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Abstract: During the past decades, there has been much debate on food security. A variety of indicators have been proposed in order to establish which countriesare in need of improved food security status. The heterogeneity of existing indicators and the lack of consensus on how to compare and rank countries have motivated international organizations to build composite indexes to synthesize the information. The process of building composite indexes involves multiple choices that influence the outcome. Our analysis aims at understanding how relevant and discretional may be the analyst’s choice of algorithms to compute composite indexes for food security. To this extent, we have computed several composite indexes for food security by using data provided by the Food and Agricultural Organization, which includes a large set of proxies for food security, as emerged from the Committee on World Food Security Round Table. We compare different methods to impute, homogenize, weight and aggregate data, in order to compute composite indexes and show how relevant are the choices to be made. We show that normalization and weighting are not very crucial decisions, whereas special attention has to be paid in choosing the data imputation and aggregation methods. By commenting on the implications that different measurement choices may have in terms global index, we show that the index construction decisions matter.
Keywords: Food policy; Food security; Index; Composite Index (search for similar items in EconPapers)
JEL-codes: C43 O13 O57 Q18 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr
Date: 2014-05
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JEL-codes: C43 O13 O57 Q18 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr
Date: 2014-05
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (11) Track citations by RSS feed
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For further details log on website :
http://econpapers.repec.org/paper/pramprapa/58955.htm
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