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Relevant bibliographies by topics / Conditional Granger causality

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Academic literature on the topic 'Conditional Granger causality'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Conditional Granger causality"

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Malekpour, Sheida, and William A. Sethares. "Conditional Granger causality and partitioned Granger causality: differences and similarities." Biological Cybernetics 109, no. 6 (2015): 627–37. http://dx.doi.org/10.1007/s00422-015-0665-3.

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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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钟, 静静. "Reconstructing Networks via Multivariate Conditional Granger Causality." Advances in Applied Mathematics 14, no. 06 (2025): 13–22. https://doi.org/10.12677/aam.2025.146296.

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Lu, Xun, Liangjun Su, and Halbert White. "GRANGER CAUSALITY AND STRUCTURAL CAUSALITY IN CROSS-SECTION AND PANEL DATA." Econometric Theory 33, no. 2 (2016): 263–91. http://dx.doi.org/10.1017/s0266466616000086.

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Granger noncausality in distribution is fundamentally a probabilistic conditional independence notion that can be applied not only to time series data but also to cross-section and panel data. In this paper, we provide a natural definition of structural causality in cross-section and panel data and forge a direct link between Granger (G–) causality and structural causality under a key conditional exogeneity assumption. To put it simply, when structural effects are well defined and identifiable,G–non-causality follows from structural noncausality, and with suitable conditions (e.g., separabilit

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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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Xiaoguang Liu, Xiaoguang Liu, Renping Song Xiaoguang Liu, Guoliang Ding Renping Song, Mingxia Zu Guoliang Ding, Xiaomei Wang Mingxia Zu, and Yuan Wang Xiaomei Wang. "A Prediction Model for Substation Investment Benefit Based on Granger Causality." 電腦學刊 33, no. 6 (2022): 107–17. http://dx.doi.org/10.53106/199115992022123306009.

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<p>The construction of a lean operation and inspection integrated management system for substations is an important part of the development and maintenance of the power system. Forecasting the investment benefits of substation project development is an important issue in feasibility analysis. Therefore, we need to use a highly accurate method to make a prediction of the investment benefit of this project. Granger causation is a causal relationship based on &quot;prediction&quot;, and inferring about its causality is a key task in time series analysis. In this paper, we propose a

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Stokes, P. A., M. Vangel, F. H. Lin, et al. "Dynamic Frequency-Domain Conditional Granger Causality Applied to Magnetoencephalography." NeuroImage 47 (July 2009): S148. http://dx.doi.org/10.1016/s1053-8119(09)71509-5.

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Xiao, Yanyang, Songting Li, and Douglas Zhou. "Representing conditional Granger causality by vector auto-regressive parameters." Communications in Mathematical Sciences 17, no. 5 (2019): 1353–86. http://dx.doi.org/10.4310/cms.2019.v17.n5.a9.

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Zhou, Zhenyu, Yonghong Chen, Mingzhou Ding, Paul Wright, Zuhong Lu, and Yijun Liu. "Analyzing brain networks with PCA and conditional Granger causality." Human Brain Mapping 30, no. 7 (2009): 2197–206. http://dx.doi.org/10.1002/hbm.20661.

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Marica, Vasile George, and Alexandra Horobet. "Conditional Granger Causality and Genetic Algorithms in VAR Model Selection." Symmetry 11, no. 8 (2019): 1004. http://dx.doi.org/10.3390/sym11081004.

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Overcoming symmetry in combinatorial evolutionary algorithms is a challenge for existing niching methods. This research presents a genetic algorithm designed for the shrinkage of the coefficient matrix in vector autoregression (VAR) models, constructed on two pillars: conditional Granger causality and Lasso regression. Departing from a recent information theory proof that Granger causality and transfer entropy are equivalent, we propose a heuristic method for the identification of true structural dependencies in multivariate economic time series. Through rigorous testing, both empirically and

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Dissertations / Theses on the topic "Conditional Granger causality"

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Burda, Maike M. "Testing for causality with Wald tests under nonregular conditions." Doctoral thesis, [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=968852432.

