Off-campus WSU users: To download campus access dissertations, please use the following link to log into our proxy server with your WSU access ID and password, then click the "Off-campus Download" button below.

Non-WSU users: Please talk to your librarian about requesting this dissertation through interlibrary loan.

Access Type

WSU Access

Date of Award


Degree Type


Degree Name




First Advisor

Seeger, Matthew


The purpose is to apply the new ARFIMA methodology to distinguish between different models of long-run behavior i.e. nesting the difference stationary and trend stationary models. In particular, we analyze the long-term dynamic behavior of discreetly observed data at monthly and quarterly frequencies for the G-7 countries spanning the period from 1961 through 2000. First, in this dissertation fractional time series models are estimated using a relatively new maximum likelihood procedure (Li and McLeod, 1986; and Sowell, 1990b). Second, we provide some international evidence on persistence using post war data for the G-7 countries. Finally, the data set includes two output measures, two components of the gross domestic product (GDP), two measures of inflation, two measures of interest rates, a broad money stock measure and the real effective exchange rate.

Off-campus Download