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2011 (Vol. 3, Issue: 4)
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 

Key words:  Ordinary Least Square (OLS) regression, Pakistan, women representation, , , ,
Vol. 3 , (4): 342-351
Submitted Accepted Published
2011 May, 14 2011 June, 28 2011 June, 20

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.
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  Cite this Reference:
Najeebullah Khan and Adnan Hussein, 2011. Evaluation of the Effects of Factors Affecting Women Representation Using Ordinary Least Square (OLS) Regression.  Asian Journal of Agricultural Sciences, 3(4): 342-351.
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ISSN (Online):  2041-3890
ISSN (Print):   2041-3882
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