4.5. Weighting linked macro-micro data

Site navigation:

This section first explains why your choice of weights will depend on the kind of research question you're asking, and then explains how to calculate each of the two main types of weights used in comparative research. This topic is also discussed in Unit 3 of the Linking International Macro and Micro Data series.

top

nextprevious

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.