Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382017-04-10T12:14:57ZUnderstanding Society User Support
Redmine Understanding Society User Support - Support #763 (Closed): question about b_mever and b_mvyrhttps://iserredex.essex.ac.uk/support/issues/7632017-04-10T12:14:57ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,<br />From my understanding, b_mvever and b_mvyr refer to new entrants only; however, some people who have data on these also have a valid value in wave 1. Can you explain why this is the case?<br />Many thanks in advance!<br />Carolina</p>
<pre><code>tab b_mvever a_mvever</code></pre>
<pre><code>lived at | lived at address<br /> address | whole life <br /> whole life | yes no | Total<br />-------------+----------------------+----------<br /> yes | 210 211 | 421 <br /> no | 89 2,389 | 2,478 <br />-------------+----------------------+----------<br /> Total | 299 2,600 | 2,899</code></pre> Understanding Society User Support - Support #762 (Closed): inconsistency between xwavedat and in...https://iserredex.essex.ac.uk/support/issues/7622017-04-08T16:13:16ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,</p>
<p>I am a bit puzzled with the parental information contained in the indresp file and in the xwavedat file.<br />The xwavedat variables are supposed to be based on indresp data, but I am not sure why I find the following inconsistencies. (Perhaps this is my mistake too)</p>
<p>Let me give an example, base don data I am using. I have added parental information in xwavedat to b_indresp.<br />I have the following variables:</p>
<p>. sum b_masoc90_cc b_masoc00_cc masoc00_cc masoc90_cc</p>
<pre><code>Variable | Obs Mean Std. Dev. Min Max<br />-------------+---------------------------------------------------------<br />b_masoc90_cc | 1,734 54.04268 25.38314 10 99<br />b_masoc00_cc | 1,734 551.8899 260.5772 111 925<br /> masoc00_cc | 19,497 580.8958 269.3696 111 925<br /> masoc90_cc | 23,434 57.34847 26.26591 10 99</code></pre>
<p>NOTE THAT I HAVE RECODED VALUES BELOW 0 TO MISSING.</p>
<p>I next do the following tests, with these results:</p>
<ul>
<li>tab masoc00_cc b_hhorig = this only has values for the UKHLS sample</li>
<li>tab masoc90_cc b_hhorig = this has values for both UK and BHPS sample, but BHPS NI is missing</li>
</ul>
<ul>
<li>tab b_masoc00_cc b_hhorig = this has values for both UKHLS and BHPS sample</li>
<li>tab b_masoc90_cc b_hhorig = this has values for both UKHLS and BHPS sample</li>
</ul>
<p>I would have expected that the variables from the xwavedat include more cases, and not less.</p>
<p>But there is even a more strange thing in this data:</p>
<p>tab b_masoc90_cc if masoc90_cc==.</p>
<p>I would have expected a "no observations" sign, assuming that masoc90_cc is based on the indresp files (as it is stated here: <a class="external" href="https://www.understandingsociety.ac.uk/documentation/mainstage/dataset-documentation/wave/xwave/datafile/xwavedat/variable/masoc00_cc);">https://www.understandingsociety.ac.uk/documentation/mainstage/dataset-documentation/wave/xwave/datafile/xwavedat/variable/masoc00_cc);</a> however, I get 1731 cases with a valid value. This means that there are only 3 cases that have a value in both indresp and xwavedat.</p>
<p>Can you explain why this is the case? It seems as if in order to get full parental data I need to merge the values in indresp with the values in xwavedat.</p>
<p>I then tested another variable, to double check this: b_racel and racel_dv</p>
<p>. sum b_racel racel_dv</p>
<pre><code>Variable | Obs Mean Std. Dev. Min Max<br />-------------+---------------------------------------------------------<br /> b_racel | 3,892 4.763361 11.60202 1 97<br /> racel_dv | 52,065 3.03609 7.31321 1 97</code></pre>
. tab b_racel if racel_dv==.<br />no observations
<ul>
<li>This is what I expected.</li>
</ul>
<p>I would be very grateful if you could clarify what is included in the xwavedat file in terms of parental information, or if there is a document where I could find more information.</p>
<p>Many thanks in advance!!!<br />And please let me know if you need further clarification; or if I am doing the wrong tests :)</p>
<p>Carolina</p> Understanding Society User Support - Support #630 (Closed): weight with fixed-effectshttps://iserredex.essex.ac.uk/support/issues/6302016-09-20T15:29:38ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,</p>
<p>I want to study the relationship between subjective well-being and labour market situation.<br />I want to use fixed effects for this purpose.</p>
<p>I have set-up the data and I am working with the 5 waves. If I want to use the longitudinal weights proposed in the User Manual - I should use e_indscus_lw given that I am working with the adult self-response - then that means I will be working with a balanced panel right? I.e. people who participated in the 5 waves. As stated in the User Manual, I have assigned the weight in e_ to individuals in the first four waves.</p>
<p>What I wanted to know, given that xtset/xtreg do not work with svy, is whether this syntax is correct (although I am missing the complex design):</p>
<p>xtreg sclfsato i.status2 [pweight=my_lw], fe</p>
