Statistical and econometric analysis
OPM undertakes and supports the analysis of administrative, survey and other quantitative data. It draws on the experience of staff members, associates and consultants to provide appropriate statistical and econometric analysis for clients’ needs. The main areas of work include:
- Strengthening key national indicator series, including demographic, health, education and other social sector indicators, and Poverty and Social Protection, agricultural statistics and GDP; and strengthening associated metadata.
- Assessing data sources, data quality and the consistency of different sources, and the application of imputation and other techniques to adjust for non-sampling errors.
- The evaluation of policy and programme impact through a variety of techniques, including intervention-control designs, modelling, and the use of panel surveys and retrospective data.
- Estimating programme coverage, leakage, and the incidence benefits across different groups.
- Modelling the determinants of key outcome measures such as school enrolment, achievement tests and immunisation status. This modelling often makes use of hierarchical data with information at the level of the individual, household, and facility and/or community. It may be used to estimate the impact of programmes, controlling for other determinants of the outcome. Modelling has also been used to identify predictors of household consumption using other characteristics in order to estimate consumption in the absence of this data.