ERF is pleased to announce the opportunity for researchers from the ERF region to participate in a training workshop on Applied Microeconometrics and Public Policy Evaluation. The aim of this course is to provide participants with a deeper understanding of micro-econometric estimation techniques that are widely used in public policy evaluation. Several methods will be illustrated and discussed such as selection correction models, instrumental variables, difference-in-difference, panel data models (fixed and random effects), regression-discontinuity design, and matching estimators.
The workshop will be split into theoretical and practical sessions. The workshop will be conducted mainly in English, with the possibility of using Arabic and French if needed.
By the end of day 3 participants will have acquired detailed knowledge of and hands-on experience in public policy evaluation techniques.
The workshop will be conducted mainly in English, with the possibility of using Arabic if needed. The workshop will be held on the ERF premises in Cairo during July 25-27, 2016. The training will be conducted by Ragui Assaad and Caroline Krafft. A short biography is included at the end of this announcement.
Eligibility:
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Applicants should be:
- Researchers from the ERF region with MAs or PhDs or in the process of completing these degrees.
- Less than 40 years of age.
- Trained in statistics or econometrics and able to use statistical programs. Priority will be given for those who are knowledgeable about STATA.
- Familiar with the management and analysis of microeconomic datasets such as labor force surveys and household surveys
- Priority will be given to those who have not attended previous ERF workshops.
Application procedure:
Applications must include a curriculum vitae (CV) with a minimum of one reference name, a motivation letter indicating why the candidate is interested in the topic of the workshop and how it relates to his/her research and a completed application form (Download here). The application forms must be completed and sent by email to Ingy Hab-El-Roman: iroman@erf.org.eg Deadline for submissions: May 31st, 2016.Program:
Day 1 (July 25):- 09:00-10:00 - Introduction and Objectives of the Workshop
- 10.00-11.00 - The fundamental problem of causal inference in program evaluation:
- Identifying appropriate counterfactuals
- Endogeneity: simultaneity, sample selection and omitted variable bias
- 11:00-11:30 - Coffee Break
- 11:30-12:30 - Potential Solutions:
- Randomization
- Non-experimental methods
- 12.30-13.30 - Lunch Break
- 13.30-15.00 - Solutions (1): Matching estimators
- Propensity score matching
- Propensity score weighted regressions
- 15.00-15.15 - Coffee Break
- 15.15-17.00 - Applications in STATA (1)
- Propensity score matching
- Propensity score weighted regressions
- Sections 1-4.2 in Ravallion, M. (2008). “Evaluating Anti-Poverty Programs” in Handbook of Development Economics 4, Ch. 59
- Section 5 in Ravallion, M. (2008). “Evaluating Anti-Poverty Programs” in Handbook of Development Economics 4, Ch. 59
- 09:00-10:30 - Solutions (2): Difference in Difference
- 10.30-11.00 - Coffee Break
- 11:00-12:30 - Applications in STATA (2): Difference in Difference
- 12:30-13:30 - Lunch Break
- 13.30-15.00 - Solutions (3): Panel Data Models: Fixed and Random Effects
- 15.00-15.30 - Coffee Break
- 15.30-17.00 - Applications in STATA (3): Panel Data Models: Fixed and Random Effects
- Skoufias, E. (2005). “PROGRESA and Its Impacts on the Welfare or Rural Households in Mexico.” IFPRI Research Report 139. Washington, DC: IFPRI.
- Wooldrich, Jeffrey. 2009. Introductory Econometrics: A Modern Approach. Chapters 13 and 14. Wahba, J. and Assaad, R. “Flexible Labor Regulations and Informality in Egypt” ERF Working Paper Series No. 915. Cairo, Egypt.
- 09:00-10:30 - Solutions (4): Control functions and instrumental variables
- 10.30-11.00 - Coffee Break
- 11:00-12:30 - Applications in STATA (4): Instrumental variables
- 12:30-13:30 - Lunch Break
- 13.30-15.00 - Solutions (5): Regression Discontinuity method
- 15.00-15.30 - Coffee Break
- 15.30-17.00 - Applications in STATA (5): Regression Discontinuity method
- Angrist, J.D. and J.-S. Pischke (2009). Chapter 4 “Instrumental variables in action: Sometimes you get what you need” Mostly Harmless Econometrics Princeton, NJ: Princeton University Press.
- Binzel, C. and R. Assaad. (2011). “Egyptian men working abroad: Labour supply responses by the women left behind.” Labour Economics 18: S98-S114.
- Imbens, G. and T. Lemieux. (2007). “Regression discontinuity designs: A guide to practice.” Journal of Econometrics 142: 615-635.
- Berlinski, S., S. Galiani and P. J. McEwan. (2011). “Preschool and Maternal Labor Market Outcomes: Evidence from a Regression Discontinuity Design.” Economic Development and Cultural Change 59(2): 313-344.