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Seasonal integration and the evolving seasonals model
Hylleberg, Svend
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1995
Persistent link: https://www.econbiz.de/10000146741
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Time series behaviour and dynamic specification
Pagan, Adrian R.
- In:
Oxford bulletin of economics and statistics
47
(
1985
)
3
,
pp. 199-211
Persistent link: https://www.econbiz.de/10001035205
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3
Shocking stories
Levtchenkova, S.
;
Pagan, Adrian R.
;
Robertson, John C.
- In:
Journal of economic surveys
12
(
1998
)
5
,
pp. 507-532
Persistent link: https://www.econbiz.de/10001400861
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4
Seasonal integration and the evolving seasonals model
Hylleberg, Svend
;
Pagan, Adrian R.
-
1996
Persistent link: https://www.econbiz.de/10000953795
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5
Structural models of the liquidity effect
Pagan, Adrian R.
- In:
Proceedings of the 1995 Econometrics Conference at …
,
(pp. 143-170)
.
1995
Persistent link: https://www.econbiz.de/10001294222
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Structural models of the liquidity effect
Pagan, Adrian R.
- In:
The review of economics and statistics
80
(
1998
)
2
,
pp. 202-217
Persistent link: https://www.econbiz.de/10001240841
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7
Dynamic specification
Hendry, David F.
;
Pagan, Adrian R.
;
Sargan, John Denis
-
1992
Persistent link: https://www.econbiz.de/10001327467
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8
Shocking stories
Levtchenkova, S.
;
Pagan, Adrian R.
;
Robertson, John C.
- In:
Practical issues in cointegration analysis
,
(pp. 91-116)
.
1999
Persistent link: https://www.econbiz.de/10001550926
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9
Estimating the density tail index for financial time series
Kearns, Phillip
- In:
The review of economics and statistics
79
(
1997
)
2
,
pp. 171-175
Persistent link: https://www.econbiz.de/10001222499
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10
Some Consequences of Using ‘Measurement Error Shocks’ When Estimating Time Series Models
Pagan, Adrian R.
-
2017
In a number of time times models there are I(1) variables that appear in data sets in differenced from. This note shows that an emerging practice of assuming that observed data relates to model variables through the use of "measurement error shocks" when estimating these models can imply that...
Persistent link: https://www.econbiz.de/10012963313
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