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Journal articles on the topic 'Partial Granger causality'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

CEVHER, Erdogan. "causfinder: An R package for Systemwise Analysis of Conditional and Partial Granger Causalities." International Journal of Science and Advanced Technology 4, no. 10 (2014): 6–15. https://doi.org/10.5281/zenodo.35599.

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Multivariate Granger causality analysis is the study where at least one of the sets of independent and dependent variables includes more than 1 variable when these variables are conditioned on third set of variables in the analyzed system. causfinder reveals – via systemwise approaching the G-causalities – all conditional and partial Granger causalities in the system in any desired pattern formed by various distributions of these variables to these three sets. It also reveals the character of variables from more independent variables to dependent ones with the degrees and direction

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2

YURDAKUL, Funda, and Erdogan CEVHER. "Determinants of Current Account Deficit in Turkey: The Conditional and Partial Granger Causality Approach." Procedia Economics and Finance 26, no. 2015 (2015): 92–100. https://doi.org/10.1016/S2212-5671(15)00884-9.

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This study aims to reveal the causality relations between the macro aggregates that affect current deficit using conditional and partial Granger causality test. Current deficit/GDP, growth rate, real effective exchange rate, direct foreign capital investment, openness, and energy import were selected as variables for this purpose. 2003.1-2014.2 quarterly data for Turkey’s economy were used for analysis. The results of the conditional and partial Granger causality test demonstrate that real effective exchange rate is the variable with greatest impact on current deficit

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Baccalá, Luiz A., and Koichi Sameshima. "Frequency Domain Repercussions of Instantaneous Granger Causality." Entropy 23, no. 8 (2021): 1037. http://dx.doi.org/10.3390/e23081037.

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Using directed transfer function (DTF) and partial directed coherence (PDC) in the information version, this paper extends the theoretical framework to incorporate the instantaneous Granger causality (iGC) frequency domain description into a single unified perspective. We show that standard vector autoregressive models allow portraying iGC’s repercussions associated with Granger connectivity, where interactions mediated without delay between time series can be easily detected.

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4

Guo, Shuixia, Anil K. Seth, Keith M. Kendrick, Cong Zhou, and Jianfeng Feng. "Partial Granger causality—Eliminating exogenous inputs and latent variables." Journal of Neuroscience Methods 172, no. 1 (2008): 79–93. http://dx.doi.org/10.1016/j.jneumeth.2008.04.011.

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5

Elsegai, Heba. "Granger-Causality Inference of the Existence of Unobserved Important Components in Network Analysis." Entropy 23, no. 8 (2021): 994. http://dx.doi.org/10.3390/e23080994.

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Detecting causal interrelationships in multivariate systems, in terms of the Granger-causality concept, is of major interest for applications in many fields. Analyzing all the relevant components of a system is almost impossible, which contrasts with the concept of Granger causality. Not observing some components might, in turn, lead to misleading results, particularly if the missing components are the most influential and important in the system under investigation. In networks, the importance of a node depends on the number of nodes connected to this node. The degree of centrality is the mos

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Nicola, Giancarlo, Paola Cerchiello, and Tomaso Aste. "Information Network Modeling for U.S. Banking Systemic Risk." Entropy 22, no. 11 (2020): 1331. http://dx.doi.org/10.3390/e22111331.

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In this work we investigate whether information theory measures like mutual information and transfer entropy, extracted from a bank network, Granger cause financial stress indexes like LIBOR-OIS (London Interbank Offered Rate-Overnight Index Swap) spread, STLFSI (St. Louis Fed Financial Stress Index) and USD/CHF (USA Dollar/Swiss Franc) exchange rate. The information theory measures are extracted from a Gaussian Graphical Model constructed from daily stock time series of the top 74 listed US banks. The graphical model is calculated with a recently developed algorithm (LoGo) which provides very

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Yao, Can-Zhong, Qing-Wen Lin, and Ji-Nan Lin. "A study of industrial electricity consumption based on partial Granger causality network." Physica A: Statistical Mechanics and its Applications 461 (November 2016): 629–46. http://dx.doi.org/10.1016/j.physa.2016.06.072.

