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Spells of employment

Added by Gwyther Rees over 8 years ago. Updated about 20 hours ago.

Status:
Resolved
Priority:
Normal
Category:
Derived variables
Start date:
08/04/2017
% Done:

100%


Description

I am using Understanding Society data to do some analysis of patterns of worklessness within families. I have a query that I would be really grateful if you could help with. I have searched previous similar queries but haven't been able to find the answer.

I have come across some data patterns in the variable named f_nmpsp_dv in the f_indresp file that I don't understand and was wondering if you could clarify.

The help information on the study website states that this variable gives the 'Number of employment spells since last interview. Counts the number of times respondent’s employment status was “in paid employment”'. It provides variables that it is based on: F_NEXTSTAT1 F_NEXTSTAT2 F_NEXTSTAT3 F_NEXTSTAT4 F_NEXTSTAT5 F_NEXTSTAT6 F_NEXTSTAT7 F_NEXTSTAT8 F_EMPCHK F_FF_JBSTAT F_FF_EMPLW F_JBSTAT F_EMPL F_FF_IVLOLW F_IVFIO.

However I have found cases in the data set where I can't see how the value for this derived variable is reached. For example the case with pidp 139883485 is listed in variable f_nmpsp_dv as having one employment spell since the last interview, but also the following

Current employment status (f_jbstat): family care or home
Currently in paid employment (f_employ): no
Respondent employment status at previous interview: unemployed
Whether in paid employment at previous interview: not in paid employment
Previous wave employed status check: inapplicable
Spells of employment (f_nextstat1 to f_nextstat7): all inapplicable

The only thing I can see from this is that there has been a change of employment status from 'unemployed' at the previous interview to 'family care or home' at the current interview. But there doesn't appear to have been any paid employment at either interview or in between so I'm not clear how the number of employment spells can be equal to one. There seem to be quite a few similar cases.

Many thanks,

Gwyther Rees

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