راهنمای ارزیابی اثر: روش‌ها و رویه‌های کمّی ۲۰۱۰
Handbook on Impact Evaluation: Quantitative Methods and Practices 2010

1. Contents

2. Foreword

3. Preface

4. About the Authors

5. Abbreviations

6. Part 1 Methods and Practices

7. Part 2 Stata Exercises

8. Answers to Chapter Questions

9. Appendix: Programs and .do Files for Chapter 12–16 Exercises

10. Index

11. Box 2.1 Case Study: PROGRESA (Oportunidades) in Mexico

12. Box 2.2 Case Study: Assessing the Social Impact of Rural Energy Services in Nepal

13. Box 2.3 Case Study: The Indonesian Kecamatan Development Project

14. Box 2.4 Case Study: Monitoring the Nutritional Objectives of the FONCODES Project in Peru

15. Box 2.5 Case Study: Mixed Methods in Quantitative and Qualitative Approaches

16. Box 2.6 Case Study: An Example of an Ex Ante Evaluation

17. Box 3.1 Case Study: PROGRESA (Oportunidades)

18. Box 3.2 Case Study: Using Lotteries to Measure Intent-to-Treat Impact

19. Box 3.3 Case Study: Instrumenting in the Case of Partial Compliance

20. Box 3.4 Case Study: Minimizing Statistical Bias Resulting from Selective Attrition

21. Box 3.5 Case Study: Selecting the Level of Randomization to Account for Spillovers

22. Box 3.6 Case Study: Measuring Impact Heterogeneity from a Randomized Program

23. Box 3.7 Case Study: Effects of Conducting a Baseline

24. Box 3.8 Case Study: Persistence of Unobserved Heterogeneity in a Randomized Program

25. Box 4.1 Case Study: Steps in Creating a Matched Sample of Nonparticipants to Evaluate a Farmer-Field-School Program

26. Box 4.2 Case Study: Use of PSM and Testing for Selection Bias

27. Box 4.3 Case Study: Using Weighted Least Squares Regression in a Study of the Southwest China Poverty Reduction Project

28. Box 5.1 Case Study: DD with Panel Data and Repeated Cross-Sections

29. Box 5.2 Case Study: Accounting for Initial Conditions with a DD Estimator—Applications for Survey Data of Varying Lengths

30. Box 5.3 Case Study: PSM with DD

31. Box 5.4 Case Study: Triple-Difference Method—Trabajar Program in Argentina

32. Box 6.1 Case Study: Using Geography of Program Placement as an Instrument in Bangladesh

33. Box 6.2 Case Study: Different Approaches and IVs in Examining the Effects of Child Health on Schooling in Ghana

34. Box 6.3 Case Study: A Cross-Section and Panel Data Analysis Using Eligibility Rules for Microfinance Participation in Bangladesh

35. Box 6.4 Case Study: Using Policy Design as Instruments to Study Private Schooling in Pakistan

36. Box 7.1 Case Study: Exploiting Eligibility Rules in Discontinuity Design in South Africa

37. Box 7.2 Case Study: Returning to PROGRESA (Oportunidades)

38. Box 7.3 Case Study: Nonexperimental Pipeline Evaluation in Argentina

39. Box 8.1 Case Study: Average and Distributional Impacts of the SEECALINE Program in Madagascar

40. Box 8.2 Case Study: The Canadian Self-Sufficiency Project

41. Box 8.3 Case Study: Targeting the Ultra-Poor Program in Bangladesh

42. Box 9.1 Case Study: Poverty Impacts of Trade Reform in China

43. Box 9.2 Case Study: Effects of School Subsidies on Children’s Attendance under PROGRESA (Oportunidades) in Mexico: Comparing Ex Ante Predictions and Ex Post Estimates—Part 1

44. Box 9.3 Case Study: Effects of School Subsidies on Children’s Attendance under PROGRESA (Oportunidades) in Mexico: Comparing Ex Ante Predictions and Ex Post Estimates—Part 2

45. Box 9.4 Case Study: Effects of School Subsidies on Children’s Attendance under Bolsa Escola in Brazil

46. Figure 2.1 Monitoring and Evaluation Framework

47. Figure 2.A Levels of Information Collection and Aggregation

48. Figure 2.B Building up of Key Performance Indicators: Project Stage Details

49. Figure 2.2 Evaluation Using a With-and-Without Comparison

50. Figure 2.3 Evaluation Using a Before-and-After Comparison

51. Figure 3.1 The Ideal Experiment with an Equivalent Control Group

52. Figure 4.1 Example of Common Support

53. Figure 4.2 Example of Poor Balancing and Weak Common Support

54. Figure 5.1 An Example of DD

55. Figure 5.2 Time-Varying Unobserved Heterogeneity

56. Figure 7.1 Outcomes before Program Intervention

57. Figure 7.2 Outcomes after Program Intervention

58. Figure 7.3 Using a Tie-Breaking Experiment

59. Figure 7.4 Multiple Cutoff Points

60. Figure 8.1 Locally Weighted Regressions, Rural Development Program Road Project, Bangladesh

61. Figure 11.1 Variables in the 1998/99 Data Set

62. Figure 11.2 The Stata Computing Environment

63. Table 11.1 Relational and Logical Operators Used in Stata