Assessing Market Structure in Iranian Banking Sector Based on the Multiproduct Approach
Bibliographic record
Abstract
This article’s first aim is to find, the primary level of poly-product in Iranian banking section that causes the layout of the market between the banks become lower and bank concentration higher. To do that we use, the instance of Omni-product banks which is one of the most common approach developed by Penza & Rosse (1987). The first strand is related to bank cost function; and the other one to earnings multiproduct approach.In evaluating this experience-based examination and defining the effects of Omni-production on market penetration, we have applied a structural model to estimate demands on deposit services with study’s result like banks presenting traditional services such as loans and ATM cards. Additionally same modern facilities like brokerage services and capital bonds are of further market power versus those with only basic services. The economies of scope degree is sized via cost saving in scale of percentage which is produced through added figures of fruitful activities in comparison with only individual yield of product. Thus, so as to empirically distinguish economies of scope in poly-product banks, no.1 level of our investigation include modeling and speculating the function of bank’s cost.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".