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Testing for the appropriate level of clustering in linear regression models
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2020
prove the asymptotic validity of a wild bootstrap implementation. The proposed tests work for a null hypothesis of either no … determine the appropriate level of clustering. Simulations suggest that the bootstrap tests perform very well under the null …
Persistent link: https://www.econbiz.de/10012201366
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How to implement the bootstrap in static or stable dynamic regression models
Giersbergen, Noud P. A. van; Kiviet, J. F. - 2001
different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and …
Persistent link: https://www.econbiz.de/10011325661
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Small sample adjustment for hypotheses testing on cointegrating vectors
Canepa, Alessandra - In: Journal of time series econometrics 14 (2022) 1, pp. 51-85
Persistent link: https://www.econbiz.de/10013260145
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Improved inference on the rank of a matrix
Chen, Qihui; Fang, Zheng - In: Quantitative economics : QE ; journal of the … 10 (2019) 4, pp. 1787-1824
under are highly nonstandard due to the inherent irregular natures of the problem, and then construct bootstrap critical …
Persistent link: https://www.econbiz.de/10012202917
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The Romano-Wolf multiple hypothesis correction in Stata
Clarke, Damian; Romano, Joseph P.; Wolf, Michael - 2019
When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
Persistent link: https://www.econbiz.de/10012147332
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Change point estimation in panel data without boundary issue
Peštová, Barbora; Pešta, Michal - In: Risks : open access journal 5 (2017) 1, pp. 1-22
Panel data of our interest consist of a moderate number of panels, while the panels contain a small number of observations. An estimator of common breaks in panel means without a boundary issue for this kind of scenario is proposed. In particular, the novel estimator is able to detect a common...
Persistent link: https://www.econbiz.de/10011636497
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Heteroskedasticity-and-autocorrelation-consistent bootstrapping
Davidson, Russell; Monticini, Andrea - 2014
disturbances,where the heteroskedasticity and autocorrelation are of unknown form. A particular version of the wild bootstrap can … dependent wild bootstrap. Here, we extend this new method, and link it to the well-known HAC covariance estimator, in much the … same way as one can link the wild bootstrap to the HCCME. It works very well even with sample sizes smaller than 50, and …
Persistent link: https://www.econbiz.de/10011774249
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Critical values for cointegration tests
MacKinnon, James G. - 2010
This paper provides tables of critical values for some popular tests of cointegration and unit roots. Although these tables are necessarily based on computer simulations, they are much more accurate than those previously available. The results of the simulation experiments are summarized by...
Persistent link: https://www.econbiz.de/10003919736
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Testing for equality between two copulas
Remillard, Bruno (contributor);  … - 2007
We develop a test of equality between two dependence structures estimated through empirical copulas. We provide inference for independent or paired samples. The multiplier central limit theorem is used for calculating p-values of the Crameacute;r-von Mises test statistic. Finite sample properties...
Persistent link: https://www.econbiz.de/10003550857
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Robust subsampling
Camponovo, Lorenzo (contributor);  … - 2006
regression model. Monte Carlo simulations in two settings where the bootstrap fails show the accuracy and robustness of the …
Persistent link: https://www.econbiz.de/10003394379