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Gyimah, Justice, Maclean Kwasi Fiati, Ujunwa Angela Nwigwe, Amenyawu Enyonam Vanessa, and Xilong Yao. "Exploring the impact of renewable energy on economic growth and carbon emissions: Evidence from partial least squares structural equation modeling." PLOS ONE 18, no. 12 (2023): e0295563. http://dx.doi.org/10.1371/journal.pone.0295563.

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The concern for environmental sustainability comes along with sustainable energy for consumption. Therefore, this study aims to explore the direct and indirect effects of renewable energy on economic growth and carbon emissions by employing Partial Least Square Structure Equation Modeling and Granger Causality Test and the data for this study is from 1990 to 2021. The results from the Partial Least Squares Structure Equation Modeling indicate that renewable energy consumption causes carbon emissions and has no effect on economic growth. Financial inclusion and foreign direct investment have po

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Krishna, Ritesh, Satyadarshi Nanda, Abhijit Kulkarni, and Sangameshwar Patil. "A partial Granger causality based method for analysis of parameter interactions in bioreactors." Computers & Chemical Engineering 35, no. 1 (2011): 121–26. http://dx.doi.org/10.1016/j.compchemeng.2010.07.013.

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Mulok, Dullah, Mori Kogid, Rozilee Asid, and Jaratin Lily. "Multi-Factor Crime in Malaysia, 1980 – 2013: Bounds Testing of Level Relationships and Granger Non-Causality Analysis." Journal of International Business, Economics and Entrepreneurship 3, no. 2 (2018): 55. http://dx.doi.org/10.24191/jibe.v3i2.14433.

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This study examines the relationship between criminal activities and the multi-macroeconomic factors of economic growth, unemployment, poverty, population and inflation in Malaysia from 1980 to 2013. The ARDL bounds testing of the level relationship was used to establish the long-run relation, and the Toda-Yamamoto Augmented VAR approach was used to test the short-run impact based on partial Granger non-causality analysis. Empirical results suggest that economic growth, inflation, poverty and population are significant factors affecting criminal activities in Malaysia with economic growth and

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11

Yurdakul, Funda, and Erdogan Cevher. "Determinants of Current Account Deficit in Turkey: The Conditional and Partial Granger Causality Approach." Procedia Economics and Finance 26 (2015): 92–100. http://dx.doi.org/10.1016/s2212-5671(15)00884-9.

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12

Roelstraete, Bjorn, and Yves Rosseel. "Does partial Granger causality really eliminate the influence of exogenous inputs and latent variables?" Journal of Neuroscience Methods 206, no. 1 (2012): 73–77. http://dx.doi.org/10.1016/j.jneumeth.2012.01.010.

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13

Zhang, Lingxiang. "Partial unit root and surplus-lag Granger causality testing: A Monte Carlo simulation study." Communications in Statistics - Theory and Methods 46, no. 24 (2017): 12317–23. http://dx.doi.org/10.1080/03610926.2017.1295077.

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Youssofzadeh, Vahab, Girijesh Prasad, Muhammad Naeem, and KongFatt Wong-Lin. "Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality." Neuroinformatics 14, no. 1 (2015): 99–120. http://dx.doi.org/10.1007/s12021-015-9281-6.

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15

Takamiya, A., J. Hirano, R. D. Pascual-Marqui, S. Kito, T. Kishimoto, and M. Mimura. "Electroconvulsive therapy modulates intralimbic and corticolimbic information flow: partial Granger causality analysis of resting EEG." Brain Stimulation 10, no. 2 (2017): 369–70. http://dx.doi.org/10.1016/j.brs.2017.01.088.

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16

Scagliarini, Tomas, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, and Rosario N. Mantegna. "Synergistic Information Transfer in the Global System of Financial Markets." Entropy 22, no. 9 (2020): 1000. http://dx.doi.org/10.3390/e22091000.

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Uncovering dynamic information flow between stock market indices has been the topic of several studies which exploited the notion of transfer entropy or Granger causality, its linear version. The output of the transfer entropy approach is a directed weighted graph measuring the information about the future state of each target provided by the knowledge of the state of each driving stock market index. In order to go beyond the pairwise description of the information flow, thus looking at higher order informational circuits, here we apply the partial information decomposition to triplets consist

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Li, Xiuming, Mei Sun, Dun Han, Cuixia Gao, Huizi He, and Issc Adjei Mensah. "Dynamic features of China's photovoltaic listed companies in different periods: Based on partial Granger causality network." Journal of Renewable and Sustainable Energy 10, no. 4 (2018): 045904. http://dx.doi.org/10.1063/1.5023131.

