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Record W2493638916 · doi:10.1142/9789814338950_0004

Capital Flows and Monetary Policy: Evidence from Pre-Crises ASEAN Economies

2011· book-chapter· en· W2493638916 on OpenAlexaff
Shibeshi Ghebre Kahsay, Jagdish Handa

Bibliographic record

VenueWORLD SCIENTIFIC eBooks · 2011
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsMcGill University
Fundersnot available
KeywordsEconomicsCapital flowsMonetary policyCapital (architecture)Monetary economicsInternational economicsMacroeconomicsEconomyMarket economyGeographyLiberalization

Abstract

fetched live from OpenAlex

AbstractIndonesia, Malaysia, Philippines and Thailand had open financial markets and pegged exchange rates over the period leading up to their financial crises in the 1990s. This chapter examines the extent of their domestic monetary autonomy: using a variant of the monetary model of the balance of payments, it investigates the extent to which domestic monetary policy is frustrated by capital inflows. To do so, it estimates for each country the ‘offset coefficient’ — a summary measure of the degree to which the induced capital flows offset domestic monetary policy. Next, a monetary policy reaction function is estimated for each country to determine the extent to which monetary authorities pursued sterilization measures to counter capital flows. It then examines the degree to which central banks in these countries employed monetary policy for domestic goals by estimating an interest rate equation to assess the effectiveness of sterilization measures. The empirical results show that the capital flow offset was less than complete and sterilization attempts by central banks turned out to be ineffective in three of the four countries.

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), 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: Other · Consensus signal: Other
Teacher disagreement score0.616
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.055
GPT teacher head0.229
Teacher spread0.174 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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