[The Impact of the Level of Women Workforce on Kuwait Economy]

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Table of Contents

CHAPTER 6: PILOT STUDY1

CHAPTER 7: RESULTS AND DISCUSSION6

CHAPTER 8 SUMMARY AND CONCLUSION33

BIBLIOGRAPHY41

Chapter 6: Pilot Study

6.1 Introduction

The following pilot study involves OLS regression analysis to determine whether the variables identified influenced economic growth over a 15 year period (1990 to 2005). At the same time two organisations and 4 individuals will be approached with a questionnaire that will have been developed to seek their views on the impact of the level of female workforce on the Kuwait economy.The results of the pilot study will be analysed to identify any limitation from the process. Analysis at the pilot study is likely to involve non-parametric tests since the data gathered at that stage may not have the properties of a normal distribution which is required for more advanced parametric tests. The fifth stage will involve the amendments of the questionnaires in the light of the results of the pilot study. This may also include adding or deleting of some questions included for the pilot study. At the same time the variables used in the regression analyses may also be examined for the fit in the model. This may result the addition or subtraction of some of the variables included in the pilot study. The period of analysis may also be varied depending on the findings of the pilot study.

Following the changes to the questionnaire and quantitative variables, the OLS regression model will be run for the appropriate period that will have been identified after the pilot study and the postal questionnaire will be sent out to all the 100 individuals belonging to 10 different organisations and on their perception of the impact of the level of women workforce on Kuwait economy. There may be a follow up face to face interviews with those individuals who would have indicated their willingness to participate on the postal questionnaire. The data analysis is expected to involve descriptive statistics such as the means, median and ranges of the GDP and the independent variables for all the fifteen years. Second, the panel data will be used to investigate the hypotheses concerning the relationship between the variables identified and the GDP.Finally the both non-parametric tests and parametric tests such as Ordinary least squares (OLS) regression analysis will be used to determine the explanatory power of the variables on GDP.

6.2 Cross Sectional Models

The first set of estimations uses ordinary least squares (OLS) regression to estimate the relationship between growth, education, and female economic participation using cross-sectional data over a 15 year period (1990 to 2005). This strategy replicates Goldin's methodological approach. The first model tests female economic participation (FEP) as a function of GDP per capita and female gross enrollment rates (GER) in secondary school in Kuwait. The dependent variable is the economic participation rate of women ages 45 to 59 in Kuwait. Secondary gross enrollment rates are lagged 30 years to reflect access to education for this group of women in ...