unit roots
From The New Palgrave Dictionary of Economics, Second Edition, 2008
Edited by
Steven
N.
Durlauf and
Lawrence
E.
Blume
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Abstract
Models with autoregressive unit roots play a major role in modern time series analysis and are especially important in macroeconomics, where questions of shock persistence arise, and in finance, where martingale concepts figure prominently in the study of efficient markets. The literature on unit roots is vast and applications of unit root testing span the social, environmental and natural sciences. The present article overviews the theory and concepts that underpin this large field of research and traces the originating ideas and econometric methods that have become central to empirical practice.
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Keywords
ARCH models; ARMA time-series processes; Bayesian inference; Bayesian statistics; Bayesian time series analysis; bias reduction; break point analysis; classical statistics; cointegration; confidence intervals; efficient markets hypothesis; forecasting; functional central limit theorem; GARCH models; integrated conditional heteroskedasticity models; Lagrange multipliers; long-run variance; martingales; model selection; nonstationarity; polynomials; present value; probability; rational expectations business cycle models; real business cycles; spurious regressions; statistical inference; stochastic trends; term structure of interest rates; unit root distributions; unit roots; Wiener processBack to top
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How to cite this article
Phillips, Peter C. B. "unit roots." The New Palgrave Dictionary of Economics. Second Edition. Eds. Steven N. Durlauf and Lawrence E. Blume. Palgrave Macmillan, 2008. The New Palgrave Dictionary of Economics Online. Palgrave Macmillan. 09 February 2010 <http://www.dictionaryofeconomics.com/article?id=pde2008_U000024> doi:10.1057/9780230226203.1764
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