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Yi, Seong-Woo. "Domestic Influences for Interstate Cooperation: Do Domestic Conditions Affect the Occurrence of Cooperative Events in Democratic Regimes?" Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4558/.

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This research addressed two main issues that have become evident in studies of interstate cooperation. The first issue has to do with the relationship between cooperation and conflict. Can they be represented on a single, uni-dimensional continuum, or are they better represented by two theoretically and empirically separable dimensions? Granger causality tests were able to clarify the nature of cooperative events. The second issue is related to factors that might facilitate or discourage cooperation with other countries as a foreign policy tool. Factors used to explain cooperation and conflict

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Santos, Anderson Moreira Aristides dos. "Causalidade entre renda e saúde: uma análise através da abordagem de dados em painel com os estados e os municípios brasileiros." Universidade Federal de Alagoas, 2010. http://www.repositorio.ufal.br/handle/riufal/1394.

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The income and life expectancy increase and also, poverty and mortality rate reduction, indicate an improvement of social welfare. Therefore, to understand the relation between income and health is considered to be of fundamental importance. In the theoretical literature, such as, Sala-i-Martin (2005), Weil (2005) and Chen (2008), the causality relationship between income and health is presented as bidirectional. This dissertation has as main objective to analyze causality relationship between income and health, seeking to control the potential differences of this relation over the Brazilian t

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Golab, Anna. "An investigation into the volatility and cointegration of emerging European stock markets." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/572.

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This dissertation examines the interaction between European Emerging markets including cointegration, volatility, correlation and spillover effects. This study is also concerned with the process of the enlargement of the European Union and how this affects the emerging markets of newcomers. The twelve emerging markets studied are Bulgaria, the Czech Republic, Cyprus, Estonia, Hungry, Latvia, Lithuania, Malta, Poland, Romania, Slovakia and Slovenia, which are all progressing very rapidly in their reforms and domestic economic stability. The majority of prior studies on stock market comovements

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Mody, Sandeep K. "Computation of Sparse Representations of High Dimensional Time Series Data and Experimental Applications." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4295.

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Obtaining a sparse representation of high dimensional data is often the first step towards its further analysis. Conventional Vector Autoregressive (VAR) modelling methods applied to such data results in noisy, non-sparse solutions with a too many spurious Coefficients. Computing auxiliary quantities such as the Power Spectrum, Coherence and Granger causality (GC) from such non-sparse models is slow and gives wrong results. Thresholding the distorted values of these quantities as per some criterion, statistical or otherwise, does not alleviate the problem. We propose two sparse Vector A

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Omolo, Miriam. "The impact of trade policy reforms on households : a welfare analysis for Kenya." Thesis, 2013. http://hdl.handle.net/10500/8769.

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Trade liberalization in Kenya started in the early 1980s with the structural adjustment programmes, and continued under the multilateral framework of the WTO. During the same period, the incidence of poverty and level of inequality also worsened. The government’s focus on trade negotiations has been to ensure that there is policy space for the daily running of the economy even though welfare impacts are also important. Non-state actors have argued that trade liberalization has negatively affected the poor; particularly the farmers, since they cannot compete with the developed countries w

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Chakanyuka, Goodman. "Analysis of the relationship between business cycles and bank credit extenstion : evidence from South Africa." Thesis, 2015. http://hdl.handle.net/10500/19590.

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This study provides evidence of the relationship between bank-granted credit and business cycles in South Africa. The study is conducted in three phases, namely qualitative research (Phase I), quantitative research (Phase II) and econometric analysis (Phase III). A sequential (connected data) mixed methodology (Phase I and II) is used to collect and analyze primary data from market participants. The qualitative research (Phase I) involves structured interviews with influential or well informed people on the subject matter. Phase I of the study is used to understand the key determinants o

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Frank, Ashley Gavin. "The stock market and South Africa's economic development." Thesis, 2004. http://hdl.handle.net/10500/2501.

