000 02368cam a2200337 a 4500
003 EG-GiCUC
005 20250223031633.0
008 170101s2016 ua d f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.18.04.M.Sc.2016.As.E
100 0 _aAsmaa Noor Eldin Mohamed
245 1 0 _aEstimation of the parameters for expenditure distributions models and its derivatives :
_bCase study Egypt /
_cAsmaa Noor Eldin Mohamed ; Supervised Amany Mousa Mohamed , Yasmin Mohamed Ibrahim
246 1 5 _aتقدير معالم نماذج توزيع الدخل ومشتقاته :
_bدراسة حالة مصر
260 _aCairo :
_bAsmaa Noor Eldin Mohamed ,
_c2016
300 _a92 Leaves :
_bcharts ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Researches - Department of Statistics and Econometrics
520 _aThis study is aiming to choose the statistical distribution that "best" fits household expenditure (income) for each population subgroup (rural and urban) based on the Household Income, Expenditure and Consumption Survey (HIECS) data for 2010/ 2011 and 2012/ 2013. To achieve the goal of this study; Lognormal, Singh- Madalla, Dagum and Generalized beta type 2 distributions will be examined. These distributions will be tested using Maximum Likelihood, Bayes Information Criterion, and Akaike Information Criterion to select the one that "best" fits the data for rural and urban areas as well as for the aggregate level (i.e. Egypt as whole). We will also measure the degree of expenditure inequality once using the HIECS raw data, and another time using model fitted data for 2010/ 2011and 2012/ 2013. This study revealed important findings Generalized beta type 2 provides a better fit than Dagum, Singh-Madallah, and Log Normal distributions upon the AIC, BIC, log- likelihood criteria
530 _aIssued also as CD
653 4 _aGoodness of fit measures
653 4 _aIncome inequality measures
653 4 _aParametric income distribution models
700 0 _aAmany Mousa Mohamed ,
_eSupervisor
700 0 _aYasmin Mohamed Ibrahim ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSoheir
_eCataloger
942 _2ddc
_cTH
999 _c59260
_d59260