Publication Date

1-1-1986

Document Type

Dissertation/Thesis

Degree Name

B.S. (Bachelor of Science)

Legacy Department

Department of Economics

Abstract

There are two basic approaches to forecasting: model building and time data analysis. Model building, the more complex of the two, takes basic economic relationships and develops a simple model for the data. The simple income and consumption equations, Y=C+I and C=α+βY, are a good example of a model. The regression analysis as a method of forecasting shall be examined under the model building approach. The second method, data-based analysis, derives its forecasts on the past values of the forecasted variable. Under this approach, we shall look at exponential smoothing and the ARIMA techniques. These three techniques, regression, exponential smoothing, and ARIMA modeling, shall be explained and then applied to an empirical example.

Comments

Includes bibliographical references.

Extent

14 unnumbered pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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