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Financial liberalisation, through increasing investment as well as the average productivity of capital, should stimulate economic growth, or so the theory goes. Bank lending unfortunately suffers adverse selection and moral hazard effects, to which the establishment and expansion of stock markets has been offered as a remedy. However, research from developing country stock markets have shown that in many cases these markets did not complement the effects of credit market liberalisation but in rather important aspects subverted them. Countries that implemented credit market liberalisation and r

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Mahembe, Edmore. "Foreign direct investment inflows and economic growth in SADC countries : a panel data approach." Diss., 2014. http://hdl.handle.net/10500/14232.

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This dissertation examines the causal relationship between inward foreign direct investment (FDI) and economic growth (GDP) in SADC countries. The study investigates, within a panel data context, whether causation is short-term, long-term or both; and explores whether the causal relationship between the two variables differs according to income level. The study covered a panel of 15 SADC countries over the period 1980-2012. In order to assess whether the causal relationship between FDI inflows and economic growth is dependent on the level of income, the study divided the SADC countries i

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Mahembe, Edmore. "Development aid and its impact on poverty reduction in developing countries : a dynamic panel data approach." Thesis, 2019. http://hdl.handle.net/10500/26490.

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Foreign aid has been used on the one hand by donors as an important international relations policy tool and on the other hand by developing countries as a source of funds for development. Since its inception in the 1940s, foreign aid has been one of the most researched topics in development economics. This study adds to this growing aid effectiveness literature, with a particular focus on the under-researched relationship between foreign aid and extreme poverty. The main empirical assessment is based on a sample of 120 developing countries from 1981 to 2013. The study had two main object

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Books on the topic "Conditional Granger causality"

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Zaanen, Jan. On Time. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/9780198920793.001.0001.

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Abstract This text revolves around a new and unusual view on the most fundamental puzzle of physics. It focusses on the key aspect that makes the role of the time dimension fundamentally different, dealing on the one hand with general relativity and quantum theory, and on the other hand: causality. The implicit and intuitive way by which causality is usually taken for granted is just made explicit and less self-evident, shedding new light on the gravity–quantum conflict. The case is made that gravity is a necessary condition for a causal universe. But upon turning to the ‘pure’ unitary quantum

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Book chapters on the topic "Conditional Granger causality"

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He, Yuqing, Bin Hao, Abdelkader Nasreddine Belkacem, et al. "Brain Network Analysis of Hand Motor Execution and Imagery Based on Conditional Granger Causality." In Human Brain and Artificial Intelligence. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8222-4_11.

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Chuang, Kai-Cheng, Sreekrishna Ramakrishnapillai, Lydia Bazzano, and Owen Carmichael. "Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16431-6_26.

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Stawiarski, Bartosz. "Granger Causality and Cointegration During Stock Bubbles and Market Crashes." In Applied Condition Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82110-4_5.

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Józsa, Mónika, Mihály Petreczky, and M. Kanat Camlibel. "Relating the Network Graphs of State-Space Representations to Granger Causality Conditions." In Hybrid and Networked Dynamical Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49555-7_4.

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Ermini, Luigi. "Testing DHSY as a Restricted Conditional Model of a Trivariate Seasonally Cointegrated System." In Cointigration, Causality, and forecating. Oxford University PressOxford, 1999. http://dx.doi.org/10.1093/oso/9780198296836.003.0010.

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Abstract The UK consumption function has been analyzed in numerous studies, of which the model developed two decades ago by Davidson, Hendry, Srba and Yeo (1978), henceforth DHSY, is one of the best known and most successful (for a recent survey of these studies, see Muellbauer, 1994). Two main features of DHSY were the explicit modeling of the seasonal patterns present in the data. through fourth-differencing and the presence of an error-correction term, whose central role in the empirical success of DHSY would be better understood a decade later in light of the newly developed literature on

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Vahid, Farshid. "Partial Pooling: A Possible Answer to “To Pool or Not To Pool”." In Cointigration, Causality, and forecating. Oxford University PressOxford, 1999. http://dx.doi.org/10.1093/oso/9780198296836.003.0017.

