microsimulation / ijm-xml

XML files for the International Journal of Microsimulation
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Tables in boxed-text 00117 #159

Open fred-atherden opened 5 years ago

fred-atherden commented 5 years ago

Article 00117 has 7 tables (table-wrap) which are captured in boxed-text. The content should be captured using def-list instead of table-wrap.

i.e. The following:

<boxed-text id="box1">
    <label>Box 1.</label>
    <caption>
        <title>Summary of OLS regression with a lagged dependent variable (LDV).</title>
    </caption>
    <table-wrap position="float">
        <table frame="hsides" rules="groups">
            <tbody>
                <tr>
                    <td>Description of approach:</td>
                    <td>Standard model with an LDV.</td>
                </tr>
                <tr><td>Estimation:</td>
                    <td>Ordinary least squares (OLS)</td></tr>
                <tr><td>Assumptions on individual effects and errors:</td>
                    <td><italic>&#x03BC;<sub>i</sub></italic> &#x003D; 0, <italic>&#x03B5;<sub>i,t</sub></italic> &#x003D; <italic>&#x03C5;<sub>i,t</sub></italic>~<italic>iid N</italic>(0, <italic>&#x03C3;</italic><sup>2</sup>), Cov(<italic>&#x03B5;<sub>i,t</sub></italic>, <italic><bold>x</bold><sub>i,t</sub></italic>) &#x003D; 0</td></tr>
                <tr><td>Estimates of main effects of time-invariant predictors:</td>
                    <td>Estimated and included directly in the simulation</td></tr>
                <tr><td>Implementation in the simulation:</td>
                    <td>Coefficients (<italic>&#x03B3;</italic>, <italic>&#x03B1;</italic>, and <bold><italic>&#x03B2;</italic></bold>) applied to the corresponding individual values to get predicted mean for each individual. Random number drawn from normal distribution with mean equal to the predicted mean and standard deviation equal to <italic>&#x03C3;</italic>.</td></tr>
                <tr><td>Other advantages and disadvantages:</td>
                    <td>Simple to estimate the model and implement in the simulation.</td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
</boxed-text>

should be changed to:

<boxed-text id="box1">
    <label>Box 1.</label>
    <caption>
        <title>Summary of OLS regression with a lagged dependent variable (LDV).</title>
    </caption>
    <def-list>
        <def-item>
            <term>Description of approach:</term>
            <def><p>Standard model with an LDV.</p></def>
        </def-item>
        <def-item>
            <term>Estimation:</term>
            <def><p>Ordinary least squares (OLS)</p></def>
        </def-item>
        <def-item>
            <term>Assumptions on individual effects and errors:</term>
            <def><p><italic>&#x03BC;<sub>i</sub></italic> &#x003D; 0, <italic>&#x03B5;<sub>i,t</sub></italic> &#x003D; <italic>&#x03C5;<sub>i,t</sub></italic>~<italic>iid N</italic>(0, <italic>&#x03C3;</italic><sup>2</sup>), Cov(<italic>&#x03B5;<sub>i,t</sub></italic>, <italic><bold>x</bold><sub>i,t</sub></italic>) &#x003D; 0</p></def>
        </def-item>
        <def-item>
            <term>Estimates of main effects of time-invariant predictors:</term>
            <def><p>Estimated and included directly in the simulation</p></def>
        </def-item>
        <def-item>
            <term>Implementation in the simulation:</term>
            <def><p>Coefficients (<italic>&#x03B3;</italic>, <italic>&#x03B1;</italic>, and <bold><italic>&#x03B2;</italic></bold>) applied to the corresponding individual values to get predicted mean for each individual. Random number drawn from normal disdef-itemibution with mean equal to the predicted mean and standard deviation equal to <italic>&#x03C3;</italic>.</p></def>
        </def-item>
        <def-item>
            <term>Other advantages and disadvantages:</term>
            <def><p>Simple to estimate the model and implement in the simulation.</p></def>
        </def-item>
    </def-list>
</boxed-text>