Perbankan Umum Syariah Jangka Panjang Dan Pendek Terhadap Pertumbuhan Ekonomi Di Indonesia (Error Correction Model)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: Purpose: This study aims to analyze the influence of Islamic banking which is reflected in: assets, financing, and third party funds of Islamic banking on economic growth in Indonesia. The data used in this study is time series data in the form of quarter period 2011:Q1-2020:Q4. Research methodology: This study uses regression analysis methods OLS (Ordinary Least Square) and ECM (Error Correction Model). The data used is time series data in the form of quarterly period 2011:Q1-2020:Q4. Results: The results of this study indicate that the asset variable in Islamic banking has a positive and significant effect on economic growth in Indonesia in the short and long term. The financing variable in Islamic banking has a positive and significant effect on economic growth in Indonesia in the short and long term. Likewise, the DPK (Third Party Funds) variable for Islamic banking has a positive and significant impact on economic growth in Indonesia, both in the short term and in the long term.Limitations: The limitation of this research is that there are many variables outside the model that are not included in the study. Contribution: The positive performance of the financial sector will have a positive correlation with the economic performance of a country. The financial sector can be the main source of growth in the real sector of the economy. Keywords: 1. Sharia Banking 2. Economic Growth 3. ECM (Error Correction Model)
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it