Economics 172 Issues in African Economic Development

Slides:



Advertisements
Similar presentations
Choosing the level of randomization
Advertisements

Girls’ scholarship program.  Often small/no impacts on actual learning in education research ◦ Inputs (textbooks, flipcharts) little impact on learning.
SPRING CLEANING NOTES Trickle Down: Diffusion of Chlorine for Drinking Water Treatment in Kenya -- This work is joint with Michael Kremer of Harvard, Ted.
Differences-in- Differences November 10, 2009 Erick Gong Thanks to Null & Miguel.
ABHISHEK CHAKRAVARTY LECTURE 9 EC336 Economic Development in a Global Perspective.
Economics 172 Issues in African Economic Development Lecture 13 February 28, 2006.
Povertyactionlab.org Managing Threats to Evaluations and Data Analysis Michael Kremer Harvard University
Economics 172 Issues in African Economic Development Lecture 11 February 21, 2006.
Health Programme Evaluation by Propensity Score Matching: Accounting for Treatment Intensity and Health Externalities with an Application to Brazil (HEDG.
Lessons for Education in Africa Evidence from Randomized Evaluations in Kenya Esther Duflo J-PAL A B D U L L A T I F J A M E E L P O V E R T Y A C T I.
Economics 172 Issues in African Economic Development Lecture 14 March 2, 2006.
Understanding the scores from Test 2 In-class exercise.
Economics 172 Issues in African Economic Development Lecture 22 April 13, 2006.
EDWARD MIGUEL UNIVERSITY OF CALIFORNIA, BERKELEY CENTER FOR EFFECTIVE GLOBAL ACTION (CEGA) 2015 EAST AFRICA EVIDENCE SUMMIT APHRC, NAIROBI, KENYA – JULY.
Adolescent girls, school, HIV, and pregnancy: evidence from Kenya Michael Kremer, Harvard University Esther Duflo, Pascaline Dupas, Samuel Sinei; Edward.
Evaluating HIV Prevention and Treatment Programs Damien de Walque Markus Goldstein.
ECON 3039 Labor Economics By Elliott Fan Economics, NTU Elliott Fan: Labor 2015 Fall Lecture 31.
Economics 172 Issues in African Economic Development Lecture 4 January 26, 2006.
Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.
Economics 172 Issues in African Economic Development Lecture 21 April 11, 2006.
Economics 172 Issues in African Economic Development Lecture 12 February 23, 2006.
CHOOSING THE LEVEL OF RANDOMIZATION. Unit of Randomization: Individual?
Chapter 6 Introduction to Multiple Regression. 2 Outline 1. Omitted variable bias 2. Causality and regression analysis 3. Multiple regression and OLS.
State of the Field: The Need to Understand and Incorporate Variation in Impact in Seeking to Influence Outcomes for Women and Children Kate Schwartz &
5 Education for All Development Issues in Africa Spring 2007.
Economics 172 Issues in African Economic Development Lecture 9 February 13, 2006.
Effects of migration and remittances on poverty and inequality A comparison between Burkina Faso, Kenya, Nigeria, Senegal, South Africa, and Uganda Y.
Lecturer: Ing. Martina Hanová, PhD..  How do we evaluate a model?  How do we know if the model we are using is good?  assumptions relate to the (population)
An Introduction to Cost-Effectiveness Analysis. AN OVERVIEW OF CEA.
Differences-in-Differences
Testing Happiness Hypothesis among the Elderly Alejandro Cid () Daniel Ferrés () Máximo Rossi ( ) July 2007  Universidad de Montevideo  
School-Based HIV Prevention
A pilot randomized controlled trial of acupuncture and relaxation response on homeless veterans with substance abuse Bei-Hung Chang, Sc.D.1,2 Elizabeth.
Constructing Propensity score weighted and matched Samples Stacey L
Differences-in-Differences
5.2 Normal Distributions: Finding Probabilities
Economics 172 Issues in African Economic Development
Statistical Analysis of the Randomized Block Design
OVERVIEW OF AIDS INITIATIVES IN CORPORATE SOUTH AFRICA
Economics 172 Issues in African Economic Development
Economics 172 Issues in African Economic Development
Economics 172 Issues in African Economic Development
Normal Distribution Many things closely follow a Normal Distribution:
Economics 172 Issues in African Economic Development
Samples, Experimental , & Observational Studies
Lecture 17 Rank Correlation Coefficient
Samples, Experimental , & Observational Studies
Methods of Economic Investigation Lecture 12
اهداف کلاس های آمادگي براي زايمان
“Forward” vs “Reverse”
Benefits of Experimental Research
Impact Evaluation Toolbox
P-E/I-C-O P = Defined population E/I = Exposure/Intervention
,. . ' ;; '.. I I tI I t : /..: /.. ' : ····t I 'h I.;.; '..'.. I ' :".:".
Surveys, Experiments, and Observational Studies
September 22 , 2016 The TOPS Program
Explanation of slide: Logos, to show while the audience arrive.
Class 2: Evaluating Social Programs
Alexa Stuifbergen, PhD, RN, FAAN Heather Becker, PhD, Frank Perez, PhD
Anemia Women silent killer
Class 2: Evaluating Social Programs
Get your book and binder
Samples, Experimental , & Observational Studies
Chapter 7 The Normal Distribution and Its Applications
Deficiency of proteins
A randomized, controlled trial of a patient-centered disclosure counseling intervention for Kenyan children living with HIV. Rachel C. Vreeman, MD, MS;
Fig. 2. Change in IPSS scores as a measure of treatment effectiveness
UCLA Department of Medicine
Nutrition. Good Food Health.
Math 10, Spring 2019 Introductory Statistics
Presentation transcript:

