Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
State Space Methods in Stata | Drukker | Journal of Statistical Software
Authors: David M. Drukker, Richard B. Gates
Title: State Space Methods in Stata
Abstract: We illustrate how to estimate parameters of linear state-space models using the Stata program sspace. We provide examples of how to use sspace to estimate the parameters of unobserved-component models, vector autoregressive moving-average models, and dynamic-factor models. We also show how to compute one-step, filtered, and smoothed estimates of the series and the states; dynamic forecasts and their confidence intervals; and residuals.

Page views:: 14735. Submitted: 2010-01-15. Published: 2011-05-12.
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DOI: 10.18637/jss.v041.i10

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