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Textbook Example Files

Commandeur and Koopman's Introduction to State Space Time Series Analysis

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Textbook Examples

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Examples From Commandeur and Koopman's Introduction to State Space Time Series Analysis

This page provides links to example programs for An Introduction to State Space Time Series Analysis, by Commandeur and Koopman (2004, Oxford Univ).

The Zip file listed first in the table below includes all the sample programs, data files (when available), and, in some cases, files containing RATS procedures used by the examples. If you want to actually run any of the examples, you should download the Zip file.

If you prefer just to view the code for a particular example, just click on the example name (the files are referenced by page number). Again, if you actually want to run these, you should download the zip file listed first to get the required data and procedure files.

Note that all of the textbook example, data, and procedure files currently available on our website are also included on the CD with the current release of the RATS software.

File Name Description

chapter1.prg Descriptive statistics;graphs

chapter2_norway.prg Local level model, estimation of variances

chapter2_uk.prg Local level model

chapter3_finland.prg Local trend model, estimation, Kalman smoothing

chapter3_uk.prg Local trend model, estimation, Kalman smoothing

chapter4_inflation.prg UC model with seasonal

chapter4_uk.prg UC model with seasonal

chapter5_uk.prg Local level model with exogenous shift

chapter6_uk.prg Local level model with intervention variable

chapter7_inflation.prg Seasonal model with intervention variables

chapter7_uk.prg Seasonal model with exogenous shifts

chapter8_nor_fin_forecast.prg Local trend model, out-of-sample predictions

chapter8_norway.prg Local level model, out-of-sample predictions

chapter8_uk.prg UC model with seasonal

chapter8_uk_diags.prg UC model with seasonal; diagnostics

chapter8_uk_forecast.prg UC model with seasonal; out-of-sample predictions

chapter8_uk_missing.prg UC model with seasonal; missing data handling

chapter9_bivariate.prg Seasonal model with multiple observables

commandeurkoopman.zip Zip file with all programs, data files


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This file was last modified on 01/26/10


Textbook Examples:


Baltagi's Econometrics

Brockwell and Davis' Introduction to Time Series and Forecasting

Commandeur and Koopman's Introduction to State Space Time Series Analysis

DeLurgio's Forecasting Principles and Applications

Diebold's Elements of Forecasting

Durbin and Koopman's Time Series Analysis by State Space Methods

Greene's Econometric Analysis

Gujarati's Basic Econometrics

Hamilton's Time Series Analysis

Hayashi's Econometrics

Hill, Griffiths, and Lim's Principles of Econometrics

Johnston and DiNardo's Econometric Methods

Koop's Bayesian Econometrics

Makridakis et al's Forecasting Methods

Pindyck and Rubinfeld's Econometric Models and Economic Forecasts

Stock and Watson's Introduction to Econometrics, 2nd Edition

Tsay's Analysis of Financial Time Series, 2nd Edition

Verbeek's A Guide to Modern Econometrics

West and Harrison's Bayesian Forecasting and Dynamic Models

Wooldridge's Econometric Analysis of Cross Section and Panel

Wooldridge's Introductory Econometrics