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The Euro Changeover and Its Effects on Price Transparency and Inflation

2009· article· en· W2057475245 on OpenAlexaff
Wioletta Dziuda, Giovanni Mastrobuoni

Bibliographic record

VenueJournal of money credit and banking · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Market Behavior and Pricing
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsChangeoverEconomicsTransparency (behavior)Inflation (cosmology)CurrencyMonetary economicsPrice levelInternational economicsEngineeringTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

Despite the expectations of economists that the euro changeover would have no effect on prices, European consumers perceived the opposite. To shed some light on this puzzle, we develop a model of imperfect information in which cheaper goods experience higher price growth after the changeover. Retailers, aware of consumers' difficulties in adopting the new currency, use currency changeovers to increase profits by increasing prices. The lower the price transparency after the changeover, the higher the euro‐related inflation. Using data on inflation (Eurostat) and price levels (Economist Intelligence Unit), we show that although the euro changeover did not significantly increase inflation, it nevertheless had a distortionary effect on prices. After the changeover, cheaper goods had higher inflation, and this effect was stronger in countries in which people found dealing with the new currency problematic.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.262

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.228
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations108
Published2009
Admission routes1
Has abstractyes

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