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Econometrica Vol. 58 No. 1 1990

Inference in Linear Time Series Models with some Unit Roots

Christopher A. Sims; James H. Stock; Mark W. Watson

Abstract

This paper considers estimation and hypothesis testing in linear time series when some or all of the variables have (possibly multiple) unit roots. The motivating example is a vector autoregression with some unit roots in the companion matrix, which might include polynomials in time as regressors. Parameters that can be written as coefficients on mean zero, nonintegrated regressors have jointly normal asymptotic distribution, converging at the rate of T(superscript "one-half") In general, the other coefficients (including the coefficient on polynomials in time), and associated t and F test statistics, have nonstandard asymptotic distributions.

DOI
10.2307/2938337
Volume
58
Issue
1
Pages
113
Sources
bibtex:phds-export.bib openalex crossref

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