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Abstract In a panel discussion on future directions in econometrics Clive Granger expressed the opinion that statisticians and econometricians should pay more attention to methods of extracting information from large panels, given that such panels are becoming increasingly available. In this spirit, the present paper suggests a procedure for classifying linear conditional expectation functions in “medium-sized’’ panels, i.e. panels with a moderately large time dimension, and not too large a cross sectional dimension. We are motivated by regional and sectoral panel studies (such as the 50 state

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Vidhusha, S., and A. Kavitha. "Inter-Hemispherical Investigations on the Functional Connectivity in Controls and Autism Spectrum Using Resting State fMRI." In Advances in Computational Intelligence and Robotics. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3038-2.ch009.

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Autism spectrum disorders are connected with disturbances of neural connectivity. Functional connectivity is typically examined during a cognitive task, but also exists in the absence of a task. While a number of studies have performed functional connectivity analysis to differentiate controls and autism individuals, this work focuses on analyzing the brain activation patterns not only between controls and autistic subjects, but also analyses the brain behaviour present within autism spectrum. This can bring out more intuitive ways to understand that autism individuals differ individually. Thi

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Palshikar, Girish Keshav, Manoj Apte, Sushodhan Vaishampayan, and Akshada Shinde. "Causality in Time-Series: A Short Review." In Data Science and Intelligent Computing Techniques. Soft Computing Research Society, 2023. http://dx.doi.org/10.56155/978-81-955020-2-8-64.

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The study of causal relations has been proved to be significant in acquisition, understanding, and representation of human knowledge across physical and biological sciences, engineering, social sciences, economics. Identifying or inferring causal relations from empirical data is a crucial step in knowledge acquisition. For study of causality, time is an important factor, as the effect will always occur after its cause, and, often, within stipulated amount of time. Thus, time-series data is considered ideal for causal inference. In this chapter we review various notions of causality in time-ser

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Kundu, Amit. "The Asymmetric Volatility Spillover Effect of The Indian Stock Market to Sri Lanka-CSSE, Bangladesh-DSE." In Sustainable Roadmap Development Strategies in India: Paving the Way for a Better Future. Lincoln University College, Malaysia, 2023. http://dx.doi.org/10.31674/book.2023srdsi002.

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This article focuses on the effect of spillover from the Indian stock market to the Sri Lankan and Bangladeshi stock exchanges. The major goal of this research is to determine whether investing in these two markets offers suitable prospects for diversification. The degree of economic interconnectedness between the economies of India and Asia is examined using Granger causality tests and dynamic conditional correlation (DCC)-MGARCH. India, Sri Lanka, and Bangladesh are not found to be causally related. Using DCC-MGARCH, it was found that while there was no short-term volatility spillover from I

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Newbold, Paul, David I. Harvey, and Stephen J. Leybourne. "Ranking Competing Multi-Step Forecasts." In Cointigration, Causality, and forecating. Oxford University PressOxford, 1999. http://dx.doi.org/10.1093/oso/9780198296836.003.0004.

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Abstract Early research on methodology for the evaluation of forecasts was analyzed by Granger and New bold (1978), who proposed alternative approaches. These authors argued that a set of forecasts is most reasonably assessed through comparison with competing forecasts. This comparison could be achieved through mean squared errors of forecasts at specific horizons, though other economic loss functions such as mean absolute error or mean absolute percentage error could equally well be applied. Diebold and Mariano (1995) and Harvey et al. (1997) discuss tests of the null hypothesis of equality o

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Conference papers on the topic "Conditional Granger causality"

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Guorong Wu, Cuiping Xu, and Huafu Chen. "Investigate intracranial EEG with conditional granger causality and PCA." In 2010 International Conference of Medical Image Analysis and Clinical Application (MIACA). IEEE, 2010. http://dx.doi.org/10.1109/miaca.2010.5528282.

