Arbeitspapier

A note on the accuracy of Markov-chain approximations to highly persistent AR(1)-processes

This note examines the accuracy of methods that are commonly used to approximate AR(1)-processes with discrete Markov chains. The quadrature-based method suggested by Tauchen and Hussey (1991) generates excellent approximations with a small number of nodes when the autocorrelation is low or modest. This method however has problems when the autocorrelation is high, as it typically is found to be in recent empirical studies of income processes. I suggest an alternative weighting function for the Tauchen-Hussey method, and I also note that the older method suggested by Tauchen (1986) is relatively robust to high autocorrelation.

Sprache
Englisch

Erschienen in
Series: SSE/EFI Working Paper Series in Economics and Finance ; No. 656

Klassifikation
Wirtschaft
Mathematical Methods; Programming Models; Mathematical and Simulation Modeling: General
Thema
numerical methods
income processes
autoregressive process
Markovscher Prozess
Numerisches Verfahren
VAR-Modell
Theorie

Ereignis
Geistige Schöpfung
(wer)
Flodén, Martin
Ereignis
Veröffentlichung
(wer)
Stockholm School of Economics, The Economic Research Institute (EFI)
(wo)
Stockholm
(wann)
2007

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Flodén, Martin
  • Stockholm School of Economics, The Economic Research Institute (EFI)

Entstanden

  • 2007

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