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Record W2581398267 · doi:10.21098/bemp.v2i4.282

MEKANISME PENGENDALIAN MONETER DENGAN INFLASI SEBAGAI SASARAN TUNGGAL

2003· article· id· W2581398267 on OpenAlexaff
Erwin Haryono, Wahyu Agung Nugroho, Wahyu Ario Pratomo

Bibliographic record

VenueBulletin of Monetary Economics and Banking · 2003
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Sementara diskusi teoritis tentang mekanisme transmisi kebijakan moneter belum konklusif, studi ini menyarankan perumusan kebijakan moneter untuk mencapai sasaan tunggal inflasi berdasarkan transmisi suku bunga. Dalam hal ini, suku bunga jangka pendek berfungsi sebagai target operasional kebijakan moneter yang diharapkan dapat mempengaruhi agregat demand, untuk selanjutnya mempengaruhi pencapaian sasaran inflasi. Selain itu, perubahan suku bunga juga dapat melewati jalur nilai tukar dan ekspektasi masyarakat sebelum akhirnya mempengaruhi inflasi. Tidak seperti kerangka kebijakan moneter melalui jalur agregat moneter, kerangka ini tidak secara eksplisit memasukan fungsi intermediate target. Sebagai penggantinya, beragam information variables berfungsi sebagai indikator tekanan inflasi.Sebagai acuan bagi kebijakan moneter, yaitu bagaimana suku bunga jangka pendek harus disesuaikan untuk mencapai sasaran inflasi, disarankan penggunaan monetary policy rules yang dikembangkan dari Taylor rule dengan melakukan beberapa penyesuaian. Untuk hal ini, diperlukan penelitian tersendiri dengan mengakomodasi karakteristik yang relevan untuk kasus Indonesia. Namun, dengan terdapatnya unsur ketidakpastian dalam mekanisme transmisi, penggunaan policy rule tersebut tidak dimaksudkan untuk digunakan secara kaku (strict). Dalam hal ini, masih tersedia ruang bagi kebijakan yang bersifat discretionary, yaitu dengan melakukan assesment atas informasi yang diperoleh dari berbagai information variables.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.178
Teacher spread0.167 · 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 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

Citations10
Published2003
Admission routes1
Has abstractyes

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