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IZA - Conference Program
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IZA/DFID Short Course: Program Evaluation
| Organizers: |
David Lam (University of Michigan and IZA), Maryam Naghsh Nejad (IZA) |
| Location: | Taj Pamodzi Hotel, Church Road, PO Box 35450 Lusaka, Zambia |
| Date: | October 29, 2016 - October 30, 2016 |
Event Manager: |
Dominik Spitza (IZA) |
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Program |
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Saturday, October 29:
| 08:00 |
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09:00 |
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Registration and Distribution of Learning Materials
Teaching Materials
Stata Licenses, Installation |
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| 09:00 |
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09:15 |
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Welcome and Introduction |
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| 09:15 |
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10:30 |
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Kate Vyborny (Duke University) |
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"Impact Evaluation"
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Theory of Change and Outcome Variable Selection
Potential Outcome Framework
RCT and Other Identification Strategies
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| 10:30 |
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11:00 |
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Coffee Break |
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| 11:00 |
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12:30 |
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Christopher Parsons (University of Western Australia and IZA) |
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"Difference in Differences"
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Motivation and Intuition
Historical Example
Graphical Illustration and Formalization
DiD with Regressions
Practical Advice and Sensitivity Analysis |
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| 12:30 |
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13:30 |
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Lunch |
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| 13:30 |
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15:00 |
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Marco Caliendo (University of Potsdam and IZA) |
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"Maching I"
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What Is (Propensity Score) Matching?
Estimating the Propensity Score
Overlap and Common Support |
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| 15:00 |
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15:30 |
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Coffee Break |
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| 15:30 |
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17:00 |
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Marco Caliendo (University of Potsdam and IZA)
"Matching II" |
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Choosing a Matching Algorithm
Assessing the Matching Quality
Effect Estimation |
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| 17:00 |
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17:30 |
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Day 1 Wrap Up |
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| 18:30 |
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Dinner (shuttle) |
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Sunday, October 30:
| 08:30 |
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10:00 |
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Kate Vyborny (Duke University)
"Randomized Evaluations I" |
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How to Randomize
(Selecting a Sample; Stratification; Level of Randomization;
Avoiding Spillovers and Clustering; Balance Testing)
Take-Up; Full vs. Partial Randomization |
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| 10:00 |
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10:30 |
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Coffee Break |
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| 10:30 |
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12:00 |
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Kate Vyborny (Duke University)
"Randomized Evaluations II" |
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Data Collection: from Baseline to Follow-Up
(Sample Size; Timing and Frequency; Attrition)
Heterogeneous Effects
Multiple Arms and Testing Mechanisms
External Validity |
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| 12:00 |
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13:00 |
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Lunch |
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| 13:00 |
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14:30 |
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Christopher Parsons (University of Western Australia)
"Regression and Discontinuity Design" |
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Motivation and Intuition
Examples: RDD in Practice
Sharp RDD: Formalization and Estimation
Robustness Checks
Fuzzy RDD: Intuition and Practice |
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| 14:30 |
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15:00 |
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Coffee Break |
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| 15:00 |
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16:00 |
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Practical Implications and Concluding Remarks |
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Suggested Reading |
Impact Evaluation:
Difference in Differences:
- Card, D. & Krueger, A.B. (1994): Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania, The American Economic Review 84, 772-793.
Matching:
- Caliendo, M. & Kopeinig, S. (2008): Some Practical Guidance for the Implementation of Propensity Score Matching, Journal of Economic Surveys 22, 31-72.
- Dehejia, R.H. & Wahba, S. (1999): Causal Effects in Nonexperimental Studies: Reevaluation of Training Programs, Journal of the American Statistical Association 94, 1053-1062.
Randomized Evaluations:
Regression Discontinuity Design:
- Angrist, J.D. & Lavy, V. (1999): Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement, The Quarterly Journal of Economics 114, 533-575.
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