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18

Chlebisz, Adam, and Mateusz Mierzejewski. "Evaluation of Employment and Labour Market Trends in European Countries in 2007-2016." Studia Humana 8, no. 4 (2019): 43–50. http://dx.doi.org/10.2478/sh-2019-0030.

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Abstract The paper presents a partial evaluation of employment and factors related to the labour markets in European countries in 2007-2016. The interconnectedness of these determinants in the context of GDP dynamics per capita for each country was examined. The quoted partial subject literature and empirical research allowed to formulate the most important conclusions, among others: in the context of GDP dynamics per capita, at least four groups of countries can be distinguished in Europe, each of them has completely different characteristics having an influence (in the Granger causality sens

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19

Faes, Luca, Silvia Erla, Alberto Porta, and Giandomenico Nollo. "A framework for assessing frequency domain causality in physiological time series with instantaneous effects." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 1997 (2013): 20110618. http://dx.doi.org/10.1098/rsta.2011.0618.

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We present an approach for the quantification of directional relations in multiple time series exhibiting significant zero-lag interactions. To overcome the limitations of the traditional multivariate autoregressive (MVAR) modelling of multiple series, we introduce an extended MVAR (eMVAR) framework allowing either exclusive consideration of time-lagged effects according to the classic notion of Granger causality, or consideration of combined instantaneous and lagged effects according to an extended causality definition. The spectral representation of the eMVAR model is exploited to derive nov

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20

Kurtović, Safet. "Exchange rate pass-through to import prices: Evidence from Serbia." Economics and Business Letters 8, no. 1 (2019): 7. http://dx.doi.org/10.17811/ebl.8.1.2019.7-16.

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In this paper we estimated the degree of exchange rate pass-through (ERPT) into aggregate import prices in Serbia. ERPT was determined by application of single equation, cointegration approach (ARDL model), error correction term (ECM) and VAR Granger Causality tests. We based our research on data from 2008Q1 to 2014Q4. The results of our research show partial pass-through in the short run; in the long run pass-through was not observed. In addition to that, we found that appreciation of the nominal effective exchange rate (NEER) led to significant pass-through asymmetry in the short run.

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21

Demirgunes, Kartal. "Capital Structure Choice and Firm Value: New Empirical Evidence from Asymmetric Causality Test." International Journal of Financial Research 8, no. 2 (2017): 75. http://dx.doi.org/10.5430/ijfr.v8n2p75.

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This study aims to analyze the possible asymmetric causal relationship between capital structure and firm value by employing the asymmetric causality test of Hatemi-J (2012), on a time series data of Turkish manufacturing industry (consisting of Borsa Istanbul listed manufacturing firms) for the period of 1990.Q1-2015.Q4. Test results point out a unidirectional asymmetric causal relationship between capital structure and firm value, indicating that capital structure Granger-cause firm value when shocks are negative, but not when shocks are positive. More explicitly, a decrease in total debt ra

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22

Wurstbauer, Daniel, and Wolfgang Schäfers. "Inflation hedging and protection characteristics of infrastructure and real estate assets." Journal of Property Investment & Finance 33, no. 1 (2015): 19–44. http://dx.doi.org/10.1108/jpif-04-2014-0026.

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Purpose – Similar to real estate, infrastructure investments are regarded as providing a good inflation hedge and inflation protection. However, the empirical literature on infrastructure and inflation is scarce. Therefore, the purpose of this paper is to investigate the short- and long-term inflation-hedging characteristics, as well as the inflation protection associated with infrastructure and real estate assets. Design/methodology/approach – Based on a unique data set for direct infrastructure performance, a listed infrastructure index, common direct and listed real estate indices, the auth

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23

Nwadike, Chimezie, Constance Azubuike, Bernard Omogo, and Ogbonna Onyebuchi. "Causality Relationship between Security Challenges and Investment Potential Growth In Nigeria, 1980 to 2024." Journal of Policy and Development Studies 17, no. 2 (2025): 138–58. https://doi.org/10.4314/jpds.v17i2.10.

