• DOI:10.2307/2938337
• Corpus ID: 14984894

INFERENCE IN LINEAR TIME SERIES MODELS WITH SOME UNIT ROOTS

@article{Sims1990INFERENCEIL,
  title={INFERENCE IN LINEAR TIME SERIES MODELS WITH SOME UNIT ROOTS},
  author={Christopher A. Sims and James H. Stock and Mark W. Watson},
  journal={Econometrica},
  year={1990},
  volume={58},
  pages={113-144}
}

• C. Sims, J. Stock, M. Watson
• Published 1990
• Mathematics
• Econometrica

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. Copyright 1990 by The Econometric Society.