Problem set 6

Due by 11:59 PM on Wednesday, March 25, 2020

Instructions

You must submit all assignments as a Word document. Answer all questions carefully and neatly. Use section headings to distinguish what question you are answering. If the question involves a graph, copy/paste the graph into your document and make sure the graph has a title and axis labels.

Tutorial

Tutorial for this week here


Task 1: List Experiment

We talked about list experiments in class and how they are used to learn about sensitive behaviors. Skim this, paying special attention to What about the innocuous questions?, and this.

Now, make your own list experiment where you would want to measure any sensitive behavior of your choosing (doesn’t have to be about politics). Make sure to justify your choice of non-sensitive items.

Task 2: Vote-buying in Latin America

Use the following survey data from LAPOP fielded in 2010.

Let’s look at the vote-buying variable, clien1. First, filter out responses like “Not Applicable” or “Don’t know”, or “No response”; we don’t want those. Then, use IF or IFS to create a new variable called “vote_sold” that takes the value of 1 if a person answered “Frecuentemente” or “Rara vez” to clien1, and 0 otherwise.Be careful with spelling, capitalization, etc.!

  1. Take the average of vote_sold for each country and plot the results using a suitable graph. Discuss which countries have highest and lowest levels of vote-buying according to the survey, and whether this is surprising to you based on your priors about those countries.

  2. Make some plots or tables to look at the relationship between vote_sold and 2-3 sociodemographic variablesThis will involve using pivot tables.

    . Are certain people more likely to be targeted for vote-buying than others? What does the data say?

  3. Create a new variable called “activist” that is the average of the “cp” variablesUse a formula and the AVERAGE function, or just do it manually.

    . This variable will measure how politically engaged a person is: a person who scores low on activist will tend to do more of the stuff described in the “cp” variables than someone who scores high (see variable dictionary below). Find the average of vote_sold across levels of activist and plot them with activist on the x-axis. What does the relationship tell you about who is most likely to be targeted for vote-buying? Why might that be?

original labels
pais Country
ur Urban/Rural
q2 Age
q1 Sex
clien1 Have you been offered a bribe to vote in a particular way?
ed Years of Schooling
tamano Size of Location
cp5 Helped Solve a Problem in the Community (1 = very often, 4 = never)
cp8 Attendance at Meetings of Community Improvement Group (1 = very often, 4 = never)
cp9 Attendance at Meetings of Professionals or Merchants Associations (1 = very often, 4 = never)
cp13 Attendance at Meetings of Political Movements or Parties (1 = very often, 4 = never)
q10 Income categories (0 = very low income, 10 = very high income)