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This study examined causality relationship betweensecurity challenges and investment growth in eight African countries for the period (1980- 2024). The study considered two objectives, to; investigate the direction of causality relationship between security challenges and investment potential growth in Nigeria, determine the effect of security challenges on investment potentialgrowth in Nigeria. Secondary time series data were used to carry out the empirical analysis. The study employed Pair wise Granger Causality Tests, Augmented Dickey-Fuller (ADF), Phillips- Perron tests, Co-integration Tes

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24

Ungureanu, M., C. Ligges, D. Hemmelmann, et al. "Signal Informatics as an Advanced Integrative Concept in the Framework of Medical Informatics." Methods of Information in Medicine 48, no. 01 (2009): 18–28. http://dx.doi.org/10.3414/me9133.

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Summary Objectives: The main objective is to show current topics and future trends in the field of medical signal processing which are derived from current research concepts. Signal processing as an integrative concept within the scope of medical informatics is demonstrated. Methods: For all examples time-variant multivariate autoregressive models were used. Based on this modeling, the concept of Granger causality in terms of the time-variant Granger causality index and the time-variant partial directed coherence was realized to investigate directed information transfer between different brain

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25

Adisetiawan, R. "KAUSALITAS EKONOMI MAKRO DAN GLOBAL TERHADAP PASAR MODAL INDONESIA." EKONOMIS : Journal of Economics and Business 2, no. 1 (2018): 66. http://dx.doi.org/10.33087/ekonomis.v2i1.32.

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This study aims to determine causality macroeconomic variables and the influence of the Indonesian capital market during the period 2001-2017 by means of Granger causality test statistics and test of Multiple Linear Regression. The results of this study revealed that during the period 2001-2017 there is a relationship of causality between the money supply (M2) with the Indonesia Stock Exchange composite index, but there is no causal relationship between the BI rate, inflation, the price of crude oil, gold, exchange rate IDR/USD, Dow Jones and Nikkei 225 index on the Indonesia Stock Exchange co

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Weiss, Thomas, Wolfram Hesse, Mihaela Ungureanu, et al. "How Do Brain Areas Communicate During the Processing of Noxious Stimuli? An Analysis of Laser-Evoked Event-Related Potentials Using the Granger Causality Index." Journal of Neurophysiology 99, no. 5 (2008): 2220–31. http://dx.doi.org/10.1152/jn.00912.2007.

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Several imaging techniques have identified different brain areas involved in the processing of noxious stimulation and thus in the constitution of pain. However, only little is known how these brain areas communicate with one another after activation by stimulus processing and which areas directionally affect or modulate the activity of succeeding areas. One measure for the analysis of such interactions is represented by the Granger Causality Index (GCI). In applying time-varying bivariate and partial variants of this concept (tvGCI), the aim of the present study was to investigate the interac

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Tran, Hung Van. "Time-frequency nexus between remittances, exchange rates, and growth in Vietnam." Journal of Infrastructure, Policy and Development 8, no. 5 (2024): 3718. http://dx.doi.org/10.24294/jipd.v8i5.3718.

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The significance of remittances to the Vietnamese economy necessitates investigating how they affect the value of the Vietnamese currency and other macroeconomic factors. Macroeconomic articles struggle to discover their impact on economic development, but measured remittances by migrant workers have recently soared. There is no academic study that has examined this phenomenon in Vietnam. This study uses wavelet frameworks to analyze the lead-lag nexus between exchange rates, remittances, and economic growth in Vietnam in time-frequency domains from 1995 to 2020. Overall, we find that: (i) rem

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Singh, Chingshubam Manimohon, Nasir Ahmed Khan, and Mayengbam Lalit Singh. "Role of Institutional Integration in Economic Integration: An Examination for India in the Framework of BRICS." FOCUS: Journal of International Business 9, no. 2 (2022): 61–77. http://dx.doi.org/10.17492/jpi.focus.v9i2.922204.

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Regionalism has been popular in the twentieth century since the post-war period. Article XXIV of GATT provides opportunities for many countries across the world to form regional economic integration. It has been witnessed that such integration yields greater trade openness and deepening of the relationships among the countries in the agreement. The present paper deals with the impact of successive summits on bilateral trade openness and the deepening of India with the members of BRICS. This paper employs sophisticated econometric tools such as Granger Causality tests to check whether instituti

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Wang, Yuhan, Dan Yang, Xin Peng, Weimin Zhong, and Hui Cheng. "Causal Network Structure Learning Based on Partial Least Squares and Causal Inference of Nonoptimal Performance in the Wastewater Treatment Process." Processes 10, no. 5 (2022): 909. http://dx.doi.org/10.3390/pr10050909.

