Go, Delfin Sia

Development Prospects Group, World Bank
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Development and Growth Economics; Africa Development; Economic Modeling and Tools for Fiscal Analysis; Aid Effectiveness and Management
Development Prospects Group, World Bank
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Last updated July 11, 2023
Delfin Go is Lead Economist in the Development Prospects Group and oversees the economic modeling and information team, which produces forward-looking and long-term scenarios that underpin special reports such as the Global Monitoring Report and the Global Development Horizons.  Delfin was the lead author and task manager of the Global Monitoring Report 2011: Improving the Odds of Achieving the MDGs and the Global Monitoring Report 2010: The Millennium Development Goals After the Crisis. He was formerly Lead Economist in the office of the World Bank’s Africa Region Chief Economist, where he focused on macroeconomic issues, aid effectiveness and management, and conducted Country Policy and Institutional Assessments (CPIA) of African countries. He has also undertaken analytical work on debt issues, tools for fiscal analysis, and macro-micro linkages for probing the distributional consequences and the impact on growth, poverty, and other MDGs of alternative macroeconomic frameworks, external shocks, aid flows, as well as the composition of public expenditure. Previously, he served as the World Bank’s Country Economist and PREM Cluster Leader of Southern Africa (South Africa, Botswana, Lesotho and Namibia) and Zambia. Go first joined the World Bank as a Research Economist at the Development Research Group. Go holds a Ph.D. in Political Economy and Government from Harvard University.  
Citations 11 Scopus

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    Estimating Parameters and Structural Change in CGE Models Using a Bayesian Cross-Entropy Estimation Approach
    (World Bank Group, Washington, DC, 2015-01) Go, Delfin S. ; Lofgren, Hans ; Mendez Ramos, Fabian ; Robinson, Sherman
    This paper uses a three-step Bayesian cross-entropy estimation approach in an environment of noisy and scarce data to estimate behavioral parameters for a computable general equilibrium model. The estimation also measures how labor-augmenting productivity and other structural parameters in the model may have shifted over time to contribute to the generation of historically observed changes in the economic arrangement. In this approach, the parameters in a computable general equilibrium model are treated as fixed but unobserved, represented as prior mean values with prior error mass functions. Estimation of the parameters involves using an information-theoretic Bayesian approach to exploit additional information in the form of new data from a series of social accounting matrices, which are assumed were measured with error. The estimation procedure is "efficient" in the sense that it uses all available information and makes no assumptions about unavailable information. As illustration, the methodology is applied to estimate the parameters of a computable general equilibrium model using alternative data sets for the Republic of Korea and Sub-Saharan Africa.
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    Global Inequality in a More Educated World
    (World Bank, Washington, DC, 2017-06) Ahmed, Syud Amer ; Bussolo, Maurizio ; Cruz, Marcio ; Go, Delfin S. ; Osorio-Rodarte, Israel
    In developing countries, younger and better-educated cohorts are entering the workforce. This developing world-led education wave is altering the skill composition of the global labor supply, and impacting income distribution, at the national and global levels. This paper analyzes how this education wave reshapes global inequality over the long run using a general-equilibrium macro-micro simulation framework that covers harmonized household surveys representing almost 90 percent of the world population. The findings under alternative assumptions suggest that global income inequality will likely decrease by 2030. This increasing educated labor force will contribute to the closing of the gap in average incomes between developing and high income countries. The forthcoming education wave would also minimize, mainly for developing countries, potential further increases of within-country inequality.