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Maloney, William

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: October 9, 2024
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.  
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2010 - 201925
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Start date: 2010 × End date: 2019 × Supported Language: en ×

Publication Search Results

Now showing 1 - 10 of 25
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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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    Informal Self-Employment and Macroeconomic Fluctuations
    (2010) Fiess, Norbert M.; Fugazza, Marco; Maloney, William F.
    Informal self-employment is a major source of employment in developing countries. Its cyclical behavior is important to our understanding of the functioning of LDC labor markets, but turns out to be surprisingly complex. We develop a flexible model with two sectors: a formal salaried (tradable) sector that may be affected by wage rigidities, and an informal (non tradable) self-employment sector faced with liquidity constraints to entry. This labor market is then embedded in a standard small economy macro model. We show that different types of shocks interact with different institutional contexts to produce distinct patterns of comovement between key variables of the model: relative salaried/self-employed incomes, relative salaried/self-employed sector sizes and the real exchange rate. Model predictions are then tested empirically for Argentina, Brazil, Colombia, and Mexico. We confirm episodes where the expansion of informal self-employment is consistent with the traditional segmentation views of informality. However, we also identify episodes where informal self-employment behaves "pro-cyclically"; here, informality is driven by relative demand or productivity shocks to the non tradable sector.
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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.
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    Heterogeneity in Subjective Wellbeing : An Application to Occupational Allocation in Africa
    (Elsevier, 2015-01-03) Falco, Paolo; Maloney, William F.; Rijkers, Bob; Sarrias, Mauricio
    By exploiting recent advances in mixed (stochastic parameter) ordered probit estimators and a unique longitudinal dataset from Ghana, this paper examines the distribution of subjective wellbeing across sectors of employment. We find little evidence for the overall inferiority of the small firm informal sector relative to the formal salaried sector at the conditional mean. Moreover, the estimated underlying random parameter distributions unveil substantial latent heterogeneity in subjective wellbeing around the central tendency that fixed parameter models cannot detect. All job categories contain substantial shares of both relatively happy and disgruntled workers.
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    Comparative Analysis of Labor Market Dynamics Using Markov Processes : An Application to Informality
    (2010) Bosch, Mariano; Maloney, William F.
    This paper discusses a set of statistics for examining labor market dynamics in developing countries and offers a simple search model that informs their interpretation. It then employs panel data from Argentina, Brazil and Mexico to generate a set of preliminary stylized facts about patterns of sectoral transition and duration. Finally, it nests two competing views of the informal sector within the model and uses variation in the statistics across age and the business cycle to help discriminate between them. The results suggest that a substantial part of the informal sector, particularly the self-employed, corresponds to voluntary entry, although informal salaried work may correspond more closely to the standard queuing view, especially for younger workers.
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    Does Formality Improve Micro-firm Performance? Evidence from the Brazilian SIMPLES Program
    (2011) Fajnzylber, Pablo; Maloney, William F.; Montes-Rojas, Gabriel V.
    This paper exploits an extensive Brazilian micro-enterprise survey and the 1996 introduction of a business tax reduction and simplification scheme (SIMPLES) to examine three questions. First, do high tax rates and complex tax regulations really constitute a barrier to the formalization of micro-firms? Second, does formalization improve firm performance measured along several dimensions, including revenues, employment and capital stock? Third, what are the channels through which this occurs? We find that SIMPLES led to a significant increase in formality in several dimensions. Moreover, newly created firms that opt for operating formally show higher levels of revenue and profits, employ more workers and are more capital intensive (only for those firms that have employees). The channel through which this occurs is not access to credit or contracts with larger firms. Rather, it appears that the lower cost of contracting labor leads to adopting production techniques that involve a permanent location and a larger paid labor force.
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    Industrial Policy, Information, and Government Capacity
    (Published by Oxford University Press on behalf of the World Bank, 2018-08) Maloney, William F.; Nayyar, Gaurav
    Governments are resource- and bandwidth-constrained, and hence need to prioritize productivity-enhancing policies. To do so requires information on the nature and magnitude of market failures on the one hand, and government's capacity to redress them successfully on the other. This article reviews perspectives on vertical (sectoral) and horizontal (factor markets, cluster) policies with a view to both criteria. We first argue that the case for either vertical or horizontal policies cannot be made on the basis of the likelihood of successful implementation: for instance, educational policies and “picking the winner” types of policies both run the risks of capture and incompetent execution. However, the economics profession has been able to establish more convincing market failures for horizontal policies than for vertical policies. Most of the recent approaches to identifying failures around particular goods are of limited help. Hence, for a given difficulty of execution, the former are generally preferred. A second critical message is that improving the quality of governance in terms of collecting information, coordination ability, and defending against capture is critical to the successful implementation of productivity policies and should be central on the policy agenda.
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    Productivity Revisited: Shifting Paradigms in Analysis and Policy
    (Washington, DC: World Bank, 2018-10-25) Cusolito, Ana Paula; Maloney, William F.
    The stagnation of productivity in the developing world, and indeed, across the globe, over the last two decades dictates a rethinking of productivity measurement, analysis, and policy. This volume presents a 'second wave' of thinking in three key areas of productivity analysis and its implications for productivity policies. It calls into question the measurement and relevance of distortions as the primary barrier to productivity growth; urges a broader concept of firm performance that goes beyond efficiency to quality upgrading and demand expansion; and explores what it takes to generate an experimental and innovative society where entrepreneurs have the personal characteristics to identify new technologies and manage risk within an entrepreneurial ecosystem that facilitates them doing so. It also reviews arguments surrounding industrial policies. The authors argue for an integrated approach to productivity analysis that incorporates both the need to reduce economic distortions and generate the human capital capable of identifying the opportunities offered to follower countries and upgrade firm capabilities. Finally, it offers guidance on prioritizing policies when there is uncertainty around diagnostics and limited government capability.
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    Engineers, Innovative Capacity and Development in the Americas
    (World Bank, Washington, DC, 2014-03) Valencia Caicedo, Felipe; Maloney, William F.
    Using newly collected national and sub-national data, and historical case studies, this paper argues that differences in innovative capacity, captured by the density of engineers at the dawn of the Second Industrial Revolution, are important to explaining present income differences, and, in particular, the poor performance of Latin America relative to North America. This remains the case after controlling for literacy, other higher order human capital, such as lawyers, as well as demand side elements that might be confounded with engineering. The analysis then finds that agglomeration, certain geographical fundamentals, and extractive institutions such as slavery affect innovative capacity. However, a large effect associated with being a Spanish colony remains suggesting important inherited factors.
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    Why Don't Poor Countries Do R&D?
    (World Bank, Washington, DC, 2014-03) Goñi, Edwin; Maloney, William F.
    Using a global panel on research and development (R&D) expenditures, this paper documents that on average poor countries do far less R&D than rich as a share of GDP. This is arguably counter intuitive since the gains from doing the R&D required for technological catch up are thought to be very high and Griffith et al (2004) have documented that in the OECD returns increase dramatically with distance from the frontier. Exploiting recent advances in instrumental variables in a varying coefficient context we find that the rates of return follow an inverted U: they rise with distance to the frontier and then fall thereafter, potentially turning negative for the poorest countries. The findings are consistent with the importance of factors complementary to R&D, such as education, the quality of scientific infrastructure and the overall functioning of the national innovation system, and the quality of the private sector, which become increasingly weak with distance from the frontier and the absence of which can offset the catch up effect. China's and India's explosive growth in R&D investment trajectories in spite of expected low returns may be justified by their importing the complementary factors in the form of multinational corporations who do most of the patentable research.