable and firms observe their own nominal sales before the observation of the aggregate nominal price, the optimal financial contract is not fully indexed to inflation. Because of the limited nominal indexation, which is endogenous in the model, unanticipated inflation affects aggregate investment and future economic activity. The macroeconomic volatility induced by price uncertainty, however, is not monotone: It first increases and then decreases with nominal price uncertainty. We also show that the degree of nominal indexation declines with real idiosyncratic volatility and the impact of an inflation shock decreases with nominal indexation. Using firm-level data from Canada, we find that both predictions are supported by the data.

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)0.004
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.040
GPT teacher head0.210
Teacher spread0.170 · 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
Published2023
Admission routes2
Has abstractyes

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