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Record W4385893709 · doi:10.5937/etp2302098p

Global stagflationary pressures: Macroeconomic repercussions of pandemic and geopolitical crises

2023· article· en· W4385893709 on OpenAlexaboutno aff
Jovica Pejčić, Marina Beljić, Olgica Glavaški

Bibliographic record

VenueEkonomija teorija i praksa · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsStagflationEconomicsInflation (cosmology)GeopoliticsQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)PoliticsKeynesian economicsMonetary policyPolitical scienceGeography

Abstract

fetched live from OpenAlex

This paper analyses key macroeconomic repercussions of the global pandemic and geo-political crises in terms of growing recessionary and inflationary pressures, and finally, the potential occurrence of stagflation. The aim of this paper is to primarily analyse the stagflation shocks of the 70s, afterwards, compare them with the current crisis for the period January 2020 - July 2022 using the example of selected developed economies (USA, Germany and France). Using descriptive analysis, it was shown that in the observed period inflationary and recessionary pressures existed in USA, Germany and France. However, those pressures could not be identified as stagflation, since that were not present simultaneously. Namely, during the pandemic crisis, recessionary pressures were present, since then the GDP growth decreased till first quarter of 2021 in analysed economies, while inflation rates were stable. On the other hand, with the recovery of economies in the second quarter of 2021, inflationary pressures became stronger and intensified by geo-political crisis. Therefore, it seems that the most visible anomaly of the global economic system in 2022 is the presence of inflationary pressures.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.276
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2023
Admission routes1
Has abstractyes

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