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    Computational tools for poverty measurement and analysis

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    This paper introduces some relatively straightforward computational tools for estimating poverty measures from the sort of data that are typically available from published sources. All that is required for using these tools is an elementary regression package. The methodology also easily lends itself to a number of poverty simulations, some of which are discussed. The paper addresses the central question: How do we construct poverty measures from grouped data on consumption and income? Two broad approaches can be identified: simple interpolation methods and methods based on parameterized Lorenz curves. The paper briefly describes the two approaches and discusses why the second may be considered preferable.Income. ,Consumption (Economic theory) ,Poverty Research Methodology. ,

    Agricultural strategies for micronutrients: Methodology

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    Non-PRIFPRI5; CRP4; 2 Promoting Healthy Diets and Nutrition for allA4NH; HarvestPlus; DGOCGIAR Research Program on Agriculture for Nutrition and Health (A4NH

    The Role of Biotechnology for Food Consumers in Developing Countries

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    (This paper examines various strategies such as plant breeding and biotechnology to improve micro-nutrient content of food crops including the beta-carotene as with Golden Rice... For more information and to get a copy of the original pdf file of this paper, write to the author a

    Economics of enhanced micronutrient density in food staples

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