QUARTERLY OUTLOOK ON MONETARY, BANKING, AND PAYMENT SYSTEM IN INDONESIA: QUARTER II, 2017
Bibliographic record
Abstract
This paper analyzes the economic condition of the second quarter of 2017 and provides the outlookfor 2017 and 2018. It covers the global dynamics and domestic in national level as well as spatial views inIndonesia. From external, global economic expansion continues, entailing a shift in the sources of growthwith China and Europe was expected to increase, while US economy grew slower than expected. At home,Indonesia’s economic growth was stable on the back of gain in investment particularly building investment.On the other hand, household consumption growth slowed, government consumption contracted afterspending was delayed, and exports posted slower growth. Spatially, the slowdown occurred in Java,Sulawesi and Kalimantan. CPI inflation was maintained within the target range despite increasing demandduring the lead up to national religious holidays. Balance of payments recorded a surplus while currentaccount deficit remains well maintained and financed by a large surplus in the capital and financial account..The rupiah rate moved steadily, with lower volatility relative to peer countries. The Banking industry waswell maintained and continued to strengthen financial system stability. The continued easing of monetarypolicy was responded by declining rates on deposits and loans. Moving forward, Bank Indonesia expectseconomic growth to accelerate in 2017, and grow higher in 2018 on the back of increased investmentand consumption in line with more expansive government spending along with space to ease monetarypolicy. On the other hand, inflationary pressures will be controlled in line with the lower inflation target.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".