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The Stata Journal
Volume 6 Number 4: pp. 561-579

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Speaking Stata: In praise of trigonometric predictors

Nicholas J. Cox
Department of Geography
Durham University
Durham City, UK
Abstract.   Using sine and cosine terms as predictors in modeling periodic time series and other kinds of periodic responses is a long-established technique, but it is often overlooked in many courses or textbooks. Such trigonometric regression is straightforward in Stata through applications of existing commands. I give various examples using classic periodic datasets on the motion of the asteroid Pallas and the daily rhythm of birth numbers. I make a brief connection to polynomial-trigonometric regression.
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View all articles with these keywords: circular regression, Fourier regression, harmonic regression, periodic regression, polynomial-trigonometric regression, trigonometric regression, sine, cosine

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