Person:
Grosh, Margaret

Social Protection and Jobs Global Practice
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Fields of Specialization
Social safety nets, Poverty analysis, Labor markets, Social protection
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Social Protection and Jobs Global Practice
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Last updated January 31, 2023
Biography
Margaret Grosh is the Senior Advisor for the World Bank’s Social Protection and Jobs Global Practice. She has written, lectured, and advised extensively on social protection programs, especially on targeting and cash transfer programs, globally and for Latin America. She has extensive experience with social protection both for responding to a crisis and for improving equality of opportunity. Earlier, she served as Lead Economist in the Latin American and Caribbean Region’s Human Development Department, led the team for Social Assistance in the World Bank’s Global Social Protection Department and, before that, the Living Standard Measurement Study in the Research Department. She holds a Ph.D. in economics from Cornell University.

Publication Search Results

Now showing 1 - 3 of 3
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    Income Support for the Poorest : A Review of Experience in Eastern Europe and Central Asia
    (Washington, DC: World Bank, 2014-06-26) Tesliuc, Emil ; Pop, Lucian ; Grosh, Margaret ; Yemtsov, Ruslan
    Most countries in the world aspire to protect poorest and most vulnerable families from destitution and thus provide some type of income support to those who are very poor. These programs are often layered into social policy along with other transfers, subsidies, or services. The way to best provide such last-resort income support (LRIS) and its role in wider social policy is a matter of some complexity, much experimentation, and much study. In Eastern Europe and Central Asia, 28 of 30 countries operate LRIS programs. This study examines the experience of LRIS programs in Eastern Europe and Central Asia. It documents the outcomes of such programs throughout the region in terms of expenditure, coverage, targeting, and simulated effects on poverty and inequality. For a subset of countries, the study documents and draws lessons from the design and implementation arrangements - institutional frameworks and administrative structures, eligibility determination, benefits and conditions, governance mechanisms, and administrative costs on the basis of information gleaned during in-depth country engagements that have extended a decade or more (Albania, Armenia, Bulgaria, the Kyrgyz Republic, Lithuania, and Romania) and other detailed work available from newer or more specific engagements (Croatia, the Russian Federation, Serbia, Ukraine, and Uzbekistan). The report is organized as follows: chapter one gives introduction. Chapter two provides an overview of the role of LRIS in the wider social assistance policies of Eastern Europe and Central Asia. Chapter three looks into the institutional and financing arrangements of the LRIS programs in the case study countries. Chapter four covers one of the two most charged issues in narrowly targeted LRIS programs - how eligibility is determined. Chapter five takes up the other charged issue in these programs - the benefit formula and how labor disincentives can be held in check with the guaranteed minimum income design. Chapter six focuses on two key elements of control and accountability systems in LRIS programs - modern management information systems and strategies to reduce error, fraud, and corruption. Chapter seven examines the administrative costs of the LRIS programs in the case study countries. Chapter eight highlights and summarizes the lessons.
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    For Protection and Promotion : The Design and Implementation of Effective Safety Nets
    (Washington, DC : World Bank, 2008) Grosh, Margaret ; del Ninno, Carlo ; Tesliuc, Emil ; Ouerghi, Azedine
    All countries fund safety net programs for the protection of their people. Though an increasing number of safety net programs are extremely well thought out, adroitly implemented, and demonstrably effective, many others are not. This book aims to assist those concerned with social policy to understand why countries need social assistance, what kind of safety programs will serve those best and how to develop such programs for maximum effectiveness. Safety nets are part of a broader poverty reduction strategy interacting with and working alongside of social insurance; health, education, and financial services; the provision of utilities and roads; and other policies aimed at reducing poverty and managing risk. Though useful, safety nets are not a panacea, and there are real concerns over whether they are affordable and administratively feasible or desirable in light of the various negative incentives they might create. In most settings where there is political will to do so, such concerns can be managed through a number of prudent design and implementation features. Much information and innovation exist on these topics; this book summarizes, references, and builds on this knowledge base to promote well-crafted safety nets and safety net policy.
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    Revisiting Targeting in Social Assistance: A New Look at Old Dilemmas
    (Washington, DC: World Bank, 2022-03-31) Grosh, Margaret ; Leite, Phillippe ; Wai-Poi, Matthew ; Tesliuc, Emil
    Targeting is a commonly used, but much debated, policy within global social assistance practice. This book examines the well- known dilemmas in light of the growing body of experience, new implementation capacities, and the potential to bring new data and data science to bear. Chapter 1 presents a series of essays on the factors that shape choices around why or whether or how narrowly/broadly to target different parts of social assistance. Chapter 2 updates the global empirics around the outcomes and costs of focusing benefits on the poor or vulnerable. Chapter 3 illustrates the options and choices that must be made in moving from an abstract vision of focusing resources on the poor or vulnerable to more specific concepts and implementable definitions and procedures, and how the many choices should be informed by values, empirics and context. Chapter 4 provides a brief treatment of delivery systems and processes showing their importance to distributional outcomes and suggesting the many facets with room for improvement. Chapter 5 discusses the choice between targeting methods, how differences in purposes and contexts shape those. Chapter 6 summarizes and comprehensively updates the know-how with respect to the data and inference used by the different household-specific targeting methods. Chapter 7 contains a primer on measurement issues, going much deeper than usual and explaining how better measurement can lead to clearer understanding of targeting issues. Chapter 8 explores machine learning algorithms for household-specific mechanisms for eligibility determination.