الفهرس 
Chapter 1: Models for Personal Income DistributionOnly 14 pages are availabe for public view
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Abstract
The pattern how income is distributed among households in a given society is of prominent interest. Various functional forms / descriptive models along with competing estimation methods were suggested trying to mimic the behaviour of income distribution among households and across time. In this thesis, the income distribution among households and income inequality in Egypt are studied thoroughly using data from the households income and expenditure survey HIECS published by the CAPMAS for the years 2008 through 2018 . The data is reported in grouped format and hence, special estimation methods were used. First, using the multi-model generalized Beta estimation method (MGBE) to t the (GB2) distribution along with nine members of the GB family. (The Dagum, Singh-Maddala, Beta2, Generalized Gamma, Weibull, Log-Logistic, Pareto2, Gamma, Log-normal) and estimate some inequality indices using the maximum likelihood method. Second, using the robust Pareto mid-point estimation by altering the statistic used for upper income bracket and nally using the L, TL, and QL-moments estimation for the 3-parameters log-normal distribution. Estimation of mean incomes and inequality measures per geographical location Total Egypt, Urban and Rural are obtained for each of the ve periods under consideration. The main nding is that average incomes are increasing in nominal terms over time, and the levels of inequality are higher in Urban Vs Rural areas.