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~isPartOf:"Meddelanden från Svenska Handelshögskolan"
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Meddelanden från Svenska Handelshögskolan
Middlebury College working paper series
47
Kiel Working Paper
33
Kiel working paper
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Allowing for short and long term components in an aggregate demand model for nondurables : an application to the demand for soft drinks
Jusélius, Katarina
-
1981
Persistent link: https://www.econbiz.de/10002150900
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2
The error-correcting mechanism : an application to the demand for money in Finland
Jusélius, Katarina
-
1984
Persistent link: https://www.econbiz.de/10002150962
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3
Identification and estimation of seasonal dynamic models : some simulation results
Jusélius, Katarina
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1982
Persistent link: https://www.econbiz.de/10002150995
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4
Modelling univariate seasonal time series : a reappraisal of the empirical results in Prothero and Wallis Modelling macroeconomic time series
Jusélius, Katarina
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1981
Persistent link: https://www.econbiz.de/10002151014
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5
Seasonality in dynamic regression models : an application to the demand for money in Finland
Jusélius, Katarina
-
1981
Persistent link: https://www.econbiz.de/10002151094
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6
Seasonality in dynamic regression models : an application of the demand for money in Finland
Juselius, Katarina
-
1981
Persistent link: https://www.econbiz.de/10004815161
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7
Dynamic specification of an aggregate demand model for nondurables
Juselius, Katarina
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1980
Persistent link: https://www.econbiz.de/10004815162
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8
Allowing for short and long term components in an aggregate demand model for nondurables : an application to the demand for soft drinks
Juselius, Katarina
-
1981
Persistent link: https://www.econbiz.de/10004815163
Saved in:
9
Finite sample prediction of stationary and non-invertible ARMA processes : a comparison of the CSS technique (conditional sum of squares) and Kalman filtering
Juselius, Katarina
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1979
Persistent link: https://www.econbiz.de/10004815165
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10
Identification and estimation of seasonal dynamic models : some simulation results
Juselius, Katarina
-
1982
Persistent link: https://www.econbiz.de/10004815170
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