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Economic time series : modeling and seasonality
Bell, William R.
(
ed.
);
Holan, Scott H.
(
ed.
); …
-
2012
Persistent link: https://www.econbiz.de/10013547594
Saved in:
2
A nonlinear algorithm for seasonal adjustment in multiplicative component decompositions
McElroy, Tucker
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
14
(
2010
)
4
,
pp. 1-21
Persistent link: https://www.econbiz.de/10009515137
Saved in:
3
When are direct multi-step and iterative forecasts identical?
McElroy, Tucker
- In:
Journal of forecasting
34
(
2015
)
4
,
pp. 315-336
Persistent link: https://www.econbiz.de/10011305168
Saved in:
4
Multivariate seasonal adjustment, economic identities, and seasonal taxonomy
McElroy, Tucker
- In:
Journal of business & economic statistics : JBES ; a …
35
(
2017
)
4
,
pp. 611-625
Persistent link: https://www.econbiz.de/10011893858
Saved in:
5
A nonparametric method for asymmetrically extending signal extraction filters
McElroy, Tucker
- In:
Journal of forecasting
30
(
2011
)
7
,
pp. 597-621
Persistent link: https://www.econbiz.de/10009380004
Saved in:
6
Matrix formulars for nonstationary ARIMA signal extraction
McElroy, Tucker
- In:
Econometric theory
24
(
2008
)
4
,
pp. 988-1009
Persistent link: https://www.econbiz.de/10003736844
Saved in:
7
Exact formulas for the Hodrick-Prescott filter
McElroy, Tucker
- In:
The econometrics journal
11
(
2008
)
1
,
pp. 209-217
Persistent link: https://www.econbiz.de/10003648736
Saved in:
8
Optimal real-time filters for linear prediction problems
Wildi, Marc
;
McElroy, Tucker
- In:
Journal of time series econometrics
8
(
2016
)
2
,
pp. 155-192
Persistent link: https://www.econbiz.de/10011582769
Saved in:
9
Spectral density and spectral distribution inference for long memory time series via fixed-b asymptotics
McElroy, Tucker
;
Politis, Dimitris N.
- In:
Journal of econometrics
182
(
2014
)
1
,
pp. 211-225
Persistent link: https://www.econbiz.de/10010497087
Saved in:
10
Testing collinearity of vector time series
McElroy, Tucker
;
Jach, Agnieszka
- In:
The econometrics journal
22
(
2019
)
2
,
pp. 97-116
Persistent link: https://www.econbiz.de/10012166700
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