Seasonality in regression

Christopher A. Sims

Research output: Contribution to journalArticlepeer-review

109 Scopus citations


The effects of seasonal noise on regression estimates are considered as a type of errors-in-variables problem. The natures of asymptotic biases due to the presence of seasonal noise and to the nature of seasonal adjustment in regressions using adjusted and unadjusted data are explored. Methods for recognizing such biases and for attenuating their effects are suggested.

Original languageEnglish (US)
Pages (from-to)618-626
Number of pages9
JournalJournal of the American Statistical Association
Issue number347
StatePublished - Jan 1 1974
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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