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WORKING PAPER
Fractional Integration Methods in Political Science
Box-Steffensmeier, Janet M.

Abstract
Controversies in researching political time series often revolve around the best characterization of the series, i.e., whether a series is stationary or integrated. By using a fractional integration approach, one can avoid this controversy. Fractionally integrated series are mean-reverting, but decay at different rates than a stationary series. Theoretical reasons may also lead one to expect a fractionally integrated series. Estimation of the d parameter in an ARFIMA (p, d, q) model is no longer difficult and multivariate extensions are proving useful. Using fractionally integrated methods can lead to substantive and methodological insights about political processes. We estimate d for congressional approval and economic expectations data from Durr, Gilmour, and Wolbrecht (1997) and test for fractional cointegration.

Keywords
congressional approval
fractional cointegration
Fractional integration


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icnPdfMini boxst99b.pdf


Uploaded
05-02-1999

Document ID Number
224


   
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