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Sieve bootstrap for fixed-b Phillips-Perron unit root test
Wang, Zhenxin; Wang, Shaoping; Yan, Yayi - In: Computational economics 64 (2024) 6, pp. 3181-3205
Persistent link: https://www.econbiz.de/10015144195
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Tests of random walk : a comparison of bootstrap approaches
Lima, Eduardo José Araújo; Tabak, Benjamin Miranda - In: Computational economics 34 (2009) 4, pp. 365-382
Persistent link: https://www.econbiz.de/10003894937
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A computationally efficient, consistent bootstrap for inference with non-parametric DEA estimators
Kneip, Alois; Simar, Léopold; Wilson, Paul W. - In: Computational economics 38 (2011) 4, pp. 483-515
Persistent link: https://www.econbiz.de/10009356871
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Statistical inferences for generalized Pareto distribution based on interior penalty function algorithm and Bootstrap methods and applications in analyzing stock data
Huang, Chao; Lin, Jin-guan; Ren, Yan-yan - In: Computational economics 39 (2012) 2, pp. 173-193
Persistent link: https://www.econbiz.de/10009513172
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Bootstraps for meta-analysis with an application to the impact of climate change
Tol, Richard S. J. - In: Computational economics 46 (2015) 2, pp. 287-303
Persistent link: https://www.econbiz.de/10011478479
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Bootstrap inference of level relationships in the presence of serially correlated errors : a large scale simulation study and an application in energy demand
Yalta, A. Talha - In: Computational economics 48 (2016) 2, pp. 339-366
Persistent link: https://www.econbiz.de/10011646786
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Testing for unit roots in dynamic panels with smooth breaks and cross-sectionally dependent errors
Omay, Tolga; Hasanov, Mübariz; Shin, Yongcheol - In: Computational economics 52 (2018) 1, pp. 167-193
Persistent link: https://www.econbiz.de/10012052928
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The electricity consumption and economic growth nexus in China : a bootstrap seemingly unrelated regression estimator approach
Wang, Jianlin; Zhao, Jiajia; Li, Hongzhou - In: Computational economics 52 (2018) 4, pp. 1195-1211
Persistent link: https://www.econbiz.de/10012053341
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On Jackknife-after-bootstrap method for dependent data
Beyaztas, Ufuk; Beyaztas, Beste H. - In: Computational economics 53 (2019) 4, pp. 1613-1632
Persistent link: https://www.econbiz.de/10012135579
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Machine learning and sampling scheme : an empirical study of money laundering detection
Zhang, Yan; Trubey, Peter - In: Computational economics 54 (2019) 3, pp. 1043-1063
Persistent link: https://www.econbiz.de/10012134506