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  • Search: subject:"Asymptotic normal"
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Year of publication
Subject
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Monte Carlo experiment 4 Asymptotic normal 2 Cointegration 2 Estimation theory 2 Fractional cointegration 2 Kointegration 2 Monte Carlo simulation 2 Monte-Carlo-Simulation 2 Residual-based test 2 Schätztheorie 2 asymptotic normal 2 fractional cointegration 2 residual-based test 2 Asymptotic normal distribution 1 Economic models 1 Exchange rates 1 Gap test 1 Heterogeneity 1 Homogeneity 1 Maximum F statistics 1 Minimum within-cluster sum of squares 1 Significance test 1 Statistical test 1 Statistischer Test 1 Time series analysis 1 Zeitreihenanalyse 1 arithmetic 1 asymptotic distribution 1 asymptotic normal distribution 1 asymptotic normal test statistic 1 cointegration 1 confidence interval 1 correlation 1 covariance 1 cross-country variation 1 current account balance 1 current accounts 1 data analysis 1 econometrics 1 effective exchange rate 1
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Online availability
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Free 3 Undetermined 3
Type of publication
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Article 6 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1
Language
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English 4 Undetermined 3
Author
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Chan, Ngai Hang 4 Wang, Man 4 Wang, Bin 2 Bock, H. 1 Dunaway, Steven Vincent 1 Heller, Glenn 1 Leigh, Lamin 1 Li, Xiangming 1 Qin, Jing 1
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Institution
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International Monetary Fund (IMF) 1
Published in...
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Econometrics 1 Econometrics : open access journal 1 Economics Letters 1 Economics letters 1 IMF Working Papers 1 Journal of Classification 1 Statistical Applications in Genetics and Molecular Biology 1
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Source
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RePEc 4 ECONIS (ZBW) 2 EconStor 1
Showing 1 - 7 of 7
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Testing for the equality of integration orders of multiple series
Wang, Man; Chan, Ngai Hang - In: Econometrics 4 (2016) 4, pp. 1-10
Testing for the equality of integration orders is an important topic in time series analysis because it constitutes an essential step in testing for (fractional) cointegration in the bivariate case. For the multivariate case, there are several versions of cointegration, and the version given in...
Persistent link: https://www.econbiz.de/10011755353
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Testing for the equality of integration orders of multiple series
Wang, Man; Chan, Ngai Hang - In: Econometrics : open access journal 4 (2016) 4, pp. 1-10
Testing for the equality of integration orders is an important topic in time series analysis because it constitutes an essential step in testing for (fractional) cointegration in the bivariate case. For the multivariate case, there are several versions of cointegration, and the version given in...
Persistent link: https://www.econbiz.de/10011650498
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Residual-based test for fractional cointegration
Wang, Bin; Wang, Man; Chan, Ngai Hang - In: Economics Letters 126 (2015) C, pp. 43-46
By allowing deviations from equilibrium to follow a fractionally integrated process, the notion of fractional cointegration analysis encompasses a wide range of mean-reverting behaviors. For fractional cointegrations, asymptotic theories have been extensively studied, and numerous empirical...
Persistent link: https://www.econbiz.de/10011189520
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Residual-based test for fractional cointegration
Wang, Bin; Wang, Man; Chan, Ngai Hang - In: Economics letters 126 (2015), pp. 43-46
Persistent link: https://www.econbiz.de/10011376390
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How Robust Are Estimates of Equilibrium Real Exchange Rates; The Case of China
Leigh, Lamin; Dunaway, Steven Vincent; Li, Xiangming - International Monetary Fund (IMF) - 2006
Increased attention is being paid to assessments of the actual values of countries' real exchange rates relative to their "equilibrium" values as suggested by "fundamental" determining factors. This paper assesses the robustness of alternative approaches and models commonly used to derive...
Persistent link: https://www.econbiz.de/10005264021
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Inference on the Limiting False Discovery Rate and the P-value Threshold Parameter Assuming Weak Dependence between Gene Expression Levels within Subject
Heller, Glenn; Qin, Jing - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 14-14
An objective of microarray data analysis is to identify gene expressions that are associated with a disease related outcome. For each gene, a test statistic is computed to determine if an association exists, and this statistic generates a marginal p-value. In an effort to pool this information...
Persistent link: https://www.econbiz.de/10005585087
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On some significance tests in cluster analysis
Bock, H. - In: Journal of Classification 2 (1985) 1, pp. 77-108
Persistent link: https://www.econbiz.de/10005376088
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