Results 121 to 130 of about 21,518 (299)
Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany
Agribusiness, EarlyView.ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever +2 more
wiley +1 more source
Comparative Analysis of Tourism-Led Growth in Slovenia and Montenegro [PDF]
Managing Global Transitions, 2016 This article introduces ‘Granger Causality in Tourism Analysis for Slovenia and Montenegro.’ Included within are comparisons of the tourism led-growth in these countries between December 2007–June 2015.
Sergej Gričar +3 more
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Real-Time Classification of Motor Imagery Using Dynamic Window-Level Granger Causality Analysis of fMRI Data. [PDF]
Brain Sci, 2023 Liu T +5 more
europepmc +1 more source
A Panel Data Approach for Income-Health Causality [PDF]
This study provides evidence on income-health causality by employing a large micro panel data set with a VAR representation. The findings verify that dominant type of causality is bidirectional which cast doubt on the performance OLS estimates in the ...
I. Hakan Yetkiner, Erkan Erdil
core
Agribusiness, EarlyView.ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
wiley +1 more source
The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the Granger causality analysis. [PDF]
Neuroimage Clin, 2023 Yang C +5 more
europepmc +1 more source
Granger-causality in Markov Switching Models [PDF]
In this paper we propose a new parametrisation of transition probabilities that allows us to characterize and test Granger-causality in Markov switching models by means of an appropriate specification of the transition matrix.
Silvestro Di Sanzo, Monica Billio
core
Advanced Intelligent Discovery, EarlyView.scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
The Impact of Climate Change Risks on Residential Consumption in China: Evidence from ARMAX Modeling and Granger Causality Analysis. [PDF]
Int J Environ Res Public Health, 2022 Niu M, Li G.
europepmc +1 more source
GRANGER CAUSALITY TESTS FOR PRECIOUS METALS RETURNS.
Quantitative Methods in Economics, 2015 The aim of the paper was examining Granger causality between rates of return of precious metals. The study covers the period from 2008 through 2013 and includes gold, silver, platinum, and palladium.
Monika Krawiec, Anna Górska
doaj