Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. Has the Grameen Bank, for example, succeeded in lowering consumption poverty among the rural poor in Bangladesh? Can conditional cash transfer programs in Mexico and Latin America improve health and schooling outcomes for poor women and children? Does a new road actually raise welfare in a remote area in Tanzania, or is it a "highway to nowhere?" This book reviews quantitative methods and models of impact evaluation. It begings by reviewing the basic issues pertaining to an evaluation of an intervention to reach certain targets and goals. It then focuses on the experimental design of an impact evaluation, highlighting its strengths and shortcomings, followed by discussions on various non-experimental methods. The authors also cover methods to shed light on the nature and mechanisms by which different participants are benefiting from the program. For researchers interested in learning how to use these models with statistical software, the book also provides STATA exercises in the context of evaluating major microcredit programs in Bangladesh, such as the Grameen Bank. The framework presented in this book can be very useful for strengthening local capacity in impact evaluation among technicians and policymakers in charge of formulating, implementing, and evaluating programs to alleviate poverty and underdevelopment.

Foreword Preface About the Authors Abbreviations Part1. Methods and Practices 1. Introduction 2. Basic Issues of Evaluation 3. Randomization 4. Propensity Score Matching 5. Double Difference 6. Instrumental Variable Estimation 7. Regression Discontinuity and Pipeline Methods 8. Measuring Distributional Program Effects 9. Using Economic Models evaluate Policies 10. Conclusions Part2. Stata Exercises 11. Introduction to Stata 12. Randomized Inmpact Evaluation 13. Propensity Score Matching Technique 14. Double-Difference Method 15. Instrumental Variable Method 16. Regresstion Discontinuity Design Answers to Chapter Questions Appendix: Programs and do Files for Chapter 12-16 Exercises Index