Eco311 练习题代写 Eco311 practice questions, Spring 2021

Eco311 practice questions, Spring 2021

Eco311 练习题代写 In 2016, the ODJFS had too many applicants for their training program. So, they used a lottery to randomly select which

1.You are hired by the Ohio Department of Jobs and Family Services (ODJFS) to analyze whether their job training programs help unemployed workers return to work. Job training programs provide unemployed workers with computer and other training, hopefully helping them re-enter the workforce.

Unemployed workers choose whether to participate in the job training program. ODJFS is interested in whether workers who attend training are more like to be employed after 1 year than those who do not attend the training.

ODJSF provide you with all their data on workers who participated and did not participate in job training. The sample means for the outcome variable and other characteristics are listed below.

Table 1 - Sample means

You can assume all differences between the treatment and non-treatment group are statistically significant

1. (2 points) What is the outcome? What is the treatment?

1. (3 points) In one sentence, describe what the treatment effect would represent in this example. (don’t calculate anything)

1. (13 points) ODJFS claim that the figures in Table 1 prove that “taking their job training programs have no effect on the chance of gaining employment.”

Do you agree? What sources of selection bias do the numbers in Table 1 suggest? Give one example from the table and explain how they would affect the difference in employment between the treatment and control group. Be specific!  Eco311 练习题代写

1. (12 points) In 2016, the ODJFS had too many applicants for their training program. So, they used a lottery to randomly select which participants were accepted. The selection process was fully random, and you have data on large samples of people who entered the lottery and were either accepted or rejected. Describe how you could use a sample of lottery winners and losers to analyze the true, causal effect of job training. How does this randomization solve the problems from part c?

2. Researchers are interested in the relationship between corporate leadership and firm performance. Suppose that you collect data on 1,000 firms and the characteristics of their CEOs You decide to run the following regression comparing the log profits of each firm and their CEO salary. CEO salary is measured in hundreds of thousands of dollars

Thus, you are running the following regression:

2. (5 points) When you run the regression, you estimate that . In words, what does this coefficient mean? If relevant, make sure to give the percentage interpretation of this coefficient.


3. (5 points) This regression is likely to suffer from omitted variable bias (OVB). What two conditions would need to hold (in this example) for an omitted variable to bias our estimate of ?


4. (5 points) Given one tangible example of an omitted variable that would bias . Explain how it satisfies your two conditions in part c. How would controlling for your omitted variable affect your estimate of ?

3. 
   

   In this question, we will use data with information on countries, life expectancies, and GDP per capita for several years. Below is the output after a glimpse statement on that dataset, which I have named “exam_data”. gdpPercap is measured in dollars. lifeExp is the average life expectancy, measured in years.  Eco311 练习题代写

   
   

a.(10 points) Suppose I ran the following data cleaning code. Interpret each line of the code (very briefly!) in words.

b.(10 points) Suppose I ran the following regression code and got the resulting output. Interpret the coefficient on both independent variables in words.

c.(5 points) Identify an omitted variable that might bias the relationship between GDP per capita and life expectancy. Explain why your variable is a valid omitted variable.

4) (10 points) RCTs are often called the gold standard for causal inference, but they have limitations. Explain why RCTs are the gold standard. Then, give two examples of problems and policy that are difficult to study with RCTs. Each example must highlight a different limitation of RCTs.  Eco311 练习题代写

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