SOC210 - Data Analysis and Interpretation - OECD Dataset - Data Analytics Assignment Help

Assignment Task:

SOC210 Data Analysis and Interpretation Assignment Help

Questions:

1. Describe the data that you will be analyzing. What does the dataset cover? What is the unit of analysis? What is your sample size? How many variables are there?

2. Using 1-2 tables, graphs, and your knowledge of descriptive statistics, provide a discussion of inequality and policy across countries based on the following variables: welfare regime (regime), government social spending (public.spend.gdp), income inequality (gini.disposable), and post-tax poverty rate (poverty.aftertax). Summarize the variables using the appropriate measures of central tendency and dispersion. Make sure to discuss the units of the variables and what they measure. Overall, what do these descriptive statistics tell us about OECD countries?

3. Many argue that poverty rates are higher in liberal welfare states compared to social democratic welfare states as a result of lower social spending. Are post-tax and transfer poverty rates higher in liberal welfare states than in countries classified as social-democratic? Create a boxplot to visualize the relationship between the variables. Then use hypothesis testing to assess whether there is a significant difference in poverty rates between liberal and social democratic countries. Is this relationship significant at the 0.05 level? Write a short paragraph interpreting the results of your analysis and the relationship between these variables. Variables - poverty.aftertax, regime

4. Researchers often define welfare regimes based on how much they rely on the government – as opposed to the market – to ameliorate the risks associated with industrial society (i.e. unemployment, sickness, old age). In doing so, it is likely that more government-oriented regimes will have higher levels of spending on social services. Investigate whether this is true. Does per capita government spending differ across welfare regimes? Is this relationship significant at the 0.05 level? Use a boxplot and an ANOVA test to determine whether spending varies by welfare regime. Write a short paragraph interpreting the results of your analysis and the relationship between these variables. Variables - public.spend.percap, regime

5. Many justify increased social spending as an effective way to reduce inequality and poverty. Does inequality – measured by the Gini coefficient – vary across welfare regimes? Is this relationship significant at the 0.05 level? Use a boxplot and an ANOVA test to determine whether inequality varies by welfare regime. Write a short paragraph interpreting the results of your analysis and the relationship between these variables. Variables - gini.disposable, regime

6. The rise of global inequality has sparked concern that high levels of inequality will worsen social problems and crime. Is there a relationship between the level of income inequality and the homicide rate across OECD countries? Is it significant at the 0.05 level? Create a scatterplot to visualize the relationship between inequality, measured with the Gini coefficient, and the homicide rate. Then conduct a bivariate regression to answer this question. Compute and report the slope, the intercept, r, and r2 . Write a short paragraph interpreting the results of your analysis and the relationship between these variables. Variables - gini.disposable, homicide.rate

7. Most people expect social spending to improve wellbeing. Is this expectation accurate? Choose one measure of wellbeing (i.e. life expectancy, poverty, infant mortality, access to clean water, etc.) that is of interest to you. Make sure to describe and justify your choice. Does wellbeing in a country differ by the amount spent per capita on social services? Is this relationship significant at the 0.05 level? Create a scatterplot to visualize the relationship between the variables. Then conduct a bivariate regression to answer this question. Compute and report the slope, the intercept, r, and r2 . Write a short paragraph interpreting the results of your analysis and the relationship between these variables. Variables - public.spend.percap

8. Summarize your overall results. What does this study show us about inequality, government spending, and wellbeing across OECD countries? What can we learn about the relationships between inequality, policy, and social problems? How are these factors related?

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