Gender Wise Distribution of Income Using L-Moments Method

Authors

  • Muhammad Alam University of Malakand http://orcid.org/0000-0003-1268-0325
  • Saeed Ullah Jan Faculty of Basic & Applied Sciences Department of Statistics International Islamic Univerisity Islamabad Pakistan
  • Alam Zeb Faculty of Basic & Applied Sciences Department of Statistics International Islamic Univerisity Islamabad Pakistan

DOI:

https://doi.org/10.22158/csm.v2n1p29

Abstract

The main purpose of this work is to explore the income distribution of both male and female in Pakistan over the period of 2010-2011. For this purpose, the lognormal distribution with known parameters is used as a model and its unknown parameters are estimated by three methods that are likelihood, moments and L-moments. The results show that citizens of Pakistan are not equal in income and the probability plot suggested that the income of the male is greater than that of a female in Pakistan. Moreover, for small sample size, the best method of parameters estimation is the L-moments, while, for large sample size the best method is a maximum likelihood. Findings of the study suggest that suitable policy is required to maintain equality in income distribution in the country. It will consequently reduce the gap among rich and poor and will certainly improve social welfare.

Author Biographies

Muhammad Alam, University of Malakand

His research interests include e-Learning, Computer and Education, Information Security, SIP Authentication, IoT, Distributed Computing Environment & Clent-Server Architecture. He is also working as Coordinator for 09 BS Disciplines in Govt College Wari (Dir Upper) a far-flung remote area of the province where most of the Youngsters have no access to Universities/institutions for Higher Education.

Saeed Ullah Jan, Faculty of Basic & Applied Sciences Department of Statistics International Islamic Univerisity Islamabad Pakistan

Muhammad Alam received MS Degree in Statistics from IIUI in 2017. He is working as Subject Specialist in Elementry & Secondary Education Department Govt of Khyber Pakhtunkhwa Pakistan

Alam Zeb, Faculty of Basic & Applied Sciences Department of Statistics International Islamic Univerisity Islamabad Pakistan

Recently MS Scholar in IIUI

Published

2018-12-03

Issue

Section

Articles