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Modeling to Monitor the MDGs

 

Modeling to monitor the MDGs  (tools for policymakers; the Development Data Platform)

 

Modeling to monitor the MDGs

The new modeling methodologies being mobilized by the Bank to help understand the challenges of achieving the MDGs at the country as well as global level use powerful new software, including programs to deliver computable general equilibrium (CGE) models. These are used to analyze macroeconomic data, along with micro data gathered in detailed household surveys.

Policymakers using these tools can analyze various policy scenarios, while also comparing the outcomes of actual policies and programs, with the counterfactuals.  These computerized models can explain not only what happened as a result of a given policy, program or project, but what would have happened had it not been implemented. 

Such modeling exercises aim to overcome the difficulties encountered in establishing linkages between non-income aspects of the MDGs, such as, for example, the links between public health service provision and child mortality. In its initial phase, the effort will focus on one or two pilot countries, so as to develop a standardized and easily adapted methodology for wider use.

The Bank’s Development Data Platform (DDP) is a web-based data tool that provides access to statistics from more than 75 key databases. Users can also access record-level data and documentation from over three thousand household surveys. The DDP Microdata incorporates both innovative IT design and development and a substantial effort to locate and format household survey data.  More information on this tool is available online through the International Household Survey Network.

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