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Empirical development economics, economic reform, international migration, poverty, social policy and development.
Lant Pritchett is a senior fellow at the Center for Global Development and professor of the practice of international development at Harvard's Kennedy School of Government, where he taught from 2000 to 2004 and from 2007 onward. Before rejoining the Kennedy School in 2007, he was lead socio-economist in the social development group of the South Asia region of the World Bank. He occupied various other positions at the World Bank during his tenure there, beginning in 1988. Pritchett was a team member on a number of prominent World Bank publications including Economic Growth in the 1990s: Learning from a Decade of Reforms (2005); Making Services Work for Poor People (World Development Report 2004); Assessing Aid: What Works, What Doesn't and Why (with David Dollar, 1998); and Infrastructure for Development (World Development Report 1994). He has published two books with Center for Global Development, Let Their People Come (2006) and The Rebirth of Education (2013). Pritchett has published over a hundred articles and papers (with more than 25 co-authors) on a wide range of topics, including state capability, labor mobility, and education, among many others. Originally from Idaho, Pritchett is the father of three children and now lives in an empty nest with his wife of 31 years.
Motivated by our experience in designing a particular social program, skill set signaling for new entrants to the labor market in Peru, we articulate the need for, and explore the empirical consequences of, alternative learning approaches to the design of development projects. We suggest that project, program, and policy design must depend on more robust learning strategies than the attempt to directly apply results from ”systematic reviews” or move prematurely to an RCT.
Large international differences in the price of labor can be sustained by differences between workers, or by natural and policy barriers to worker mobility. We use migrant selection theory and evidence to place lower bounds on the ad valorem equivalent of labor mobility barriers to the United States. Natural and policy barriers may each create annual global losses of trillions of dollars.
The US economy needs low-skill workers now more than ever, and that requires a legal channel for the large-scale, employment-based entry of low-skill workers. The alternative is what the country has now: a giant black market in unauthorized labor that hinders job creation and harms border security. A legal time-bound labor-access program could benefit the American middle class and low-skill workers, improve US border security, and create opportunities for foreign workers.
For decades, migration economics has stressed the effects of migration restrictions on income distribution in the host country. Recently the literature has taken a new direction by estimating the costs of migration restrictions to global economic efficiency. In contrast, a new strand of research posits that migration restrictions could be not only desirably redistributive, but in fact globally efficient. This is the new economic case for migration restrictions: empirically, a case against the stringency of current restrictions.
In the last of a series of three blog posts looking at the implications of complexity theory for development, Owen Barder and Ben Ramalingam look at the implications of complexity for the trend towards results-based management in development cooperation. They argue that is a common mistake to see a contradiction between recognising complexity and focusing on results: on the contrary, complexity provides a powerful reason for pursuing the results agenda, but it has to be done in ways which reflect the context. In the 2012 Kapuscinski lecture Owen argued that economic and political systems can best be thought of as complex adaptive systems, and that development should be understood as an emergent property of those systems. As explained in detail in Ben’s forthcoming book, these interactive systems are made up of adaptive actors, whose actions are a self-organised search for fitness on a shifting landscape. Systems like this undergo change in dynamic, non-linear ways; characterised by explosive surprises and tipping points as well as periods of relative stability. If development arises from the interactions of a dynamic and unpredictable system, you might draw the conclusion that it makes no sense to try to assess or measure the results of particular development interventions. That would be the wrong conclusion to reach. While the complexity of development implies a different way of thinking about evaluation, accountability and results, it also means that the ‘results agenda’ is more important than ever.
“Dollar a day” poverty morphed from a technical curiosity that interests at most a few dozen technocrats to the first of the Millennium Development Goals. It is now one of only two corporate goals of the World Bank (in spite of its obvious inconsistency with the World Bank’s own Articles of Agreement). And , according to a recent (August 18, 2014) missive from Rajiv Shah, the head of USAID “political momentum” is “build[ing] to make the end of extreme poverty central to the post-2015 Development Agenda.”
The approach of 2015, the target date of the Millennium Development Goals, sets the stage for a global reengagement on the question of “what is development?” We argue that the post-2015 development framework for development should include Millennium Development Ideals which put into measurable form the high aspirations countries have for the well-being of their citizens.