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Multilevel modelling allows us to combine variables from survey data with aggregate data from another source. Hence in the current example we could extend, for example, Model 3 to include aggregate (country level) information from another source. We illustrate this in Section 5 when we combine ESS survey data by adding % long term unemployment as an additional explanatory variable. This information is from the aggregate Eurostat New Cronos data. As this is country level information based on a census of all economically active people (i.e. it is a census not a survey) we denote it as uppercase . Note that there is only a j (country level) subscript. There is no i subscript for this variable as all people in country i have the same value of long term unemployment. The substantive reason for adding long term unemployment here is that this may explain some of the country level variations in voting. Perhaps people living in countries with higher long term unemployment are more likely to vote. We will investigate this later.

The University of Manchester; Mimas; ESRC; RDI

Countries and Citizens: Unit 5 Multilevel modelling using macro and micro data by Mark Tranmer, Cathie Marsh Centre for Census and Survey Research is licensed under a Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales Licence.