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Due to environmental fluctuations, the operating performance of complex industrial processes may deteriorate and affect economic benefits. In order to obtain maximal economic benefits, operating performance assessment is a novel focus. Therefore, this paper proposes a whole framework from operating performance assessment to nonoptimal cause identification based on partial-least-squares-based Granger causality analysis (PLS-GC) and Bayesian networks (BNs). The proposed method has three main contributions. First, a multiblock operating performance assessment model is established to corresponding

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Zhu, Dan, Huawei Wang, and Xianghua Tan. "Mining Delay Propagation Causality within an Airport Network from Historical Data." Aerospace 11, no. 7 (2024): 533. http://dx.doi.org/10.3390/aerospace11070533.

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Airport networks are interconnected through flight routes, with delays at upstream airports leading to delays at downstream airports, thus causing delay propagation. Exploring the mechanisms of delay propagation in airport networks provides scientific insights for managing and controlling delays in aviation systems. Existing methods, such as Granger causality tests and transfer entropy, must be revised to address the nonlinear causal relationships of delays in airport networks. So, this paper proposes a causality mining method for delay propagation in airport networks based on partial correlat

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31

Munir, Kashif, and Ayesha Ameer. "Nonlinear effect of FDI, economic growth, and industrialization on environmental quality." Management of Environmental Quality: An International Journal 31, no. 1 (2020): 223–34. http://dx.doi.org/10.1108/meq-10-2018-0186.

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Purpose The purpose of this paper is to analyze the long-run as well as short-run nonlinear effect of foreign direct investment (FDI), economic growth (EG) and industrialization on environmental degradation (carbon dioxide (CO2) emissions) in Pakistan. Design/methodology/approach The study applies a nonlinear autoregressive distributive lag methodology to examine the long-run and short-run relationship among the variables. FDI, EG and industrialization are decomposed into positive and negative variations to examine the nonlinear relationship with CO2 emissions. Granger causality test is used t

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Hu, Yanzhu, Huiyang Zhao, and Xinbo Ai. "Inferring Weighted Directed Association Network from Multivariate Time Series with a Synthetic Method of Partial Symbolic Transfer Entropy Spectrum and Granger Causality." PLOS ONE 11, no. 11 (2016): e0166084. http://dx.doi.org/10.1371/journal.pone.0166084.

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Driouchi, Ahmed, Nada Zouag, and Cristina Boboc. "Interdependencies of Health, Education and Poverty: The Case of South Mediterranean Economies." Studies of Applied Economics 27, no. 2 (2021): 523–44. http://dx.doi.org/10.25115/eea.v27i2.4928.

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This study is devoted to assessing the interdependencies between health, education and wealth at the aggregate regional level of South Mediterranean Countries (SMC) for the purpose of strengthening transversal economic and social policies. It looks first, to the major contributions of the previous literature developed on this subject. Theoretical and empirical studies at micro and macroeconomic levels prove that there are causal relations between variables related to health, education and wealth. As long as only partial and limited evidence exists on these interdependencies for the SMC, the se

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Sanjari, Neda, Ahmad Shalbaf, Reza Shalbaf, and Jamie Sleigh. "Assessment of Anesthesia Depth Using Effective Brain Connectivity Based on Transfer Entropy on EEG Signal." Basic and Clinical Neuroscience Journal 12, no. 2 (2021): 269–80. http://dx.doi.org/10.32598/bcn.12.2.2034.2.

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Introduction: Ensuring an adequate Depth of Anesthesia (DOA) during surgery is essential for anesthesiologists. Since the effect of anesthetic drugs is on the central nervous system, brain signals such as Electroencephalogram (EEG) can be used for DOA estimation. Anesthesia can interfere among brain regions, so the relationship among different areas can be a key factor in the anesthetic process. Methods: In this paper, by combining the Wiener causality concept and the conditional mutual information, a nonlinear effective connectivity measure called Transfer Entropy (TE) is presented to describ

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35

Musa, Nuhu. "The Asymmetric Effects of Climate Change on Health Expenditures in Nigeria: Evidence from Nonlinear ARDL Model." Journal of Applied And Theoretical Social Sciences 7, no. 1 (2025): 67–85. https://doi.org/10.37241/jatss.2025.121.

