Peter Lanjouw, a Dutch national, and the former Research Manager of the Poverty and Inequality Group in the Development Economics Research Group of the World Bank. He first joined the Bank in 1992 after completing his Ph.D. in economics from the London School of Economics.
During his 20-plus years at the Bank, Lanjouw has pursued research in several geographic regions of the world, including Africa, South Asia, Latin America, East Asia, Europe and Central Asia, and the Middle East. He has also been closely involved with three World Development Reports.
Lanjouw’s research focuses on poverty measurement methods and rural-urban economic transformation.
A longstanding area of his work has explored so-called small-area estimation methodologies, which allow economists to develop poverty maps in developing countries by combining household survey data with population census data.
Another important research interest for Lanjouw has been to understand what role the rural non-farm sector plays in a developing country as it transforms from a primarily agricultural economy to a diversified and urbanized economy, and how this shapes poverty and inequality.
During his tenure at the Bank, Lanjouw has pursued several professional development opportunities outside his organization – including a year of absence to conduct research in India and Nepal, and a two-year absence to teach at the Vrije University of Amsterdam.
He has also taught at the University of California-Berkeley, the University of Namur, Belgium; and at the Foundation for the Advanced Study of International Development in Tokyo, Japan.
Lanjouw is a past editorial board member of the World Bank Economic Review and of the Journal of African Economies. He is also an Honorary Fellow of the Amsterdam Institute of International Development.
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.
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