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Record W1873540217

PENGARUH ALIRAN MASUK DEVISA TENAGA KERJA (WORKERS’ REMITTANCES) TERHADAP NILAI TUKAR RUPIAH

2014· preprint· en· W1873540217 on OpenAlexaboutno aff
Muhammad Afdi Nizar

Bibliographic record

VenueMunich Personal RePEc Archive (Ludwig Maximilian University of Munich) · 2014
Typepreprint
Languageen
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsRemittanceExchange rateForeign exchangeEconomicsQuarter (Canadian coin)Monetary economicsGeographyEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

This study aims to determine the impact of workers’ remittances to the real exchange rates of 
\nrupiah during 2004 - 2013. Based on quarterly time series data and using VAR model, the results
\nof this study suggested several conclusions : (i) the growth of remittance inflows have a positive
\nimpact on real exchange rates of rupiah. That is, the increase in remittance inflows cause the real
\nexchange rate of the rupiah has strengthened (appreciated) in a fairly long period, i.e, up to 5
\nquarter, and (ii) the appreciation of the real exchange rates of rupiah just increased remittance
\ninflows in the short term, which is about one quarter.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0000.000
Open science0.0040.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.256
Teacher spread0.230 · 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 designNot applicable
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

Citations1
Published2014
Admission routes1
Has abstractyes

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