Testing for cyclical non-stationarity in autoregressive processes

Robert M. Kunst

Research output: Contribution to journalArticlepeer-review

Abstract

This paper deals with the distributions evolving from the likelihood-ratio test for the factor 1-B^n in the lag polynomial Phi(B) under the basic assumption that the data series is generated by the autoregressive model Phi(B)X_t = epsilon_t where {epsilon_t} denotes Gaussian white noise. A characterization of the statistic and its asymptotic properties is given. Asymptotic and finite-sample significance points are tabulated. The test procedure is illustrated by an economics example.
Original languageEnglish
Pages (from-to)123-135
Number of pages13
JournalJournal of Time Series Analysis
Volume18
Issue number2
DOIs
Publication statusPublished - Mar 1997

Fields of science

  • 405002 Agricultural economics
  • 502 Economics
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