Макроэкономические Особенности Перехода К Режиму Таргетирования Инфляции В Развитых Странах // Macroeconomic Aspects Of The Transition To The Inflation Targeting Policy In Developed Countries
Bibliographic record
Abstract
The paper analyzes the experience of two developed countries - New Zealand and Canada, - both having made a successful transition to inflation targeting in the situation of macroeconomic instability characterized by the decline in GDP growth, rising unemployment and inflation. The purpose of the study is to demonstrate the possibility of transition to and implementation of the infl targeting policy in adverse macroeconomic conditions. It is concluded that the existing structure of the Russian economy has exhausted all available factors of economic growth, and in the environment of geopolitical tensions, sectoral sanctions and falling oil prices a full-scale reform of the economic policy is needed. Since the recession in the country is of purely economic nature, the Bank of Russia could use the experience of Canada and New Zealand in the mid-term perspective, and, along with the speculation pressure on the currency market relieved and the credit expansion in the banking sector reduced, move to the soft monetary policy in the inflation targeting regime taking advantage of the natural slowdown in the economic growth. В статье анализируется опыт двух развитых стран - Новой Зеландии и Канады, которые успешно осуществили переход к режиму таргетирования инфляции в условиях макроэкономической нестабильности, выраженной в падении темпа роста ВВП, росте безработицы и инфляции. Цель исследования - продемонстрировать на примере данных стран возможности перехода и реализации таргетирования инфляции в неблагоприятных макроэкономических условиях. Делается вывод , что существующая структура российской экономики исчерпала все свободные факторы экономического роста, и в сложившихся условиях геополитической напряженности, секторальных санкций и падения цен на нефть необходима масштабная реформа экономической политики. Поскольку рецессия в стране обладает объективным экономическим характером, Банк России в среднесрочной перспективе по мере ослабления давления спекуляций на валютном рынке и снижения кредитной экспансии в банковском секторе мог бы использовать опыт Канады и Новой Зеландии и перейти к мягкой денежно-кредитной политике в рамках режима таргетирования инфляции, воспользовавшись естественным замедлением экономического роста в стране.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".