On the Forecastability of Agricultural Output

The disruption of supply chain due to Covid-19 and the war in Ukraine, render the prediction of agricultural output a determinant factor of economic life. We consider the predictability of agricultural output based on a set of explanatory variables, that include agricultural input, prices and consumer demand among others, for Greece and explore the usefulness of these variables compared to standard, univariate, forecasting methods. We evaluate the impact of using combined information in the form of principal components, and the use of averaging for producing accurate forecasts. Our results indicate that agricultural output is predictable and, moreover, we identify the factors that, for the case of Greece, lead to such predictability. Our outcomes can be used in a variety of ways, the least of which can be scenario analysis that might be very useful in real-world policy making.

Authors

Institutions

Publication Details

Journal
Review of Economic Analysis
Published
2024-12-28
DOI
https://doi.org/10.15353/rea.v16i4.5620
Citations
2
Primary Topic
Agricultural risk and resilience
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Forecastability of Agricultural Output

Foteini Kyriazi, Efthymios Xylangouras, Theodoros Papadogonas
2 citations
Review of Economic Analysis
Agricultural risk and resilience
0.67
article

On the Forecastability of Agricultural Output

Foteini Kyriazi, Efthymios Xylangouras, Theodoros Papadogonas
article en
2 citations

Abstract

The disruption of supply chain due to Covid-19 and the war in Ukraine, render the prediction of agricultural output a determinant factor of economic life. We consider the predictability of agricultural output based on a set of explanatory variables, that include agricultural input, prices and consumer demand among others, for Greece and explore the usefulness of these variables compared to standard, univariate, forecasting methods. We evaluate the impact of using combined information in the form of principal components, and the use of averaging for producing accurate forecasts. Our results indicate that agricultural output is predictable and, moreover, we identify the factors that, for the case of Greece, lead to such predictability. Our outcomes can be used in a variety of ways, the least of which can be scenario analysis that might be very useful in real-world policy making.

Review of Economic AnalysisVol. 16(4)
Agricultural University of Athens (GR), National and Kapodistrian University of Athens (GR), University of Glasgow (GB)
Openalex Percentile: Top 25%
Agricultural risk and resilience
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On the Forecastability of Agricultural Output — Foteini Kyriazi, Efthymios Xylangouras, et al. · Review of Economic Analysis (2024) | TGRS Research Map | TGRS