Country : United Kingdom
Assignment Task -                 
 

Question 1 

Consider the following four measures, constructed for each respondent from their responses to the three immigration_ questions: 

A. the mean of the individual’s responses to immigration_same_ethnicity, immigration_diff_ethnicity, and immigration_world_poor 

B. the difference between the individual’s responses: 

immigration_same_ethnicity - immigration_diff_ethnicity 

C. the difference between the individual’s responses: 

immigration_diff_ethnicity - immigration_world_poor 

D. the minimum value of the individual’s responses to 

immigration_same_ethnicity , immigration_diff_ethnicity , and immigration_world_poor 

 

Note for the last of these that minimum means the numerical minimum value, see the above statement for how the numerical levels relate to the survey responses. 

State the following for each of the four measures: 

i. What is the range of the measure? 

ii. What are the units of the measure? 

iii. What assumptions are made in the construction of the measure?

 

Question 2 

  • Construct a set of histograms for the satisfaction_ variables and calculate the means of all the variables as well. Comment on what we learn from the means of the different variables. 
  • Construct an equal weight index of the six satisfaction_ variables. 
  • If you had to put a label on the concept measured by this equal weight index, what would it be? Please provide a short justification. 
  • Identify an alternative concept that you might have measured with a subset of these indicators. What is the concept, and which indicators would you use to measure that concept? 

 

Question 3 

Fit a linear regression ( lm() ) for the equal weight index with dummy variables for countries and include a weight=ess2018$weight argument so that you are using the survey weights. Describe general patterns in which countries’ citizens have higher and lower values of the satisfaction index.

Now, extend the analysis in part A to separately analyze the equal weight index for survey respondents with and without degrees, in each country. There are many ways you could do this, but whichever analysis you do, state clearly what you have done, and describe what we learn about the relationship between educational background and the index, and how it varies across European countries. You will likely find it helpful to present the results of your analysis in a table and/or figure. 

 

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  • Uploaded By : Roman
  • Posted on : January 07th, 2019
  • Downloads : 110

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