Assessment Task:
Boston Data Set Research Assessment Answer

Exclusionary Attitudes

A researcher conducted a randomized field experiment assessing the extent to which individuals living in suburban communities around Boston, Massachusetts, and their views were affected by exposure to demographic change.

Questions

1. Load boston.csv into R. Look at a summary of the Boston data set to get a sense of what its variables look like.

2. Show that the treatment and control groups are balanced with respect to the income variable (income) by comparing its distribution between those in the treatment group and those in the control group. Also, compare the proportion of males (male) in the treatment and control groups. Interpret these results.

3. Individuals in the experiment were asked a series of questions both at the beginning and the end of the experiment. One such question was “Do you think the number of immigrants from Mexico who are permitted to come to the United States to live should be increased, left the same, or decreased?” The response to this question prior to the experiment is in the variable numberim.pre. The response to this question after the experiment is in the variable numberim.post. In both cases, the variable is coded on a 1 – 5 scale. Responses with values of 1 are inclusionary (‘pro-immigration’) and responses with values of 5 are exclusionary (‘anti-immigration’). Compare the distributions of numberim.pre between the treatment and control groups visually, with a boxplot. What does this comparison tell you?

4. Compute the average treatment effect on the change in attitudes about immigration. That is, how does the mean change in attitudes about immigration policy for those in the control group compare to those in the treatment group. Interpret the result.

5. Does having attended college influence the effect of being exposed to ‘outsiders’ on exclusionary attitudes? Another way to ask the same question is this: is there evidence of a differential impact of treatment, conditional on attending college versus not attending college? Calculate the necessary quantities to answer this question and interpret the results. Consider the average treatment effect for those who attended college and then those who did not.

6. Assess whether the difference in the response to the immigration item between treatment and control groups described in question 4 is “statistically significant”. Do this by calculating a 95% confidence interval for the mean change in immigration policy attitudes for both groups (control and treatment). If these two intervals do not overlap, we can conclude that the difference is statistically significant. Interpret the results.

 

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  • Uploaded By : Mitchell Lee
  • Posted on : November 14th, 2018

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