You are in: Home › Statistics › Publications and Data › Occasional papers › Modelling Census Under-Enumeration › 4. Results › The Remaining Census Variables ›

Occasional Papers

Modelling Census Under-Enumeration - A Logistic Regression Perspective

Results - The Remaining Census Variables

Table 4.3.1 (13 Kb PDF file) shows Other Census Variables.

In Model 4 (19 Kb PDF file), the coefficients of sin_par_f and Group_0 go in the opposite direction to the other variables. The correlation plots give no clue why this should be the case, so an investigation into the assumption of linearity might give an explanation.

The inclusion of NS_SeC_3 as a predictor of under-enumeration is surprising at first. However on close inspection there are a number of possible explanations. Throughout this analysis, it has become obvious that transience has a strong bearing on under-enumeration. NS_SeC_3 is the socio-economic classification that caters for the working population in intermediate occupations. This group includes clerical, sales and administrative staff – in particular, call-centre workers. With the increasing competitiveness of graduate schemes, many students on graduation take temporary work until they find suitable professional jobs. On closer inspection, the majority of these intermediate workers are in the university cities. There may however be two effects in existence because university cities also serve as financial centres and would therefore attract sales and administrative jobs (also classified as “intermediate”). A second explanation of this could be the Holiday-Maker Visa Scheme. This scheme allows foreign nationals to work in the UK for up to two years, although most stay for an average of six months. Most people on these schemes find jobs in the “intermediate” sector - this reinforces the link between migration and under-enumeration.

The NS_SeC_3 “intermediate” variable in effect picks up areas where there is a large mobile young population. Mobility increases the probability of non-contact by Census enumerators – though sending out the Census form by post may reduce this possibility. NS_SeC_3, therefore, is an important variable in its own right because, even with ‘single’ in the model, it remains significant.

Note:The file(s) listed above can be viewed in Adobe Portable Document Format (pdf)  Download the latest version of Adobe Acrobat Reader free.