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Introduction: This study demonstrates the asymmetric impacts of climate change on Nigeria's health expenditures. Climate change has been acknowledged as one of the greatest environmental challenges facing the globe and posing serious threat to human health. The increasing prevalence of climate-sensitive diseases across the world today is largely as a result of environmental degradation. The climate shocks and the associated extreme weather conditions have imposed greater challenges on human health, leading to increase in government and household health expenditures. Method: A time series analy

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Perera, Dulan, Yu-Kai Wang, Chin-Teng Lin, Hung Nguyen, and Rifai Chai. "Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators." Sensors 22, no. 16 (2022): 6230. http://dx.doi.org/10.3390/s22166230.

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This paper discusses a novel approach to an EEG (electroencephalogram)-based driver distraction classification by using brain connectivity estimators as features. Ten healthy volunteers with more than one year of driving experience and an average age of 24.3 participated in a virtual reality environment with two conditions, a simple math problem-solving task and a lane-keeping task to mimic the distracted driving task and a non-distracted driving task, respectively. Independent component analysis (ICA) was conducted on the selected epochs of six selected components relevant to the frontal, cen

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Liu, Hui, Jiwei Liu, and Qun Li. "Asymmetric Effects of Economic Development, Agroforestry Development, Energy Consumption, and Population Size on CO2 Emissions in China." Sustainability 14, no. 12 (2022): 7144. http://dx.doi.org/10.3390/su14127144.

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The COVID-19 epidemic and the Russian–Ukrainian conflict have led to a global food and energy crisis, making the world aware of the importance of agroforestry development for a country. Modern agriculture mechanization leads to massive energy consumption and increased CO2 emissions. At the same time, China is facing serious demographic problems and a lack of consumption in the domestic market. The Chinese government is faced with the dilemma of balancing environmental protection with economic development in the context of the “double carbon” strategy. This article uses annual World Bank statis

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Syahril, Syahril, Arie Saputra, Irmayani Irmayani, Mirdha Fahlevi, Yenni Ertika, and Said Mahdani. "World Vegetable Soil Competition in 1960-2019." International Journal of Energy Economics and Policy 12, no. 3 (2022): 108–15. http://dx.doi.org/10.32479/ijeep.12562.

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This study aims to examine the balance and competition of world vegetable oils as a policy formulation to improve palm oil competitiveness in the balance that is partial to the welfare of palm oil farmers in Indonesia.The study used the Vector Error Correction Model (VECM) to analyze short- and long-term balance relationships with the Johansion Cointegration Test. It then analyzed the relationship of bivariate causality with the Pairwise Granger Causality Tests approach. It further analyzes shocks on the values of independent variables that are responded by dependent variables using Impulse Re

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Ikhsan, Mohamad, and I. Gede Sthitaprajna Virananda. "Fiscal Sustainability in Indonesia with Asymmetry." Economics and Finance in Indonesia 67, no. 1 (2021): 19. http://dx.doi.org/10.47291/efi.v67i1.731.

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The management of fiscal balance determines public debt sustainability, where a positive response of primary balance towards the debt ratio indicates a sustainable path. However, there might be asymmetry in the government’s fiscal management between different phases of the debt trajectory and business cycle. This study examines the sustainability of fiscal imbalance and public debt in Indonesia using the fiscal reaction function with annual fiscal data from 1976 to 2019. We incorporate asymmetry by decomposing the lagged debt ratio and cyclical output variables into their positive and negative

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40

Zhang, Xing, Chongchong Zhang, and Zhuoqun Wei. "Carbon Price Forecasting Based on Multi-Resolution Singular Value Decomposition and Extreme Learning Machine Optimized by the Moth–Flame Optimization Algorithm Considering Energy and Economic Factors." Energies 12, no. 22 (2019): 4283. http://dx.doi.org/10.3390/en12224283.