Economics 172 Issues in African Economic Development Lecture 6 February 2, 2006

Miguel and Kremer (2004) – worms and education Outline: Methodological issues: Omitted variable bias and randomized experiments Miguel and Kremer (2004) – worms and education Economics 172

Omitted variable bias in OLS (1) Yi = a + bTi + cXi + ei Economics 172

Omitted variable bias in OLS (1) Yi = a + bTi + cXi + ei Economics 172

Omitted variable bias in OLS (1) Yi = a + bTi + cXi + ei Economics 172

Omitted variable bias in OLS Economics 172

Omitted variable bias in OLS (1) Yi = a + bTi + cXi + ei (2) E(Yi | T=1) – E(Yi | T=0) = [a + b + E(Xi | Ti=1) + E(ei | Ti=1)] – [a + 0 + E(Xi | Ti=0) + E(ei | Ti=0)] = b + c [E(Xi | Ti=1) – E(Xi | Ti=0)] Economics 172

Economics 172

Miguel and Kremer (2004) Primary School Deworming Project (PSDP) in Kenya Economics 172

Economics 172

Miguel and Kremer (2004) Primary School Deworming Project (PSDP) in Kenya Randomized design: 1998 1999 Group 1 (25 schools) Treatment Treatment Group 2 (25 schools) Comparison Treatment Group 3 (25 schools) Comparison Comparison Economics 172

Economics 172

PSDP Baseline differences (1998) Group 1 Group 2 Group 3 Latrine at home 0.82 0.81 0.82 Livestock at home 0.66 0.67 0.66 Child sick often 0.10 0.10 0.08 (self-reported) 1996 exam score -0.10 0.09 0.01 (normalized mean 0, s.d. 1) Economics 172

Health, nutrition impacts (1999) Group 1 Group 2 G1–G2 Rate of moderate-heavy infection 0.27 0.52 -0.25* Sick in past week 0.41 0.45 -0.04* Height for age -1.13 -1.22 0.09* (Z-score) Hemoglobin (Hb) 124.8 123.2 1.6 Economics 172

Within-school infection externalities (1999) Group 1 Group 1 Group 2 (Treated) (Untreated) Rate of moderate-heavy Infection, 1999 0.24 0.34 0.52 Economics 172

Within-school infection externalities (1999) Group 1 Group 1 Group 2 (Treated) (Untreated) Rate of moderate-heavy Infection, 1999 0.24 0.34 0.52 Rate of moderate-heavy Infection, 1998 0.39 0.41 - Economics 172

Economics 172

Whiteboard #1 Economics 172

Whiteboard #2 Economics 172

Whiteboard #3 Economics 172

Whiteboard #4 Economics 172

Whiteboard #5 Economics 172

Map of Africa Economics 172