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This presentation delves into the comparative relevance of the world's economic regions through quantitative analysis. Key indicators such as GDP per capita (PPP), public expenditure on health and education, and carbon dioxide emissions are analyzed across varying income levels. We assess the implications of these indicators using statistical methods like t-tests and regression analysis, exploring the relationships between economic variables and their environmental impacts. Conclusions highlight the significance of selecting appropriate economic regions for more precise results in policy implications.
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Quantitative Methods in Social Sciences (E774) The Comparative Relevance of the World’s Economic Regions Michel Amannian Ogou Geonjin Moon Maya El Hage Ahmad Sean Keogh 4/4 December 2009 *15-mins maximum per group*12-14 slides maximum
Part 1 Hypothesis Data Set 2 - Global Globalization Economic vs. Geographic Regions Indicators GDP Per Capita in PPP US$ (2005) Public Expenditure on Health as Percentage of GDP (2004) Public Expenditure on Education as Percentage of GDP (2002-2005) Carbon Dioxide Emissions per capita (t CO2 - 2004) QM_MDEV_E774(2009)
Part 2 - Policy Paper 1 Indicators Observations Mean Standard Deviation Min/Max Value Low Income Countries Middle Income Countries QM_MDEV_E774(2009)
Policy Paper 2 • Indicators • Mean Based Calculations • 95% Confidence Interval • Standard Error • Variance Ratio Test • Two-Sample t-test with equal variances QM_MDEV_E774(2009)
Policy Paper 3 Correlation Theory Regression Theory Lessons Learned Correlation - p-values Regression - r-squarred is overrated Power of Numbers QM_MDEV_E774(2009)
Part 4 Conclusions 1st Policy paper Relevant approach: hypothesis Limited results: mean, median, Standard Deviation. Chicken & Egg 2nd Policy paper - Too broad regional division Doubting applicability of our approach: environmental variable measurement 3rd Policy paper Significant and anticipated relationship between GDP/c and environment Intriguing relationship between GDP/c and Health In terms of economic region-> doesn’t provide us all proofs QM_MDEV_E774(2009)
Final Tally • Economic regions did not enhance, and at times limited, our correlation and regression analysis. • However, the more specific economic regions did help us derive more relevant results for analysis when looking at variables in isolation, such as with means and confidence intervals.
Future work Caution with Manual Data Sorting Careful with Stata Outcomes Public Expenditure for Environment as Percentage of GDP Different Economic Regions Comparison - Geographic vs. Economic Different Geographic Regions QM_MDEV_E774(2009)