<p>Where my_lw is the e_ weight assigned to individuals who have cases in all waves (and 0 is assigned to individuals who have participated in less waves) - as stated in the User Manual.</p>
<p>Another question: If I wanted to include in the analysis individuals who have participated in less waves (at least 2), weighting gets more complicated right? I was just wondering if you thought of giving a course on advanced weighting in the UKHLS (just an idea!).</p>
<p>Many thanks in advance,</p>
<p>Carolina</p> Understanding Society User Support - Support #498 (Closed): weight youth self-completion + adult https://iserredex.essex.ac.uk/support/issues/4982016-02-04T10:02:59ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,<br />I would like to follow individuals (14-15 yrs) who completed the self-completion youth questionnaire into the adult questionnaire (16+). I am interested in the questions on parental involvement and how this affects their adult outcomes.<br />How should I weight this?<br />Let's say that I consider 14-15 yrs individuals in wave 1 and I follow them in wave 2 (and/or 3).<br />Many thanks,<br />Carolina</p> Understanding Society User Support - Support #491 (Closed): parental educationhttps://iserredex.essex.ac.uk/support/issues/4912016-01-25T12:04:44ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,</p>
<p>I am working with Wave 1, and I wanted to know why the number of missing cases is so high for the mother & father educational variables (I have merged maedqf and faedqf variables from xwavedat.dta to the a_indresp file).</p>
<p>I know the data was collected in Waves 1 and 2, and from what I understood, all individuals in Wave 1 should have parental education information. But this seems not to be the case. Actually, the number, for example, of cases with a parental employment status when the individuals was 14 is much higher.</p>
<p>What does the missing refer to? Is it the case that the question was not asked? If so, do you think there may be any consequences in terms of self-selection if I use parental education in a model? Are individuals with a parental education different from those who don't have one?</p>
<p>Many thanks in advance!</p>
<p>Carolina</p> Understanding Society User Support - Support #456 (Closed): comparing across waveshttps://iserredex.essex.ac.uk/support/issues/4562015-11-27T16:55:32ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,<br />I wanted to know if it is possible to compare the effect of a variable in wave 1 with its effect in wave 5.<br />For example, has education a stronger effect in the probabilities of employment in 2009/2010 than in 2013/14?<br />At the naked eye, there seems to be a difference in the effect across waves. However, do you know if there might be a way to actually test this?<br />I would need to pool waves I assume. In that case, how should I weight the cases?<br />Many thanks in advance.<br />Carolina</p> Understanding Society User Support - Support #369 (Closed): missing paju majuhttps://iserredex.essex.ac.uk/support/issues/3692015-04-30T11:22:55ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,<br />From what I understood in one of the replies you gave, paju (and maju) were asked only in Wave 1. But then, what are b_paju c_paju and d_paju? From the question/universe it seems as if it was asked in all waves to all respondents:</p>
<p>Universe<br /> if (ff_ivlolw = 2|3|MIS) & ff_everint <> 1 //proxy last wave, non-interviewed adult or new entrant never interviewed, excluding rising 16 year olds</p>
<p>However, the number of missing for Waves 2, 3 and 4 is much higher (some new entrants are actually responding to the question, while others aren't). Why is this the case?</p>
<p>Looking forward to your response.<br />Thanks in advance.<br />Best regards,<br />Carolina</p> Understanding Society User Support - Support #351 (Closed): longitudinal vs. cross-sectional weig...https://iserredex.essex.ac.uk/support/issues/3512015-03-19T11:32:19ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,</p>
<p>I have been doing analysis on the impact of parental employment (measured with the retrospective question) on individuals' labour market outcomes. So far, I have used Wave 3 only, and I have used the other waves to replace missing data in Wave 3, such as age, gender, ethnicity, parental information, etc. I have been using therefore a cross-sectional weight:</p>
<p>svyset c_psu [pweight = c_indinub_xw], strata (c_strata) singleunit(centered)</p>
<p>With this weight I have done all my descriptive tables and my regression models so far. Now, I would like to add to my regression models a variable that measures employment status of the individual in Wave 2, since I am planning to start looking at transitions into and out of employment. Also, I would like to make crosstabs with this variable as well. This means, I believe, that I need to start using longitudinal weights. But how do I do that?</p>
<p>1) Descriptive tables: Should all my tables use the longitudinal weight? Or should I use it only when I am studying, for example, employment status in two different waves? (i.e if I make a table that relates employment in Wave 3 with parental background, should this table also have a longitudinal weight, even if I am not studying transitions?)</p>
