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Maloney, William Francis

Office of the Chief Economist Latin America and the Caribbean Region
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Innovation, Labor Economics, Trade, Productivity, Private Sector Development, Financial Sector, Spatial economics
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Office of the Chief Economist Latin America and the Caribbean Region
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Last updated April 4, 2023
Biography
William F. Maloney is Chief Economist for the Latin America and Caribbean (LAC) region. Mr. Maloney, a U.S. national, joined the Bank in 1998 as Senior Economist for the Latin America and Caribbean Region. He held various positions including Lead Economist in the Office of the Chief Economist for Latin America, Lead Economist in the Development Economics Research Group, Chief Economist for Trade and Competitiveness and Global Lead on Innovation and Productivity. He was most recently Chief Economist for Equitable Growth, Finance and Institutions (EFI) Vice Presidency. From 2011 to 2014 he was Visiting Professor at the University of the Andes and worked closely with the Colombian government on innovation and firm upgrading issues. Mr. Maloney received his PhD in Economics from the University of California Berkeley (1990), his BA from Harvard University (1981), and studied at the University of the Andes in Bogota, Colombia (1982-83). His research activities and publications have focused on issues related to international trade and finance, developing country labor markets, and innovation and growth, including several flagship publications about Latin America and the Caribbean.He has published in academic journals on issues related to international trade and finance, developing country labor markets, and innovation and growth as well as several flagship publications of the Latin American division of the Bank, including Informality: Exit and Exclusion;  Natural Resources: Neither Curse nor Destiny and Lessons from NAFTA, Does What you Export Matter: In Search of Empirical Guidance for Industrial Policy. Most recently, he published The innovation paradox: Developing Country Capabilities the Unrealized Potential of Technological Catch-Up and Harvesting Prosperity: Technology and Productivity Growth in Agriculture as part of the World Bank Productivity Project.  
Citations 199 Scopus

Publication Search Results

Now showing 1 - 4 of 4
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    Income Risk, Income Mobility and Welfare
    (World Bank, Washington, DC, 2012-10) Krebs, Tom ; Krishna, Pravin ; Maloney, William F.
    This paper develops a framework for the quantitative analysis of individual income dynamics, mobility and welfare. Individual income is assumed to follow a stochastic process with two (unobserved) components, component representing measurement error or transitory income shocks and an Autoregressive (AR(1)) component representing persistent changes in income. The analysis uses a tractable consumption-saving model with labor income risk and incomplete markets to relate income dynamics to consumption and welfare, and derive analytical expressions for income mobility and welfare as a function of the various parameters of the underlying income process. The empirical application of the framework using data on individual incomes from Mexico provides striking results. Much of measured income mobility is driven by measurement error or transitory income shocks and therefore (almost) welfare-neutral. A smaller part of measured income mobility is due to either welfare-reducing income risk or welfare-enhancing catching-up of low-income individuals with high-income individuals, both of which have economically significant effects on social welfare. Decomposing mobility into its fundamental components is thus seen to be crucial from the standpoint of welfare evaluation.
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    Income Mobility, Income Risk, and Welfare
    (Published by Oxford University Press on behalf of the World Bank, 2019-06) Krebs, Tom ; Krishna, Pravin ; Maloney, William F.
    This paper presents a framework for the quantitative analysis of individual income dynamics, mobility, and welfare, with ex ante identical individuals facing a stochastic income process and market incompleteness, implying that they are unable to insure against persistent shocks to income. We show how the parameters of the income process can be estimated using repeated cross-sectional data with a short panel dimension and use a simple consumption-saving model for quantitative analysis of mobility and welfare. Our empirical application, using data on individual incomes from Mexico, provides striking results. Most of the measured income mobility is driven by measurement error or transitory income shocks and is therefore (almost) welfare neutral. Only a small part of measured income mobility is due to either welfare-reducing income risk or welfare-enhancing catching-up of low-income individuals with high-income individuals, both of which, nevertheless, have economically significant effects on social welfare. Strikingly, roughly half of the mobility that cannot be attributed to measurement error or transitory income shocks is driven by welfare-reducing persistent income shocks. Decomposing mobility into its fundamental components is thus crucial from the standpoint of welfare evaluation.
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    Export Quality Dynamics
    ( 2011-06-01) Krishna, Pravin ; Maloney, William F.
    Country export quality (measured by unit values) is correlated with income level suggesting that studying quality dynamics potentially offers insights into the development process. This paper uses highly disaggregated trade data to explore the export quality (unit value) dynamics of goods exported to the United States over the 1990-2000 period. In addition to finding considerable heterogeneity in the relative quality of exports across countries and across goods within countries, the authors find that the rate of quality growth varies substantially across countries, as well. Specifically, the fastest growth is seen in exports from the richer (OECD) countries, implying an evolving divergence in product quality across regions. This divergence obtains despite evidence of conditional convergence in quality over time- goods with lower initial relative quality levels experience faster growth in quality. The data suggest that part of this divergence is driven by the product mix itself -- OECD exported products experience intrinsically higher growth rates. This is consistent with the argument of Hausmann, Hwang and Rodrik (2007) that what countries export does matter for growth. However, it is partly driven by a higher growth rate of quality in the richer countries independent of convergence effects, suggesting that other country-specific factors impeding overall convergence are at work. Finally, there is very limited technological "leap-frogging" by countries across product lines as the relative quality of new exports, on average, is roughly the same as incumbent exports, both in richer countries and elsewhere.
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    Trade Policy, Income Risk, and Welfare
    ( 2010) Krebs, Tom ; Krishna, Pravin ; Maloney, William
    This paper develops a framework to study empirically the relationship between trade policy and individual income risk and to evaluate the associated welfare consequences. The analysis proceeds in three steps. First, longitudinal data on workers are used to estimate time-varying individual income risk parameters in various manufacturing sectors. Second, the estimated income risk parameters and data on trade barriers are used to analyze the relationship between trade policy and income risk. Finally, a simple dynamic incomplete-market model is used to assess the corresponding welfare costs. In the implementation of this methodology using Mexican data, we find that trade policy changes have a significant short-run effect on income risk. Further, while the tariff level has an insignificant mean effect, it nevertheless changes the degree to which macroeconomic shocks affect income risk.