Model Selection in ARMA(p,q) Processes

John D. Levendis
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John D. Levendis: Loyola University New Orleans

Chapter 3 in Time Series Econometrics, 2018, pp 47-80 from Springer

Abstract: Abstract In practice, the form of the underlying process that generated the data is unknown. Should we estimate an AR(p) model, an MA(q) model, or an ARMA(p,q) model? Moreover, what lag lengths of p and q should we choose? We simply do not have good a priori reason to suspect that the data generating process is of one type or another, or a combination of the two. How is a researcher to proceed? Which sort of model should we estimate?

Date: 2018
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DOI: 10.1007/978-3-319-98282-3_3

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