Testing and Dating of Structural Changes in Practice

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Date

2002

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Publisher

Universitätsbibliothek Dortmund

Abstract

The paper presents an approach to the analysis of data that contains (multiple) structural changes in a linear regression setup. We implement various strategies which have been suggested in the literature for testing against structural changes as well as a dynamic programming algorithm for the dating of the breakpoints in the R statistical software package. Using historical data on Nile river discharges, road casualties in Great Britain and oil prices in Germany it is shown that changes in the mean of a time series as well as in the coefficients of a linear regression are easily matched with identifiable historical, political or economic events.

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Keywords

structural change, changepoint problem, segmented regressions, R, S, Bellman principle

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