Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions
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Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions (2015)
DE PB NW RP
ISBN: 9783659745867 bzw. 3659745863, in Deutsch, LAP Lambert Academic Publishing Aug 2015, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data; typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions. 88 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data; typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions. 88 pp. Englisch.
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Forecasting Palestinian Gross Domestic Product Using Midas Regressions (Paperback) (2015)
DE PB NW RP
ISBN: 9783659745867 bzw. 3659745863, in Deutsch, LAP Lambert Academic Publishing, United States, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data; typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions.
Language: English Brand New Book ***** Print on Demand *****.In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data; typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions.
3
Symbolbild
Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions
DE NW
ISBN: 9783659745867 bzw. 3659745863, in Deutsch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten.
In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data; typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions.
In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data; typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions.
4
Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions
~EN NW AB
ISBN: 9783659745867 bzw. 3659745863, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Deutschland, Lieferzeit: 5 Tage.
In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data, typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions.
In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data, typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions.
5
Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions
~EN PB NW
ISBN: 9783659745867 bzw. 3659745863, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions: In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions. Englisch, Taschenbuch.
Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions: In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables. They cannot directly apply such models to a mixed-frequency dataset. The Mixed Data Sampling (MIDAS) regression models deal with this type of data typically the economic indicators from those observed daily, monthly, quarterly to those yearly. In this study, we introduce MIDAS regression approach which is relatively assumed as a new area. We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations. This is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions. Englisch, Taschenbuch.
6
Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions
~EN PB NW
ISBN: 3659745863 bzw. 9783659745867, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
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Forecasting Palestinian Gross Domestic Product Using MIDAS Regressions
EN NW
ISBN: 9783659745867 bzw. 3659745863, in Englisch, OmniScriptum GmbH & Co. KG, OmniScriptum GmbH & Co. KG, OmniScriptum GmbH & Co. KG, neu.
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AlQawasmi Mustafa, Sadeq Tareq, Paperback, English-language edition, Pub by OmniScriptum GmbH & Co. KG.
AlQawasmi Mustafa, Sadeq Tareq, Paperback, English-language edition, Pub by OmniScriptum GmbH & Co. KG.
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