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Record W304774668 · doi:10.22004/ag.econ.143085

Short- and long-run relationships between Ukrainian barley and world feed grain export prices

2013· article· en· W304774668 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAgEcon Search (University of Minnesota, USA) · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsCointegrationUkrainianEconomicsAgricultural economicsError correction modelShort runEuropean unionInternational economicsMonetary economicsEconometrics

Abstract

fetched live from OpenAlex

Over the past decade, Ukraine has become an important player in the international feed grain market. From 2004/05 to 2012/13 it exported on average 25 percent of the total world barley annually, less than a percent lower than the largest barley exporter in the world - Australia. This research summarizes the short- and long-run barley price dynamics between Ukraine, and other major barley exporters - Australia, European Union (EU), and Canada – from 2004 to 2010. We also include U.S. corn prices to check if there is any long-run relationship between these two feed grain prices. Tests of market price cointegration (Johansen ML test and residual-based tests) and threshold error correction techniques were performed for this purpose. The results suggest that the cointegrated pairs of prices are Ukraine-Australia, Ukraine-France, Australia-Canada, and Australia-France. The estimated long-run barley price transmission elasticity is 0.71 between Ukrainian and French (a representative country of the EU) barley prices, 0.59 between Australian and Ukrainian barley prices, 0.54 between Canadian and Australian barley prices, and 0.57 between Australian and Canadian barley prices. We also found the short-term relationships between the cointegrated prices to be statistically significant. Moreover, Ukrainian barley prices were found to be weakly exogenous with regards to the Australian and French barley prices in the analyzed period, while Australian barley price is weakly exogenous with regards to the French barley price. Price adjustments in all cointegrated price series were found to be symmetric.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.210
Teacher spread0.175 · 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