MétaCan
Menu
Back to cohort
Record W2914988178

EDB Macroreview, July 2016. EAEU COUNTRIES GROWTH AFTER ADAPTATION

2016· preprint· en· W2914988178 on OpenAlexaboutno aff
Yaroslav Lissovolik, Alexey Kuznetsov, Aigul Berdigulova

Bibliographic record

VenueRePEc: Research Papers in Economics · 2016
Typepreprint
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsPaceExchange rateInflation (cosmology)International economicsSlowdownQuarter (Canadian coin)Economic slowdownMonetary economicsGeographyEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

The prolonged search for the “low point” has not yet given us grounds to conclude unambiguously that it is inevitable the EAEU economies will recover soon. However, indicators for the first half of 2016 continue to indicate that the economies are gradually adapting to the shocks that have taken place in the last few years. Negative trends in the economies of EAEU countries, which strengthened amid a fall in commodity prices, have somewhat weakened. The economies started to show an improvement in macroeconomic indicators in the first half of 2016. The volume of migrant remittances from Russia began to decline sharply in Q4 2014 amid a significant fall in economic activity in the region; however, the pace of the decline started to slow down a year later. The year on-year fall in remittances from Russia to other EAEU countries in Q4 2015 exceeded 30%, but the rate of the quarter-on-quarter fall was the lowest in a year. The stabilization of the exchange rates of the national currencies of EAEU countries, and the stabilization of economic dynamics in the region, will contribute to a further slowdown in the fall in remittances. The external environment will improve through: a decline in the volatility of the world’s financial markets; a fall in capital outflows; and a rise in exports. This will contribute to the stabilization of the exchange rates of national currencies in the region. In turn, this will be a significant factor leading to a further slowdown in inflation and a decline in inflation expectations in EAEU countries. Due to inflationary pressure falling, the central banks of EAEU countries kept unchanged or reduced their base lending rates in the first half of 2016. However, we expect price and exchange rate stabilization in Q2 2016 amid low economic activity to lead to a further softening of the monetary conditions. The impressive slowdown in inflation in EAEU countries will perhaps be one of the surprises of 2016. We forecast the EAEU countries’ inflation to slow from 12.8% to 6.3%. The reduction of the key interest rates may have a positive effect on lending growth, which could provide impetus to a recovery in both investment and household consumption. As for the medium term, we forecast a recovery in GDP1 in EAEU countries from -3.1% in 2015 to -0.9% in 2016 and to a positive growth rate of 0.8% in 2017. Therefore despite 2016’s uneasy start, the first half of the year provides grounds for cautious optimism about the prospect of a recovery in economic growth and trade.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.037
GPT teacher head0.330
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicEconomic and Technological Developments in RussiaFrench-language works237,207