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Record W2255664819 · doi:10.1596/1813-9450-7545

Business Cycles in the Eastern Caribbean Economies: The Role of Fiscal Policy and Interest Rates

2016· book· en· W2255664819 on OpenAlexaff

Bibliographic record

VenueWorld Bank, Washington, DC eBooks · 2016
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInterest rateGross domestic productEconomicsVolatility (finance)Monetary economicsOpenness to experienceFiscal policyBusiness cycleFinancial marketSmall open economyInternational economicsEconomyExchange rateMacroeconomicsFinance

Abstract

fetched live from OpenAlex

This paper analyzes the business cycle characteristics of the economies of the Organization of Eastern Caribbean States using a model of a small open economy subject to interest rate and fiscal expenditure shocks and financial frictions. The paper shows that macroeconomic aggregates in this region are quite volatile, with consumption exhibiting higher volatility than gross domestic product. The analysis also finds that in these economies real interest rates are highly volatile and strongly countercyclical with gross domestic product and other macroeconomic aggregates. Similarly, fiscal expenditures show significant volatility, but are pro-cyclical with gross domestic product. The results suggest two major directions for designing policies to help reduce the volatility experienced by the Organization of Eastern Caribbean States economies. First, Organization of Eastern Caribbean States countries should seek a greater openness to international financial markets, which could help them smooth out the effects of fundamental shocks, such as shocks to technology and terms of trade, and shocks associated with natural hazards. However, this removal of international financial barriers needs to be accompanied by improvements in domestic financial conditions, as this would reduce the vulnerability of these economies to country risk premium shocks. Second, the Organization of Eastern Caribbean States region should try harder to move toward a countercyclical fiscal policy stance, as this could help to stabilize the domestic risk premium and cushion the negative effects of interest rate shocks on economic activity, hence reducing volatility.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.744
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
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.231
Teacher spread0.208 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations5
Published2016
Admission routes1
Has abstractyes

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