4.7. Analysing linked macro and micro data

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This unit discusses techniques for analysing your linked micro and macro data, starting with exploratory data analysis and moving on to regression analysis with both macro and micro variables, and cross-level interactions.

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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.