By Shahidur R. Khandker
The 'Handbook on effect assessment' presents a realistic and finished evaluation of the newest effect evaluate tools for public courses, unique in the direction of researchers in addition to coverage makers. This e-book bridges the newest econometric learn on impression review with the sector adventure of software officers and evaluators. The authors define and talk about econometric tools for designing and comparing courses; those comprise experimental and nonexperimental ways, in addition to equipment for reading distributional and structural affects of courses. Discussions and up to date case reviews are awarded for every bankruptcy that draw at the sensible adventure of software officers and researchers in imposing diversified tasks together with guidelines on education, microfinance, wellbeing and fitness, and infrastructure. For researchers drawn to studying tips to use those versions with statistical software program, the instruction manual additionally offers STATA routines within the context of comparing significant microcredit courses in Bangladesh, reminiscent of the Grameen financial institution. The 'Handbook' can be utilized in upper-level undergraduate coverage and economics classes and in graduate coverage classes, in addition to a supplemental textual content in graduate improvement economics classes. The 'Handbook' can be helpful for college kids, researchers, and coverage makers.
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Additional info for Handbook on Impact Evaluation: Quantitative Methods and Practices
Every two months, project officials would randomly visit distribution points to monitor the quality of distribution, including storage. These visits also provided an opportunity to verify the number of beneficiaries and to underscore the importance of the program to local communities. Home visits were also used to evaluate beneficiaries’ knowledge of the project and their preparation of food. For example, mothers (who were primarily responsible for cooking) were asked to show the product in its bag, to describe how it was stored, and to detail how much had been consumed since the last distribution.
The costs of measurement will also guide this process. Fourth, the instruments to collect information need to be determined. Baseline or preprogram data can be very helpful in assessing the program’s impact, either by using the data to predict outcomes that might result from the program (as in ex ante evaluations) or by making before-and-after comparisons (also called reflexive comparisons). Program managers can also engage in frequent discussions with staff members and targeted communities. Fifth, targets need to be established; these targets can also be used to monitor results.
During project identification and preparation, for example, the importance and objectives of the evaluation need to be outlined clearly. Additional concerns include the nature and timing of evaluations. To isolate the effect of the program on outcomes, independent of other factors, one should time and structure impact evaluations beforehand to help program officials assess and update targeting, as well as other guidelines for implementation, during the course of the intervention. Data availability and quality are also integral to assessing program effects; data requirements will depend on whether evaluators are applying a quantitative or qualitative approach—or both—and on whether the framework is ex ante, ex post, or both.