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Search: subject:"Asymptotic mean squared error"
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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
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long run variance
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mean squared error (MSE)
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predictors
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trend regression
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trigonometric polynomial
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two‐way error components model
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Brou, J. M. Bosson
1
Kouassi, Eugene
1
Kymn, Kern O.
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Masayuki, Hirukawa
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Phillips, Peter C.B.
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Sango, Joel
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Teubissi, Francis N.
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Cowles Foundation for Research in Economics, Yale University
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Department of Economics, Concordia University
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Journal of Forecasting
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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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2
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
Saved in:
3
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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