الفهرس 
Title : Wealth Index in Egypt (Comparative Study)
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Abstract
Due to the abundance of household survey data on asset ownership, the considerable biases and measurement error associated with reported income. Several approaches, ranging from very simple to fairly complex have been used to approximate permanent income using assets, housing quality and other indicators, however, most surveys conducted in Egypt follow World Bank wealth index which uses only one method (PCA). There are several steps to construct an index: determination of indicator variables, dichotomization, calculations of indicator weights and calculations of distribution cut points.The selection of indicator variables is relatively straightforward. Almost all household assets and utility services are to be included, including country-specific items. Generally, any item that will reflect economic status is used. In this thesis, the aim is comparing other methods to this world wide method and comparing them all to expenditure data then figuring out which method best describes the poor in Egypt. These methods are principle component analysis, share weighted index, household score index, count index and item response theory. The IRT is a new approach in the field of wealth index which attempts to uncover a latent trait, such as ability, based on a set of correct or incorrect answers to questions on a test. where the latent trait is household economic status and the answers are ownership or non-ownership of a set of assets.Two approaches will be used to compare household rankings. The first one compares the simple correlation of household rankings across the different measures. Also, k2kappa statistic will be calculated in order to assess the agreement of classification between the different measures.The second one estimates the share of households that are simultaneously ranked in the poorest quintile by different measures. This focuses on the way in which these types of methods are often used and identifying households in the poorest tail of the economic status distribution. This thesis uses the data of the Household Income, Expenditure and Consumption Survey) HIECS (which is conducted by Central Agency for Public Mobilization and Statistics (CAPMAS) for the round 2014/2015