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Record W3123459660 · doi:10.1177/0972652714534025

Financial Sectors Reform and Economic Growth in Morocco: An Empirical Analysis

2014· article· en· W3123459660 on OpenAlex
Jung‐Suk Yu, M. Kabir Hassan, Abdullah Al Mamun, Abul Hassan

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

VenueJournal of Emerging Market Finance · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEconomicsProxy (statistics)Financial sector developmentFinancial sectorEconomic reformVariance (accounting)Development economicsMacroeconomicsFinanceChinaGeographyAccounting

Abstract

fetched live from OpenAlex

This study analyses the impact of financial sector reforms from the early 1990s on promoting economic growth in Morocco. To derive feasible policy implications, we estimate not only pooled regressions, but also variance decompositions of GDP growth rates to examine what proxy measures of financial development are most important in economic growth over time and how much they contribute to economic growth across geographic regions and income groups. We find strong linkages between financial development and economic growth in high-income OECD countries, but not in East Asia and Pacific, South Asian and Sub-Saharan African regions, in the short run. Therefore, it may be necessary for Morocco to make different policy efforts to achieve steady economic growth in the long run. JEL Classification: G21, O16, C33

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.015
GPT teacher head0.248
Teacher spread0.234 · 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