Income Inequality Comparison through Parametric Modeling

Simple item page
dc.contributor.authorHussnain Abbas
dc.date.accessioned2018-01-29T15:45:40Z
dc.date.available2018-01-29T15:45:40Z
dc.date.issued2017
dc.descriptionSupervised By: Dr. Muhammad Moeen Butten_US
dc.description.abstractThis study takes into account the determination of income inequality by non-parametric and parametric approach and comparison of the two techniques in the context of Multiple Indicator Cluster survey (MICS) data of Punjab for the years 2007-08 and 2013-14. Different probability distributions namely Pareto, exponential, generalized Pareto, gamma, Weibull, log-normal, Singh Maddala, Fisk, beta type II and generalized beta type II, have been applied in order to select a suitable distribution for the per capita income of Punjab, Pakistan, for the period of 2007-08 and 2013-14. For this purpose Akaike information criterion (AIC) and Bayesian information criteria (BIC) have been used to choose the best model for the data sets.We find that the Generalized Beta distribution of second kind (GBII) is more appropriate for the given data set. Parameters of the aforementioned distributions have been estimated using the maximum likelihood estimation method. Moreover, Lorenz curves, Gini coefficient (parametric and nonparametric) have been used to measure the income inequality for the data sets. Parametric Gini coefficient for generalized Pareto distribution, not available in literature, has been also derived. On the basis of parametric Gini coefficient value, it is found that there is a decrease of 0.04 in income inequality in 2013-14 as compared to 2007-08 for the province of Punjab. There also exists a difference in point estimates of Gini coefficient estimated by parametric and non-parametric methods.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/2630
dc.language.isoenen_US
dc.publisherUniversity of Management and Technology Lahoreen_US
dc.subjectIncome Inequalityen_US
dc.subjectMS Thesisen_US
dc.titleIncome Inequality Comparison through Parametric Modelingen_US
dc.titleIncome inequality comparison through parametric modelingen_us
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
Summary.pdf
Size:
135.21 KB
Format:
Adobe Portable Document Format
Description:
Download
No Thumbnail Available
Name:
Full View.htm
Size:
23.33 KB
Format:
Hypertext Markup Language
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Department of Quantitative Methods