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Margaret Grosh

Researcher at World Bank

Publications -  57
Citations -  6165

Margaret Grosh is an academic researcher from World Bank. The author has contributed to research in topics: Social protection & Poverty. The author has an hindex of 22, co-authored 56 publications receiving 5877 citations. Previous affiliations of Margaret Grosh include University of Rochester.

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Conditional cash transfers : reducing present and future poverty

TL;DR: Conditional cash transfers (CCTs) are programs that transfer cash, generally to poor households, on the condition that those households make pre specified investments in the human capital of their children.
Journal Article

Designing Household Survey Questionnaires for Developing Countries : Lessons from 15 Years of the Living Standards Measurement Study, Volume 3

TL;DR: In this paper, the authors provide detailed advice on how to design multi-topic household surveys, based upon the experience of past household surveys and the World Bank's Living Standards Measurement Survey (LSMS).
Book

Targeting of Transfers in Developing Countries: Review of Lessons and Experience

TL;DR: In this article, a general review of experiences with methods used to target interventions in transition and developing countries is presented. But the authors focus on the use of data collected from the United Nations Development Programme (UNDP).
Book

For Protection and Promotion: The Design and Implementation of Effective Safety Nets

TL;DR: In this paper, the authors aim 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.
Book

Designing Household Survey Questionnaires for Developing Countries

TL;DR: In this paper, the authors provide detailed advice on how to design multi-topic household surveys based on the experience of past household surveys, which is part of an attempt to extend the range of policy issues that can be analyzed with Living Standard's Measurement Study (LSMS) data; to increase the reliability and accuracy of the surveys; and to make it easier to implement LSMS surveys.