The Impact of the Economic Crisis on the Production Function of Estonian Banking
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
Econometric models have not been widely used for thorough analysis of the statistics published by banks. The paper presents the results of analyses of Estonian Banking, made by the authors during the last seven years. Earlier results have been published in a number of collections of research articles and have been reported on international conferences worldwide (in Mexico, South Africa, Egypt, Poland, Check Republic, Chile, China, and USA, etc.). From econometric models, the Cobb-Douglas production function with income-earning assets, equity, liabilities and fixed assets as inputs was selected. The time period chosen is from the first quarter of 1995 to the fourth quarter of 2008 that is a total of 56 periods. The balance sheets and income statements published quarterly by the banks were used as the empirical base of analysis.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it