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Multilevel modelling and time series analysis in ... - ERSO - Swov

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Chapter 3Kolmogorov-Smirnov TestIn this case, this hypothesis of normality of the residuals is accepted, becausethe 0,66 value of the Asymp. Sig. (2-tailed) is more than 0.05 (at the usual 95%confidence level).3.4.4.5. Intervention variableIn this section, we will add an <strong>in</strong>tervention variable to the model, <strong>in</strong> view ofperform<strong>in</strong>g a so-called <strong>in</strong>tervention <strong>analysis</strong>.Data descriptionThe reason for the <strong>in</strong>troduction of the <strong>in</strong>tervention variable is the <strong>in</strong>troduction ofthe seat belt law <strong>in</strong> February 1983. The variable will therefore be equal to 1,February 1983 onwards, <strong>and</strong> equal to 0 before (see the Methodology Report).Model estimation <strong>and</strong> validation• Click on Analyze..Time Series..Create Models• Move the variable LDRIVERS <strong>in</strong>to the Dependent Variables list box <strong>and</strong>the variable <strong>in</strong>terv <strong>in</strong> the Independent variables list box.• Choose ARIMA <strong>in</strong> the Method list, click on Criteria <strong>and</strong> then specify themodel you want to estimate.

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