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Abstract
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Article Information:
Evaluation of the Effects of Factors Affecting Women Representation Using Ordinary Least Square (OLS) Regression
Najeebullah Khan and Adnan Hussein
Corresponding Author: Najeebullah Khan
Submitted: 2011 May, 14
Accepted: 2011 June, 28
Published: 2011 June, 20 |
Abstract:
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In this study we tested the impact of seven explanatory variables such as political rights, civil liberty,
election system type, quota, female’s enrolment at college, female’s labor force participation rate, female’s life
expectancy at birth in (years) and real GDP per capita in US dollars at current price on women representation
using Ordinary Least Square (OLS) regression. Thirty years annual time series data were collected from
different sources including Inter Parliamentary Union PARLINE data base, 2010; Freedom House, 2010; World
Development Indicators, 2010; Penn World Table 6.3 and various economic surveys of Pakistan. Using SPSS
version 12.00, we examine the determinants of women representation in Pakistan. The results confirm that the
model is perfectly fit for explaining variation in women representation. Quota, female’s Life expectancy at birth
and GDP per capita are the three significant predictors, which explain 84% variation in women representation.
Key words: Ordinary Least Square (OLS) regression, Pakistan, women representation, , , ,
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Cite this Reference:
Najeebullah Khan and Adnan Hussein, . Evaluation of the Effects of Factors Affecting Women Representation Using Ordinary Least Square (OLS) Regression. Asian Journal of Agricultural Sciences, (4): 342-351.
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ISSN (Online): 2041-3890
ISSN (Print): 2041-3882 |
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