Results 51 to 60 of about 12,352 (256)

Testing subspace Granger causality [PDF]

open access: yesEconometrics and Statistics, 2019
Abstract The methodology of multivariate Granger non-causality testing at various horizons is extended to allow for inference on its directionality. Empirical manifestations of these subspaces are presented and useful interpretations for them are provided.
openaire   +3 more sources

Exploring Differences in Precision Agriculture Adoption: New and Beginning Farmers, and Established Farmers

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper compares precision agriculture (PA) adoption between new and beginning farmers (NBFRs) and established farmers using data from a 2021 U.S. Midwest farmer survey. We focus on the human capital of two different groups of farmers in the PA adoption.
Whoi Cho, Oscar Sarasty, Tong Wang
wiley   +1 more source

ON THE CAUSAL LINKS BETWEEN FOREIGN DIRECT INVESTMENT AND ECONOMIC GROWTH IN NIGERIA, 1970-2008: AN APPLICATION OF GRANGER CAUSLITY AND CO-INTEGRATION TECHNIQUES [PDF]

open access: yesRevista Română de Statistică, 2010
This paper examines the causal links between foreign direct investment and economic growth in Nigeria during the period 1970-2008. The authors employed the Granger causality and Johansen co-integration techniques to analyze the relationship and direction
Abdullahi USMAN   +2 more
doaj  

Corruption, Political Instability and Economic Development in the Economic Community of West African States (ECOWAS): Is There a Causal Relationship?

open access: yesContemporary Economics, 2015
Despite the abundant research on economic development, corruption and political instability, little research has attempted to examine whether there is a causal relationship among them.
Nurudeen Abu   +2 more
doaj   +1 more source

Assessing Cognitive Abilities of Patients With Shift Work Disorder: Insights From RBANS and Granger Causality Connections Among Resting-State Networks

open access: yesFrontiers in Psychiatry, 2020
BackgroundNumerous studies have confirmed that long-term shift work is not only associated with increased health problems and acute impact on safety but also with impaired cognitive abilities.
Yanzhe Ning   +6 more
doaj   +1 more source

Kernel Method for Nonlinear Granger Causality [PDF]

open access: yesPhysical Review Letters, 2008
Revised version, accepted for publication on Physical Review ...
Marinazzo, Daniele   +2 more
openaire   +5 more sources

Temperature Sensitivity and Adaptation of Cereal Yields: Empirical Evidence From Italy

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper investigates the evolving temperature sensitivity and climate adaptation of cereal yields in Italy from 1952 to 2023, using province‐level data for maize, common wheat, and durum wheat. Employing panel data econometric methods, we estimate yield responses to heat exposure, changes in sensitivity over time, and adaptation to climate ...
Paolo Nota   +2 more
wiley   +1 more source

The cost of aging: Economic growth perspectives for Europe.

open access: yesPLoS ONE, 2023
This study explores the causal relationship between the economy and the elderly population in 15 European countries. The economy was measured by the Per Capita Gross Domestic Product growth rate, while the population aged above 65 as a percentage of the ...
Thaveesha Jayawardhana   +6 more
doaj   +1 more source

Nonlinear connectivity by Granger causality

open access: yesNeuroImage, 2011
The communication among neuronal populations, reflected by transient synchronous activity, is the mechanism underlying the information processing in the brain. Although it is widely assumed that the interactions among those populations (i.e. functional connectivity) are highly nonlinear, the amount of nonlinear information transmission and its ...
Sebastiano Stramaglia   +4 more
openaire   +4 more sources

Granger causality for state-space models [PDF]

open access: yesPhysical Review E, 2015
Granger causality, a popular method for determining causal influence between stochastic processes, is most commonly estimated via linear autoregressive modeling. However, this approach has a serious drawback: if the process being modeled has a moving average component, then the autoregressive model order is theoretically infinite, and in finite sample ...
Barnett, Lionel, Seth, Anil K.
openaire   +3 more sources

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