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ECONIS (ZBW)
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1
Non- and semiparametric identification of seasonal nonlinear autoregression models
Yang, Lijian
;
Tschernig, Rolf
- In:
Econometric theory
18
(
2002
)
6
,
pp. 1408-1448
Persistent link: https://www.econbiz.de/10001716911
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2
Semi-parametric seasonal unit root tests
Barrio Castro, Tomás del
;
Rodrigues, Paulo M. M.
; …
- In:
Econometric theory
34
(
2018
)
2
,
pp. 447-476
Persistent link: https://www.econbiz.de/10011950979
Saved in:
3
Regression-based seasonal unit root tests
Smith, Richard J.
;
Taylor, Robert
;
Barrio Castro, Tomas del
- In:
Econometric theory
25
(
2009
)
2
,
pp. 527-560
Persistent link: https://www.econbiz.de/10003818361
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4
Moment generating functions and further exact results for seasonal autoregressions
Pitarakis, Jean-Yves
- In:
Econometric theory
14
(
1998
)
6
,
pp. 770-782
Persistent link: https://www.econbiz.de/10001352158
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5
Minimizing average risk in regression models
Claeskens, Gerda
;
Hjort, Nils Lid
- In:
Econometric theory
24
(
2008
)
2
,
pp. 493-527
Persistent link: https://www.econbiz.de/10003894211
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6
Unit root seasonal autoregressive models with a polynomial trend of higher degree
Nabeya, Seiji
- In:
Econometric theory
17
(
2001
)
2
,
pp. 357-385
Persistent link: https://www.econbiz.de/10001568401
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7
On Phillips-Perron-type tests for seasonal unit roots
Breitung, Jörg
- In:
Econometric theory
14
(
1998
)
2
,
pp. 200-221
Persistent link: https://www.econbiz.de/10001245309
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8
Dynamic regression and filtered data series : a Laplace approximation to the effects of filtering in small samples
Ghysels, Eric
- In:
Econometric theory
12
(
1996
)
3
,
pp. 432-457
Persistent link: https://www.econbiz.de/10001207534
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9
Fully modified estimation of seasonally cointegrated processes
Grégoir, Stéphane
- In:
Econometric theory
26
(
2010
)
5
,
pp. 1491-1528
Persistent link: https://www.econbiz.de/10008662659
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10
A unified approach to the measurement error problem in time series models
Tanaka, Katsuto
- In:
Econometric theory
18
(
2002
)
2
,
pp. 278-296
Persistent link: https://www.econbiz.de/10001661295
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