Empirical Analysis Using Micro-Level Datasets
Formal empirical analysis of the social impact of an economic event, be it a crisis or a policy adjustment, is typically underpinned by ex-post investigations, which use representative household survey data. These types of studies are often able to account for exacerbating conditions (e.g. existing poverty and domestic factors) and mitigating factors (e.g. social protection interventions), which then provide a clear sense of the net impact of the economic event being analysed on various population groups, including children, women and poor families.
The main challenge with using this approach, however, lies in the significant time lag (anywhere from 1 to 2 years) resulting from the delayed availability of survey data that reflect the impact of an economic event or policy change.
This section features key recent studies that use this analytical approach:
- Intended and Unintended Consequences of Social Protection on School Dropout in Post-Crisis Indonesia (2010)
- Millet Prices, Public Policy, and Child Malnutrition: The Case of Niger in 2005 (2008)
- Cambodia Anthropometrics Survey (2008)