Market structure and Islamic banking performance in Indonesia: An 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
The research aims to highlight the importance of market structure and behavior on Islamic banking performance by using the Structure Conduct Performance (SCP) analysis to approximate the growth of Islamic banking performance in the short and long term using error correction model. The data used in this study is time series obtained from the financial statement of each Islamic bank, Fi-nancial Service Authority and Bank of Indonesia on Islamic banking statistics monthly reported from April, 2015 to October, 2018. Population of this study covers all Islamic commercial banks in Indonesia. The purposive sampling method is used to select samples based on criteria to get samples that are feasible to be analyzed. Error correction model is applied to characterize the joint dynamic of variables in both in the long and short term relationships. The Johansen co-integration results indicate a stable long term relation between market structure and Islamic banking performance. Results show that Market structure variable outside market share of financing in the long term had a significant effect on the Islamic banking performance, but in the short term market structure, the variable had no significant effect on the Islamic banking performance in Indonesia.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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 it