(1) Department of Economics, Florida State University, Tallahassee, FL, 32303, U.S.A.;(2) Department of Economics, Florida State University, Tallahassee, FL, 32303, U.S.A.
Abstract:
We review the literature on long memory ARFIMA and GARMA models andintroduce a new efficient estimator for GARMA models, which we show to berobust. Next we conduct a Monte Carlo study to demonstate the power of theDickie–Fuller test when the data are generated from a stationary GARMAprocess. We conclude with a brief discussion of cointegration in the contextof GARMA models with an application to international interest rates.