Second-Stage Sampling for Conflict Areas : Methods and Implications
The collection of survey data from war zones or other unstable security situations is vulnerable to error because conflict often limits the implementation options. Although there are elevated risks throughout the process, this paper focuses specifi...
| Main Authors: | , , , |
|---|---|
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2016
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2016/03/26144105/second-stage-sampling-conflict-areas-methods-implications http://hdl.handle.net/10986/24158 |
| Summary: | The collection of survey data from war
zones or other unstable security situations is vulnerable to
error because conflict often limits the implementation
options. Although there are elevated risks throughout the
process, this paper focuses specifically on challenges to
frame construction and sample selection. The paper uses
simulations based on data from the Mogadishu High Frequency
Survey Pilot to examine the implications of the choice of
second-stage selection methodology on bias and variance.
Among the other findings, the simulations show the bias
introduced by a random walk design leads to the
underestimation of the poverty headcount by more than 10
percent. The paper also discusses the experience of the
authors in the time required and technical complexity of the
associated back-office preparation work and weight
calculations for each method. Finally, as the simulations
assume perfect implementation of the design, the paper also
discusses practicality, including the ease of implementation
and options for remote verification, and outlines areas for
future research and pilot testing. |
|---|