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- W2502127136 abstract "The main sources of statistical data on monetary and non-monetary poverty are from sample surveys on income and living conditions. These rarely give credible estimates at sub-regional and local level. From this comes the importance of the Small Area Estimation (SAE) methods for measuring poverty at local level. This chapter serves as necessary background to introduce the book as it constitutes a useful preparation to the specific methodologies described in each chapter, and a common reference for the notation to use. It starts from the definition of poverty indicators and the problem of their estimation, to present then the main issues related to the data as data integration and data quality that are cross-cutting the methodologies presented in the book. The chapter then reviews the model-assisted and model-based methods used in the book and also gives advice and recommendations on the previous issues." @default.
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- W2502127136 date "2016-01-01" @default.
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- W2502127136 title "Introduction on Measuring Poverty at Local Level Using Small Area Estimation Methods" @default.
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- W2502127136 doi "https://doi.org/10.1002/9781118814963.ch1" @default.
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