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Carbon price forecasting is significant to both policy makers and market participants. However, since the complex characteristics of carbon prices are affected by many factors, it may be hard for a single prediction model to obtain high-precision results. As a consequence, a new hybrid model based on multi-resolution singular value decomposition (MRSVD) and the extreme learning machine (ELM) optimized by moth–flame optimization (MFO) is proposed for carbon price prediction. First, through the augmented Dickey–Fuller test (ADF), cointegration test and Granger causality test, the external factor

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El-Yaagoubi, Anass B., Sipan Aslan, Farah Gomawi, et al. "Methods for Brain Connectivity Analysis with Applications to Rat Local Field Potential Recordings." Entropy 27, no. 4 (2025): 328. https://doi.org/10.3390/e27040328.

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Modeling the brain dependence network is central to understanding underlying neural mechanisms such as perception, action, and memory. In this study, we present a broad range of statistical methods for analyzing dependence in a brain network. Leveraging a combination of classical and cutting-edge approaches, we analyze multivariate hippocampal local field potential (LFP) time series data concentrating on the encoding of nonspatial olfactory information in rats. We present the strengths and limitations of each method in capturing neural dynamics and connectivity. Our analysis begins with explor

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Conti, Allegra, Andrea Duggento, Maria Guerrisi, Luca Passamonti, Iole Indovina, and Nicola Toschi. "Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain." Entropy 21, no. 7 (2019): 661. http://dx.doi.org/10.3390/e21070661.

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A growing number of studies are focusing on methods to estimate and analyze the functional connectome of the human brain. Graph theoretical measures are commonly employed to interpret and synthesize complex network-related information. While resting state functional MRI (rsfMRI) is often employed in this context, it is known to exhibit poor reproducibility, a key factor which is commonly neglected in typical cohort studies using connectomics-related measures as biomarkers. We aimed to fill this gap by analyzing and comparing the inter- and intra-subject variability of connectivity matrices, as

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Fauzukhaq, Muhammad Fadlillah, Devita Sari, and Suhenda Wiranata. "PENGARUH INFLASI, BI RATE, KURS, CAR DAN FDR TERHADAP NON PERFORMING FINANCING BANK SYARIAH MANDIRI." Media Ekonomi 28, no. 2 (2021): 129–40. http://dx.doi.org/10.25105/me.v28i2.7338.

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This research aims to determine the influence Inflation, Bi rate, Kurs, Capital Adequency Ratio (CAR) and Financing to Deposite Rasio (FDR) variables against Non-Performing Financing (NPF) Mandiri Sharia banking. This research uses the Vector Auto Regression (VAR) and Vector Error Correction Model (VECM) methods. The variables used in the study consisted of inflation, BI Rate and exchange rate which classified into macroeconomic variables and Capital Adequency Ratio (CAR) and Financing to Deposite Ratio (FDR) belonging to the micro-economic variables. This research uses Bank Syariah Mandiri as

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Haller, Alina-Petronela, and Georgia-Daniela Tacu Hârşan. "Causes of Sustainable Tourism Resilience in Central and Eastern Europe. The Case of Three Countries: Romania, Bulgaria and Poland." Proceedings of the International Conference on Business Excellence 15, no. 1 (2021): 1251–68. http://dx.doi.org/10.2478/picbe-2021-0116.

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Abstract Resilience is a concept that reflects the ability to cope with change; sustainability is the ability to preserve the beneficial aspects associated with economic activity. Regarding the last decades, we assess the extent to which the resilience of sustainable tourism depends on labour market, economic growth, energy consumption, and renewable energy consumption. We used Granger causality applied to indicators correlated with sustainability (number of international tourism arrivals, labour force, GDP, total energy consumption, renewable energy consumption) for the period between 1995 an

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Hamadneh, Nawaf N., Jamil J. Jaber, and Saratha Sathasivam. "Estimating Volatility of Saudi Stock Market Using Hybrid Dynamic Evolving Neural Fuzzy Inference System Models." Journal of Risk and Financial Management 17, no. 8 (2024): 377. http://dx.doi.org/10.3390/jrfm17080377.

