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A medium-N approach to macroeconomic forecasting
Cubadda, Gianluca; Guardabascio, Barbara - In: Economic modelling 29 (2012) 4, pp. 1099-1105
Persistent link: https://www.econbiz.de/10009667434
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Factor analysis regression for predictive modeling with high-dimensional data
Carter, Randy L.; Michael, Netsanet - In: Journal of quantitative economics 20 (2022), pp. 115-132
Persistent link: https://www.econbiz.de/10013441609
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Optimal choice of cotton subsidy mode in China : empirical study based on principal component regression
Shi, Jianzhong; Li, Yuhong - In: Modern economy 4 (2013) 7, pp. 466-470
Persistent link: https://www.econbiz.de/10010242193
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Forecasting simultaneously high-dimensional time series : a robust model-based clustering approach
Wang, Yongning; Tsay, Ruey S.; Ledolter, Johannes; … - In: Journal of forecasting 32 (2013) 8, pp. 673-684
Persistent link: https://www.econbiz.de/10010344465
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The research on influencing factors of stock price fluctuation of listed companies in China based on PCA-multiple regression
Ma, Yan - In: Inventi impact: microfinance & banking (2021) 3, pp. 142-152
Persistent link: https://www.econbiz.de/10012816968
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Analysis of influencing factors of grain yield based on multiple linear regression
Chang, Victor; Xu, Qianwen - In: International journal of business and systems research … 15 (2021) 3, pp. 337-355
Persistent link: https://www.econbiz.de/10012513974
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Spurious principal components
Franses, Philip Hans; Janssens, Eva - In: Applied economics letters 26 (2019) 1, pp. 37-39
Persistent link: https://www.econbiz.de/10012204125
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Subspace shrinkage in conjugate Bayesian vector autoregressions
Huber, Florian; Koop, Gary - In: Journal of applied econometrics 38 (2023) 4, pp. 556-576
Persistent link: https://www.econbiz.de/10014288019
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Spatial analysis of socio-economic and demographic factors influencing urban flood vulnerability
Islam, Md Tazmul; Meng, Qingmin - In: Journal of urban management 13 (2024) 3, pp. 437-455
Rapid urbanization and climate change require a thorough understanding of flood vulnerability in order to assure urban safety and resilience. Understanding the factors that contribute to flood vulnerability, allows us to develop effective initiatives that could mitigate the destructive...
Persistent link: https://www.econbiz.de/10015056882
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A comparison of corporate social responsibility engagement in the OECD countries with categorical data
Gallén, María L.; Peraita, Carlos - In: Applied economics letters 22 (2015) 10/12, pp. 1005-1009
Persistent link: https://www.econbiz.de/10011286528