The Role of Socio-Economic Factors in Earning of Women in Education Sector District Peshawar (Khyber Pakhtunkhwa) Article Swipe

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Fazli Qadir , Muhammad Tariq , Muhammad Jehangir ·

YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.31703/gssr.2018(iii-ii).07

This paper overviews socio-economic factors as determinants of working women earnings in education department of district Peshawar Khyber Pakhtunkhwa. For this purpose, a primary data was collected through a structured questionnaire from 126 working females in September, 2017. Multinomial logistic regression technique has been used for the estimation of results. The main findings of the study are that education, experience, family income, and locality of job area showed positive relationship with working women earnings. However, marital status remained insignificant. Based on the findings of this study the researchers recommended that females are significantly contributing in family expenditures. Therefore, government should invest more in female’s education and prioritize it.

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Khyber pakhtunkhwa Earnings Marital status Multinomial logistic regression Socioeconomics Logistic regression Government (linguistics) Estimation Family income Socioeconomic status Demography Economic growth Business Economics Medicine Sociology Population Finance Management Mathematics Internal medicine Philosophy Statistics Linguistics

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Type: article
Language: en
Landing Page: https://doi.org/10.31703/gssr.2018(iii-ii).07
PDF: https://gssrjournal.com/jadmin/Auther/31rvIolA2LALJouq9hkR/qQvTsYXCHs.pdf
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DOI: https://doi.org/10.31703/gssr.2018(iii-ii).07

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Title: The Role of Socio-Economic Factors in Earning of Women in Education Sector District Peshawar (Khyber Pakhtunkhwa)

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Language: en

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Publication year: 2018

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Publication date: 2018-06-30

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Authors: Fazli Qadir, Muhammad Tariq, Muhammad Jehangir

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Landing page: https://doi.org/10.31703/gssr.2018(iii-ii).07

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Concepts: Khyber pakhtunkhwa, Earnings, Marital status, Multinomial logistic regression, Socioeconomics, Logistic regression, Government (linguistics), Estimation, Family income, Socioeconomic status, Demography, Economic growth, Business, Economics, Medicine, Sociology, Population, Finance, Management, Mathematics, Internal medicine, Philosophy, Statistics, Linguistics

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