<p>2) Regression tables: Imagine that I make two regression models, where I estimate the probability of employment by age, gender and parental background; and a second one where I also add employment in t-1 as control variable. In the first model there are no changes over time, while in the second there are. Should I still use the longitudinal weight for both?</p>
<p>Of course, changing the svyset all the time does not seem like the logic solution here, so I assume I will just stick to one. I just want to understand the implications of using one or another weight.</p>
<p>Thanks in advance for your help!<br />Regards,</p>
<p>Carolina</p> Understanding Society User Support - Support #318 (Closed): missing standard erroros Wave 3https://iserredex.essex.ac.uk/support/issues/3182014-10-28T15:34:50ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,</p>
<p>Some time ago I asked you about weights: <a class="external" href="https://www.understandingsociety.ac.uk/support/issues/106">https://www.understandingsociety.ac.uk/support/issues/106</a><br />Using the "subpop" with the variables' filters solved the issue of getting the standard errors for Wale 1; however, I cannot make it work in Wave 3.<br />I am running a cross-sectional analysis using this syntax:</p>
<p>svyset c_psu [pweight = c_indinub_xw], strata(c_strata)<br />svy, subpop(if male<2 & c_emp<2): logit c_emp male</p>
<p>where male and emp are 0-1 variables</p>
<p>Even if - as you can see - I restrict the variables to have valid values in all cases, I still don't get standard errors of this regression... <br />Any clues why subpop does not seem to work in Wave 3?<br />Am I doing something wrong?</p>
<p>Thanks!!<br />Carolina</p> Understanding Society User Support - Support #144 (Closed): LSOA filehttps://iserredex.essex.ac.uk/support/issues/1442013-05-06T16:32:10ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,<br />I have accessed the geo-coded information at the LSOA level.<br />Why are there so many more cases in the a_lsoa_protect.dta file as compared to the a_indresp.dta file? (I was actually expecting to find less cases, that is, one LSOA code for each household...)<br />I am probably missing information, can you help me?<br />Thanks,<br />Carolina</p> Understanding Society User Support - Support #128 (Closed): working with England & Waleshttps://iserredex.essex.ac.uk/support/issues/1282013-03-05T11:38:21ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello, <br />I want to work with England and Wales only. Do I need to do any adjustments to the weights? <br />Or just drop the cases that do not belong to these countries?<br />Thanks,<br />Carolina</p> Understanding Society User Support - Support #114 (Closed): definition of school codeshttps://iserredex.essex.ac.uk/support/issues/1142013-01-24T16:53:07ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,<br />I have asked for the data on "school codes" (under special license) and I wanted to know exactly which codes are provided. <br />Can you suggest a website where school codes are defined or where I can learn how to link these codes to other information, like the location of the school? <br />Thank you in advance.<br />Kind regards,<br />Carolina</p> Understanding Society User Support - Support #109 (Closed): ethnicityhttps://iserredex.essex.ac.uk/support/issues/1092013-01-09T09:54:11ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>1) Just to confirm: ethnic parental background was not asked in Wave2, right?<br />- b_paid<br />- b_maid</p>
<p>2) Should b_emboost be included in Wave2?</p>
<p>Thank you again for your help!</p> Understanding Society User Support - Support #106 (Closed): weightshttps://iserredex.essex.ac.uk/support/issues/1062013-01-08T15:41:00ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>In the UKHLS course in Essex, we were told that in order to account for the complex survey design, we needed to use this formula:<br />svyset psuvar [pweight = weightvar], strata (tratavar)<br />However, the variables "psu" and "strata" are not in the currently released version of the data. Will these be available in the new release? And for both waves? <br />How should we use the above formula when the Waves are used together?<br />Thank you for your help!<br />Carolina</p> Understanding Society User Support - Support #104 (Closed): occupation codeshttps://iserredex.essex.ac.uk/support/issues/1042013-01-03T10:34:21ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>I have a few questions related to the occupational coding. I want to study social mobility for which I need parents and respondent's occupations. I want to translate everything into either ISCO-88 or ISCO-08 codes. In the "www.ons.gov.uk" web page, only the conversion into ISCO-08 (from SOC 2010) is available... My questions are:</p>
<p>- I participated in the UKHLS train and there I got a database in which the ISCO-88 is coded for respondents. Is this based on the SOC 2000? Could I get the translation/syntax you have used for this? This way I could do the same for the parents.<br />- SOC 2010 is available for parents but not for respondents, why is this the case? Will SOC 2010 be available for respondents?</p>
<p>Thank you!</p>