4.4. Linking macro and micro data

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4.4.1. Preparing the data sets

In order to link a data set with macro data to one with micro data, both data sets must have a variable which is a macro unit identifier. This identifier must be coded in exactly the same way in both data sets and have the same variable name, say macrounit. Some statistical programmes, such as Stata, require that both data sets are sorted by the macro-unit.

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4.1 Introduction
4.2 Learning objectives
4.3 Identifying whether it will help to link macro data to micro data
- 4.3.1 Research questions that required linked macro and micro data
- 4.3.2 Identifying whether there is variation between macro units in the distribution of a micro variable
  - 4.3.2.1 Indentifying whether there is a variation between macro units in the distribution of a micro variable
  - 4.3.2.2 Identifying whether there is variation between macro units in the pattern of association between micro variables
4.4 Linking macro and micro data
4.5 Weighted linked macro-micro data
4.6 Assessing the quality of survey data
- 4.6.1 Interpreting differences
- 4.6.2 Strategy for dealing with survey error
  - 4.6.2.1 Adjusting weights to account for survey error on one variable
  - 4.6.2.2 Adjusting weights to account for survey error on one variable separately for each unit
4.7. Analysing linked macro and micro data
4.8. Summary
4.9. References/further Reading

The University of Manchester; Mimas; ESRC; RDI

Countries and Citizens: Unit 4 Combining macro and micro data by Steve Fisher, University of Oxford is licensed under a Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales Licence.