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This paper examines the volatility risk in the KSA stock market (Tadawul), with a specific focus on predicting volatility using the logarithm of the standard deviation of stock market prices (LSCP) as the output variable. To enhance volatility prediction, it proposes the combined use of the dynamic evolving neural fuzzy inference system (DENFIS) and the nonlinear spectral model, maximum overlapping discrete wavelet transform (MODWT). This study utilizes a dataset comprising 4609 observations and investigates the inputs of lag 1 of the close stock price (LCP), the natural logarithm of oil price

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Hao, Zeqi, Yulin Song, Yuyu Shi, et al. "Altered Effective Connectivity of the Primary Motor Cortex in Transient Ischemic Attack." Neural Plasticity 2022 (November 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/2219993.

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Objective. This study is aimed at exploring alteration in motor-related effective connectivity in individuals with transient ischemic attack (TIA). Methods. A total of 48 individuals with TIA and 41 age-matched and sex-matched healthy controls (HCs) were recruited for this study. The participants were scanned using MRI, and their clinical characteristics were collected. To investigate motor-related effective connectivity differences between individuals with TIA and HCs, the bilateral primary motor cortex (M1) was used as the regions of interest (ROIs) to perform a whole-brain Granger causality

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Fotiadis, Akylas, Ioannis Vlachos, and Dimitris Kugiumtzis. "Detecting Nonlinear Interactions in Complex Systems: Application in Financial Markets." Entropy 25, no. 2 (2023): 370. http://dx.doi.org/10.3390/e25020370.

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Emerging or diminishing nonlinear interactions in the evolution of a complex system may signal a possible structural change in its underlying mechanism. This type of structural break may exist in many applications, such as in climate and finance, and standard methods for change-point detection may not be sensitive to it. In this article, we present a novel scheme for detecting structural breaks through the occurrence or vanishing of nonlinear causal relationships in a complex system. A significance resampling test was developed for the null hypothesis (H0) of no nonlinear causal relationships

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Schulz, Steffen, Mathias Bolz, Karl-Jürgen Bär, and Andreas Voss. "Quantification of the Central Cardiovascular Network Applying the Normalized Short-time Partial Directed Coherence Approach in Healthy Subjects." Methods of Information in Medicine 57, no. 03 (2018): 129–34. http://dx.doi.org/10.3414/me17-02-0002.

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Summary Background: The central control of the autonomic nervous system (ANS) and the complex interplay of its components can be described by a functional integrated mode – the central autonomic network (CAN). CAN represents the integrated functioning and interaction between the central nervous system (CNS) and ANS (parasympathetic and sympathetic activity). Objective: This study investigates the central cardiovascular network (CCVN) as a part of the CAN, during which heart rate (HR), systolic blood pressure (SYS) and frontal EEG activity in 21 healthy subjects (CON) will be analysed. The obje

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Hanley, Hans W. A., Deepak Kumar, and Zakir Durumeric. "A Golden Age: Conspiracy Theories' Relationship with Misinformation Outlets, News Media, and the Wider Internet." Proceedings of the ACM on Human-Computer Interaction 7, CSCW2 (2023): 1–33. http://dx.doi.org/10.1145/3610043.

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Do we live in a "Golden Age of Conspiracy Theories?" In the last few decades, conspiracy theories have proliferated on the Internet with some having dangerous real-world consequences. A large contingent of those who participated in the January 6th attack on the US Capitol believed fervently in the QAnon conspiracy theory. In this work, we study the relationships amongst five prominent conspiracy theories (QAnon, COVID, UFO/Aliens, 9/11, and Flat-Earth) and each of their respective relationships to the news media, both mainstream and fringe. Identifying and publishing a set of 755 different con

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Zhang, Yajun, Dongmei Hao, Lin Yang, Xiya Zhou, Yiyao Ye-Lin, and Yimin Yang. "Assessment of Features between Multichannel Electrohysterogram for Differentiation of Labors." Sensors 22, no. 9 (2022): 3352. http://dx.doi.org/10.3390/s22093352.

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Electrohysterogram (EHG) is a promising method for noninvasive monitoring of uterine electrical activity. The main purpose of this study was to characterize the multichannel EHG signals to distinguish between term delivery and preterm birth, as well as deliveries within and beyond 24 h. A total of 219 pregnant women were grouped in two ways: (1) term delivery (TD), threatened preterm labor (TPL) with the outcome of preterm birth (TPL_PB), and TPL with the outcome of term delivery (TPL_TD); (2) EHG recording time to delivery (TTD) ≤ 24 h and TTD > 24 h. Three bipolar EHG signals were analyze

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