Econometric Analysis of the Formation of Deposit Resources of Households and Their Role in Ensuring Financial Security of the State
Bibliographic record
Abstract
Within the article, the formation of deposit resources of households and their role in ensuring financial security of the state is considered. Significant attention is paid to the formation of such resources within the financial system. To this end, a statistical analysis from 2007 to 2020 of the main trends in the formation of deposits by households in Ukraine, a study of the impact of macroeconomic factors on this process is carried out, peculiarities of the deposit market in periodic economic and political instability are substantiated. The econometric analysis of the impact of certain macroeconomic factors on the creation of these resources within the national economy was also conducted. Accordingly, the article included the national currency exchange rate, the level of the average wage and the level of the real weighted average interest rate on time deposits. The methodology for constructing a multifactor linear regression model was chosen for econometric modeling. This model was also tested for adequacy. In the article, the role of household deposit resources in ensuring financial security of the state is also described in detail, the importance of providing stable conditions for the functioning of the deposit services market in order to resist external and internal threats is substantiated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 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".