Data Analysis for Impact Evaluations – Quiz 6

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Question 1 of 4

1. Question
1. Which of the following subgroups can you estimate heterogeneous treatment effects in the EG dataset? (select all that apply)
- By village
- By school
- By gender
- By caste category
- By grade
- By individual student
- Nine of the above
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Question 2 of 4

2. Question
2. Consider the regression specification score = B0+B1*Treat+B2*Female+B3*Treat*Female+e. Suppose that B1 > 0, B2 = 0, and B3 < 0. Which of the following statements is true? (select all that apply)
- On average boys in the treatment group score higher than boys in the control group
- On average boys in the treatment group score lower than boys in the control group
- Not enough information to say if boys in the treatment group score higher or lower than boys in the control group
- On average girls in the treatment group score higher than girls in the control group
- On average girls in the treatment group score lower than girls in the control group
- Not enough information to say if girls in the treatment group score higher or lower than girls in the control group
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Question 3 of 4

3. Question
Create an interaction term treatment*total_bl, and regress Year 3 endline scores on treatment, baseline scores, and this interaction term. Include village pair fixed effects and don’t forget to cluster your standard errors.

3. What is the coefficient on the interaction term? Round to the nearest 0.01
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Question 4 of 4

4. Question
4. Which of the following statements is true?
- Students with higher baseline scores benefit more from treatment than students with lower baseline scores, and the difference is statistically significant at the 5% level
- Students with higher baseline scores benefit more from treatment than students with lower baseline scores, but the difference is not statistically significant at the 5% level
- Students with lower baseline scores benefit more from treatment than students with higher baseline scores, and the difference is statistically significant at the 5% level
- Students with lower baseline scores benefit more from treatment than students with higher baseline scores, but the difference is not statistically significant at the 5% level
- Impossible to say given the data
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Data Analysis for Impact Evaluations – Quiz 6

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1. Question

2. Question

3. Question

Create an interaction term treatment*total_bl, and regress Year 3 endline scores on treatment, baseline scores, and this interaction term. Include village pair fixed effects and don’t forget to cluster your standard errors.

4. Question

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1. Question

2. Question

3. Question

Create an interaction term treatment*total_bl, and regress Year 3 endline scores on treatment, baseline scores, and this interaction term. Include village pair fixed effects and don’t forget to cluster your standard errors.

4. Question

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Luminos – Impact evaluation of an accelerated learning program for out-of-school children in Liberia

Luminos Program Impact Evaluation – Second Endline

Inaugural Evidence for Development (Evi4Dev) Conference set for May 6-8, 2025 in Nairobi to tackle Africa’s key development challenges through innovation and evidence

Improving mental health policies in the Philippines

Resolving the chronic blood shortage in Zambia: Insights from non/donors

Groundbreaking research proves bicycles power economic growth and‬ ‭healthcare access

World Bicycle Relief – Mobilized Communities Impact Evaluation

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