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Seth, Sohan, and Jose C. Principe. "A Test of Granger Non-causality Based on Nonparametric Conditional Independence." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.642.

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Zhou, Ben, Guanxue Yang, Zhaowei Wang, and Guanxiao Yang. "Identifying Topology of Complex Networked System Based on Block Orthogonal Matching Pursuit and Nonlinear Conditional Granger Causality." In 2022 China Automation Congress (CAC). IEEE, 2022. http://dx.doi.org/10.1109/cac57257.2022.10055616.

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Duggento, A., L. Passamonti, M. Guerrisi, G. Valenza, R. Barbieri, and N. Toschi. "Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037823.

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Can, Zeynep Gizem, Ufuk Can, and Harun Bal. "Inclusive Growth and Globalization: The Case of Turkey." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02277.

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This study aims to determine the relationship between inclusive growth and globalization. Since both concepts are multidimensional and do not directly related data on these concepts, an inclusive growth index is formed which covers sixteen different data with the help of principal component analysis. The globalization data are compiled from the KOF Swiss Economic Institute and the relationship between them is determined by Engle-Granger cointegration, Granger causality and ARDL bounds tests. Econometric findings show that inclusive growth has accelerated in the period between 1991 and 2015, th

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Rathnayake, Ishantha, Niranga Amarasinghe, Vasantha Wickramasinghe, and Kavindi Liyanage. "Queue Length Prediction at Un-Signalized Intersections with Heterogeneous Traffic Conditions." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/pkfl8922.

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Increasing queue lengths while reducing average vehicle speeds is a notable criterion in intersections with heterogeneous traffic conditions. Such queue lengths vary with different intersection controls. This study aimed to estimate the queue length at un-signalized intersections with heterogeneous traffic conditions. The study was done for un-signalized intersections in Peradeniya and Weliwita, Sri Lanka and the data were collected through video recordings. The queue lengths in an un-signalized intersection with mixed traffic conditions have an instantaneous aggressive variation due to the un

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Kim, Jaehyun, and David Wallace. "A Statistical Approach to Causality Analysis in a Distributed Design Framework." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57694.

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Numerous collaborative design tools have been developed to accelerate the product development, and recently environments for building distributed simulations have been proposed. For example, a simulation framework called DOME (Distributed Object-oriented Modeling and Evaluation) has been developed in MIT CADLAB. DOME is unique in its decentralized structure that allows heterogeneous simulations to be stitched together while allowing proprietary information an simulation models to remain secure with each participant. While such an approach offers many advantages, it also hides causality and sen

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Astikawati, Yunita, and Avelius Dominggus Sore. "The Effect of Return Volatility Mature Market on Emerging Market: Economometry Model Approach-Granger Causality, Vector Autoregression, Autocorrelation Condition Heteroscedasticity/General Autocorrelation Condition Heteroscedasticity." In International Conference on Business, Economy, Entrepreneurship and Management. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009961402110220.

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Beder, Burak, and Sunay Çıralı. "The Relationship of Renewable Energy with Foreign Trade Balance and The Economic Growth: An Analysis in the Context of Turkey and The European Union." In International Conference on Eurasian Economies. Eurasian Economists Association, 2022. http://dx.doi.org/10.36880/c14.02680.

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Historically, most of the energy need is provided by carbon-intensive primary energy sources. Especially, since the 1970s, this circumstance has exposed two major issues. Firstly, primary energy sources are one of the most significant contributors to climate change since they significantly increase greenhouse gas emissions. Secondly, the fact that primary energy sources are non-renewable, and their limited reserves have recently caused unexpected price movements in energy prices. This situation creates conditions that cause crises, jeopardizes the security of energy supply, and threatens produ

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Reports on the topic "Conditional Granger causality"

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the n

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