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Title:Non-Stationarity, Forecast Performance and Fluctuations in Macroeconomic Series: Experience With United States Seasonal Data and Simulations
Author(s):Islam, Faridul
Doctoral Committee Chair(s):Newbold, Paul
Department / Program:Economics
Discipline:Economics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Economics, General
Abstract:Forecast performance of the fitted models is investigated, and statistical comparisons made. These are related to the structures of the fitted models and to the outcomes of the unit root tests. If non-stationarity is present in the series then this framework also enables us to assess the value of the test in the conduct of a forecasting exercise. It is generally agreed that most economic time series contains substantial MA component in the DGP. Recent research shows that the power of the unit root test for annual data is significantly affected by such MA components. This thesis performs some simulation exercises using seasonal data to examine the properties of the unit root test under such situations.
Issue Date:1996
Type:Text
Language:English
Description:160 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1996.
URI:http://hdl.handle.net/2142/85602
Other Identifier(s):(MiAaPQ)AAI9625145
Date Available in IDEALS:2015-09-25
Date Deposited:1996


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