Data Analysis And Interpretation Of The Data Essay

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Data Analysis and Interpretation The objective of this chapter is to describe the procedures used in the analysis of the data and present the main findings. It also presents the different tests performed to help choose the appropriate model for the study. The chapter concludes by providing thorough statistical interpretation of the findings. The research data was analyzed using a statistical software called STATA. Before running the data for the regression analysis, panel unit-root test was performed to see if data is stationary over time so that it can be used in estimating the variables in question. The value of the variables in the model throughout the research period is not constant; that means, there are some periods where there are spikes. These periods of ups and downs in value of economic variables are called shock in economic jargon. The notion behind testing for stationarity is to identify whether the effect of such shocks is permanent or transitory. If the effect of such shocks is temporary, the subsequent values of the variables will return to their long term equilibrium suggesting that the data is stable even with the presence of shocks. 4.1. Presentation and Interpretation of research findings Table 4.1 presents the panel unit-root test results. There are two groups of hypotheses that are involved here. In the first four methods, the null hypothesis is: there is panel unit-root and the alternative hypothesis is: there is no panel unit-root and the decision
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