Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382019-03-01T15:35:36ZUnderstanding Society User Support
Redmine Understanding Society User Support - Support #1152 (Resolved): Coding of x_jbxpcha in Waves 6 and 8https://iserredex.essex.ac.uk/support/issues/11522019-03-01T15:35:36ZNhlanhla Ndebele
<p>I am using the variable x_jbxpcha as part of a longitudinal study and noted that response options include a 'does not apply' option in Waves 6 and 8 (this option is not present in Waves 2 and 4) and have seen previous feedback on USoc User Support (Support <a class="issue tracker-3 status-3 priority-4 priority-default" title="Support: Variables jbxpcha and jblkcha (Resolved)" href="https://iserredex.essex.ac.uk/support/issues/991">#991</a>) on this issue which suggested that this might apply to self-employed respondents. However, my sample is limited to employees only (i.e. x_jbsemp == 1) but I still have respondents who answered 'does not apply'. I am at a loss as to who these respondents are and whether they can be classified under 'yes' or 'no' in a binary variable.</p> Understanding Society User Support - Support #1110 (Resolved): Uprating Wages for Inflationhttps://iserredex.essex.ac.uk/support/issues/11102018-12-04T12:46:13ZNhlanhla Ndebele
<p>Can you please assist me with this?</p>
<p>As data collection for each wave in conducted over a 2-year period, when using the wage variables is it necessary to uprate wages to allow for inflation when using one wave or is this already taken into account for a particular wave?</p> Understanding Society User Support - Support #1009 (Resolved): Details of the f_paygu_dv variablehttps://iserredex.essex.ac.uk/support/issues/10092018-07-25T18:26:37ZNhlanhla Ndebele
<p>I am using the f_paygu_dv variable in my analysis but struggling to find details of how it was derived. The user guide has a section on derived income variables but this looks at overall income rather than the derived variables making up these income variables. The f_paygu_dv variable is a key variable in my analysis and I would like to include a brief summary of how it was computed in my analysis such as the question that respondents were asked to establish their usual monthly gross pay (I assume this was from the f_paygl but need to be certain) and any other information used to compute the variable.</p>
<p>Regards,</p>
<p>Nhlanhla</p> Understanding Society User Support - Support #986 (Resolved): Missing Values: Inapplicables for f...https://iserredex.essex.ac.uk/support/issues/9862018-06-22T18:35:55ZNhlanhla Ndebele
<p>I am working with the Wave 6 Indresp file using Stata. I have limited the sample to respondents who have a paid job regardless of whether they are employees or self-employed as well as by an adult main cross-sectional weight greater than 0 using the following code:</p>
<p>keep if (f_jbhas 1 | f_jboff 1) & (f_jbsemp 1 | f_jbsemp 2) & f_indinub_xw > 0</p>
<p>From the tabulation of the variable f_jbrise (pay includes annual increments), 3,073 respondents were not eligible for this question and this can be assumed to be due to that they were self-employed and NOT employees as f_jbrise only applied to employees. However the frequency for the self-employed in the sample is 2,584 which leaves 489 respondents who were not eligible unidentified. This is confirmed by a cross-tabulation of f_jbrise and f_jbsemp (employed or self-employed in current job). I have tried to identify these 489 respondents by cross-tabulating possible variables that might include this group without much luck. However a cross-tabulation of f_jbstat (current economic activity) and f_jbsemp for these 489 gave some contradictory results:<br />1) 468 of the 489 respondents in paid employment were employees but were classified as not eligible for the f_jbrise question. Others (3 retired, 1 maternity leave, and 12 full-time students) were also employees. <br />2) There is an overlap of mutually exclusive categories (5 self-employed respondents are also employees).</p>
<p>Can you help me understand who these respondents are, why they were classified as not eligible for the f_jbrise question and how they should be treated in an analysis? I have attached a word document with some notes and some tables of the outputs.</p>