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On a pecuniary externality of competitive banking through goods pricing dispersion

2025· article· en· W4414002617 on OpenAlex
Timothy Kam, Hyungsuk Lee, Junsang Lee, Sam Ng

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Economic Review · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsnot available
FundersAustralian Research CouncilBank of CanadaCollege of Science, Sungkyunkwan University
KeywordsExternalityEconomicsMicroeconomicsDispersion (optics)Monetary economicsIndustrial organizationFinancial economics

Abstract

fetched live from OpenAlex

We study the interaction between banking, endogenous market power with price dispersion in goods markets, and reserve requirement regulation. If the reserve requirement never binds, then the economy is a banking generalization of Head et al. (2012): the addition of banking has no pecuniary externality on goods trades and banking is always welfare improving. If the reserve requirement binds, there is a positive spread between lending and deposit rates. In this empirically-relevant case, there is a pecuniary externality: banking amplifies retail-goods firms’ market power. Credit- and policy-dependent heterogeneity in retail-good markups implies a non-monotonicity in the welfare-improving role of banks. We explain the novel opposing forces at work. Our model also justifies why policymakers should be worried about the nexus between inflation, banking and industry markups.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.259
Teacher spread0.227 · 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