Click here for search results

Site Tools

Research Tools & Database



Outputs at completion are reported in the project completion report.  Most of the end-products of a rigorous academic process of the KCP research projects can be divided into two categories: publications such as working papers and journal articles, and research tools and/or databases.

KCP funds have helped lay a stronger foundation for research by enabling field surveys that generate critical knowledge and enhance the quality of research data.

  • The Global Findex Database (April 2012)
    How people in 148 economies--including the poor, women, and rural residents--save, borrow, make payments, and manage risk.
  • Data on Access to Financial Services (2007)
    The dataset includes composite measure of access to financial services; Use of loan and deposit services across economies; Branch and ATM penetration across economies among others.Citation: Finance for All? Policies and Pitfalls in Expanding Access, World Bank, November 13, 2007
  • The Living Standards Measurement Study (LSMS) and the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA)
    The Living Standards Measurement Study (LSMS) and the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) explore ways of improving the type and quality of household data collected by statistical offices in developing countries. The goal is to foster increased use of household data as a basis for policy decision making.
  • Investment Climate Surveys
    This tool enables policymakers to compare their status quo on property rights, infrastructure, and access to finance, taxation, regulation and labor characteristics with those in other countries. Contributions from KCP donors, among others, have supported development of a new data-driven website, Investment Climate Surveys Online, which allows easy analysis of the investment climate confronting entrepreneurs in over 50 countries, with more added on a regular basis.
  • Service Provider Surveys
    Past analysis of the supply side of service delivery has typically relied on data on government spending on social services. However, it is not enough to know what is being spent. KCP funds have helped to generate new micro-level data from pilot quantitative surveys of service providers, specifically to explore various aspects of their behavior. The survey tools are now being widely used by other countries and the approach has been included in the Bank’s recent Africa Action Plan.
  • Kagera Health and Development Survey
    Despite the widely-held view that the HIV/AIDS epidemic is a major threat to social and economic development in Sub-Saharan Africa, socioeconomic data and research which examine the dynamics of the impact of an AIDS death on survivors are scarce. KCP funds supported data collection through field re-surveys on the long-run effects of health shocks on households.
  • Public Expenditure Tracking Survey (PETS)
    The Public Expenditure Tracking Survey (PETS) is a quantitative survey of the supply side of public services. The PETS data trace the flow of resources from origin to destination and determine the location and scale of anomaly. They are distinct, but complimentary to qualitative surveys on the perception of users to service delivery. They highlight not only the use and abuse of public money, but also give insights into cost efficiency, decentralization and accountability.


This online poverty analysis tool allows you to replicate the calculations made by the World Bank's researchers in estimating the extent of absolute poverty in the world, including the $1 a day poverty measures.
This software platform for automated economic analysis simplifies the production of standardized poverty tables. It now takes 15 minutes to produce 30 standardized poverty tables and six graphs from household survey data (free and easily downloaded).
Software for Poverty Mapping
PovMap 2.0 provides computational solutions to all stages of poverty mapping activities. It uses a proprietary data engine to ensure the speedy processing of census data. Its functions include data processing, distributional comparison, regression analysis, univariate analysis, correlation analysis, cross tabulation and simulation. PovMap 2.1 is an experimental package for nutrition mapping. PovMap 1.1, or earlier, are for the simulation stage of poverty mapping.
MAMS (Maquette for MDG Simulations) – is a dynamic Computable General Equilibrium (CGE) model that has been extended to cover the generation of outcomes in terms of growth, MDGs, and the educational make-up of the labor force, as well as the interaction of these outcomes with other aspects of economic performance. For a one-page summary of the MAMS approach to MDG analysis, see p. 4 in the October 2012 issue of MDGs and Beyond, a newsletter issued by the Development Prospects Group.

Permanent URL for this page:

© 2016 The World Bank Group, All Rights Reserved. Legal