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Record W4391053378 · doi:10.1002/ijfe.2935

Exchange rate misalignment and financial development in Africa

2024· article· en· W4391053378 on OpenAlex
Tii N. Nchofoung, Nathanael Ojöng, Ladifatou Ndi Gbambie Gachili

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Finance & Economics · 2024
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsYork University
Fundersnot available
KeywordsQuantile regressionEconomicsExchange rateRobustness (evolution)QuantileFinancial marketEstimatorMonetary economicsEconometricsFinanceStatistics

Abstract

fetched live from OpenAlex

Abstract We examine the effect of misaligned exchange rates on financial development in Africa. Results from quantile regression techniques and the IV Lewbel estimator reveal that exchange rate misalignment significantly hampers financial development on that continent. This result is robust across financial institutions and financial markets. We also show that while the effects of misaligned exchange rates are negative on financial institutions and positive on financial markets in African franc‐zone countries, the effects are consistently negative across all financial sectors in the non‐franc‐zone countries there. When robustness assessment is done using quantile regression, the results show that the negative effect of misalignment on financial development is only feasible from the 75th percentile and higher in Africa in general and for the non‐franc‐zone countries in particular.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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