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  • Search: subject:"Asymptotic mean squared error"
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Year of publication
Subject
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Asymptotic mean squared error 2 Bandwidth selection 1 Covariance matrix estimation 1 HAC estimation 1 Kernel estimator 1 Monte Carlo results 1 Spectral density 1 asymptotic mean squared error (AMSE) 1 automation 1 bias 1 long run variance 1 mean squared error (MSE) 1 predictors 1 trend regression 1 trigonometric polynomial 1 two‐way error components model 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Language
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English 2 Undetermined 1
Author
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Brou, J. M. Bosson 1 Kouassi, Eugene 1 Kymn, Kern O. 1 Masayuki, Hirukawa 1 Phillips, Peter C.B. 1 Sango, Joel 1 Teubissi, Francis N. 1
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Institution
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Cowles Foundation for Research in Economics, Yale University 1 Department of Economics, Concordia University 1
Published in...
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Cowles Foundation Discussion Papers 1 Journal of Forecasting 1 Working Papers / Department of Economics, Concordia University 1
Source
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RePEc 3
Showing 1 - 3 of 3
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Prediction from the regression model with two‐way error components
Kouassi, Eugene; Sango, Joel; Brou, J. M. Bosson; … - In: Journal of Forecasting 30 (2011) 6, pp. 541-564
Persistent link: https://www.econbiz.de/10010990713
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A Two-Stage Plug-In Bandwidth Selection and Its Implementation in Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
Masayuki, Hirukawa - Department of Economics, Concordia University - 2004
The performance of a kernel HAC estimator depends on the accuracy of the estimation of the normalized curvature, an unknown quantity in the optimal bandwidth represented as the spectral density and its derivative. This paper proposes to estimate it with a general class of kernels. The AMSE of...
Persistent link: https://www.econbiz.de/10004968083
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HAC Estimation by Automated Regression
Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 2004
asymptotic mean squared error is derived. The limit theory of the new estimator shows that its properties, including the …
Persistent link: https://www.econbiz.de/10005593628
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