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Modeling qualitative between-person heterogeneity in time series using latent class vector autoregressive models. [PDF]
Ernst AF, Haslbeck JMB.
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Dynamic interactions of COVID-19 incidences, mobility, and social distancing policies in seoul: A VAR model approach. [PDF]
Hu Z, Chang W, Jang Y, Jo Y, Jung J.
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The impact of China's clean energy market on the market connectivity of rare earth industrial chain. [PDF]
Li J, Zhao Y, Dou S, Zhu Y, Xu D.
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Grouped Network Vector Autoregression
Statistica Sinica, 2020Time series analyses are often used to model a continuous response for all individuals at equally spaced time points. With the rapid advance of social network sites, network data are becoming increasingly available. The network vector autoregression (NAR)
Xuening Zhu, Rui Pan
semanticscholar +3 more sources
Energy Economics, 2022
Resolving the conflict between economic growth and CO 2 reduction is critical for sustainable growth. Increasing integration into global value chains (GVCs) is an inevitable trend for countries to develop their international markets. However, the dynamic
Jing Wang, D. Rickman, Yihua Yu
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Resolving the conflict between economic growth and CO 2 reduction is critical for sustainable growth. Increasing integration into global value chains (GVCs) is an inevitable trend for countries to develop their international markets. However, the dynamic
Jing Wang, D. Rickman, Yihua Yu
semanticscholar +1 more source
Emerging markets finance & trade, 2022
This research applies panel vector autoregression method (PVAR) to analyze the annual panel data of Chinese A-share listed companies over the period 2009–2020, to study the relationship between enterprise ESG performance and enterprise dynamic financial ...
Chao Li, Mian Wu, Wenli Huang
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This research applies panel vector autoregression method (PVAR) to analyze the annual panel data of Chinese A-share listed companies over the period 2009–2020, to study the relationship between enterprise ESG performance and enterprise dynamic financial ...
Chao Li, Mian Wu, Wenli Huang
semanticscholar +1 more source
Vector Autoregressions and Causality [PDF]
The asymptotic properties of Granger-type causality tests in unrestricted and nonstationary vector autoregression models are discussed. A sufficiency condition involving a rank condition on the submatrix of the cointegrating matrix is developed under which the above causality tests are shown to be valid asymptotically as chi-square criteria.
Toda, Hiro Y, Phillips, Peter C B
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Forecasting Mortality with International Linkages: A Global Vector-Autoregression Approach
Social Science Research Network, 2021This paper proposes a Global Vector Autoregression (GVAR) mortality model to simultaneously model and forecast multi-population mortality dynamics. The proposed GVAR model decomposes the global regression model into population-wise local systems.
Hong Li, Yanlin Shi
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