Impact Evaluation 2017

  • Overview

This course offers an introduction to impact evaluation for master students from the Master in Economics of Public Policies. Impact evaluation is a rapidly expanding area at the cross section of economics, public policy, and finance. It’s purpose is to harness modern tools and technologies to evaluate the causal impact of public and social programs, business initiatives, and more.

This course also seeks to provide opportunities for students to work on empirical issues. Weekly STATA lab sessions will be conducted by teaching assistants for that matter. In addition, empirical papers will be discussed in order to get a better understanding of the techniques introduced in class.

Syllabus

  • Past Exams

2015  / 2016

  • Lectures

Lecture 0: Course Introduction

Lecture 1: Introduction to Impact Evaluation

Lecture 2: Review of Regression and Inference

Lecture 3: Evaluation Design

Lecture 4: Experiments

Lecture 5: Problems with Experiments-Noncompliance

Lecture 6a: Problems with Experiments-Spillover Effects

Lecture 6b: Problems with Experiments-Attrition

Lecture 7: Regression Discontinuity Designs

Appendix: Non-parametric Econometrics

Lecture 8: Instrumental Variables

Lecture 9: Differences in Differences

Lecture 10: Matching

Lecture 11: Power and Sample Size Calculation

  • Cases

Case I: Experiments-Bringing Education to Afghan Girls

Case II: Problems with Experiments/Noncompliance-The Demand for, and Impact of, Learning HIV Status

Case III: Problems with Experiments/Spillovers

Case IV: Problems with Experiments/Attrition

Case V: RDD-Government Transfers and Political Support

Case VI: IV-Community Nurseries and Nutritional Status

Case VII: DID-Water for Life

Case VIII: Matching

  • STATA Lab Sessions

Lab 1: Introduction to STATA.

Data Files: DataFinal_ENCEL07.dta / Example.xls / Additional.dta

STATA Reviewenaho01-2011-200.dtasumaria-2011.dta

Lab 2: Regression

Data Files: DataFinal_ENCEL07.dta / EPH_2006.dta

Lab 3: Experiments

Data Files: DataFinal_HH_ENCEL07.dta / PanelPROGRESA_97_99year.dta

Lab 4: Problems with Experiments

Data Files: PanelPROGRESA_97_99year.dta / PanelPROGRESA_Enrollment_97_99.dta

Lab 5: Regression Discontinuity Designs

Data Files: PanelPROGRESA_Enrollment_97_99.dta

Lab 6: Difference in Differences

Data Files: Panel_OPORTUNIDADES_00_07.dta

Lab 7: Instrumental Variables

Data Files: DataFinal_ENCEL07.dta

Lab 8: Power Analysis

Data Files: DataFinal_power.dta

  • Replication

Experiment: Miguel et al (2004)

Data Files: comply_old.dta / comply.dta / namelist_old.dta / namelist.dta / pupq.dta/ schoolvar.dta /test.dta /wormed.dta

Regression Discontinuity: Lee et al (2014)

Data Files: Lee et al (2004)_2Lee et al (2004)_4

Instrumental Variables: Acemoglu et al (2001)

Data Files: AJR(2001)

  • Homework

Empirical Problem Set 0: Introduction to STATA

Empirical Problem Set 1: Review of Regression

Data Files: PS1_PROGRESA.dta

Empirical Problem Set 2: Experiments

Data Files: PanelPROGRESA_97_99year.dta / PS2_Thorton(2008).dta

Empirical Problem Set 3: Selection on Unobservables

Data Files: PanelPROGRESA_97_99year.dta / PS3_Nunn(2008).dta

Empirical Problem Set 4: Differences in Differences

Data Files: Panel_OPORTUNIDADES_00_07_year.dta

Empirical Problem Set 5: Power Analysis

Data Files: DataFinal_power.dta

  • Impact Evaluation Proposal

Guidelines

Example 1: Impact Evaluation of a Financial Education Program for Girls in Kenya

Example 2: Impact Evaluation of Mission Asset Fund’s Lending Circle Program

Example 3: Impact Evaluation of the Provision of Jerry Cans and Chlorine in Haiti

Example 4: Impact Evaluation of an After School Tutoring Program for Chilean Children Who Live in Slums