Can We Trust Shoestring Evaluations?

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dc.creatorRavallion, Martin
dc.date2012-03-19T17:29:27Z
dc.date2012-03-19T17:29:27Z
dc.date2012-03-01
dc.date.accessioned2026-07-01T01:05:26Z
dc.descriptionMany more impact evaluations could be done, and at lower unit cost, if evaluators could avoid the need for baseline data using objective socio-economic surveys and rely instead on retrospective subjective questions on how outcomes have changed, asked post-intervention. But would the results be reliable? This paper tests a rapid-appraisal, "shoestring," method using subjective recall for welfare changes. The recall data were collected at the end of a full-scale evaluation of a large poor-area development program in China. Qualitative recalls of how living standards have changed are found to provide only weak and biased signals of the changes in consumption as measured from contemporaneous surveys. Importantly, the shoestring method was unable to correct for the selective placement of the program favoring poor villages. The results of this case study are not encouraging for future applications of the shoestring method, although similar tests are needed in other settings.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttp://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20120305094659
dc.identifierhttps://hdl.handle.net/10986/3269
dc.identifier10.1596/1813-9450-5983
dc.identifier.urihttp://hdl.handle.net/123456789/415120
dc.languageEnglish
dc.relationPolicy Research working paper ; no. WPS 5983,Paper is funded by the Knowledge for Change Program (KCP)
dc.rightsCC BY 3.0 IGO
dc.rightshttp://creativecommons.org/licenses/by/3.0/igo
dc.rightsWorld Bank
dc.subjectAGRICULTURE
dc.subjectANTIPOVERTY PROGRAM
dc.subjectCLINICS
dc.subjectCORRELATIONS
dc.subjectDATA COLLECTION
dc.subjectDEBT
dc.subjectDEVELOPMENT POLICY
dc.subjectDEVELOPMENT PROJECTS
dc.subjectDEVELOPMENT RESEARCH
dc.subjectDWELLING
dc.subjectECONOMIC RESEARCH
dc.subjectECONOMIC SURVEYS
dc.subjectESTIMATORS
dc.subjectEXTERNALITIES
dc.subjectGENDER
dc.subjectGROWTH MODELS
dc.subjectHOUSEHOLD SURVEYS
dc.subjectHOUSEHOLDS
dc.subjectHOUSING
dc.subjectHYGIENE
dc.subjectIMPACT EVALUATION
dc.subjectINCOME
dc.subjectINTEREST RATE
dc.subjectINTERVENTION
dc.subjectINTERVENTIONS
dc.subjectINTERVIEWS
dc.subjectLABOR MOBILITY
dc.subjectLEARNING
dc.subjectLIVING CONDITIONS
dc.subjectLIVING STANDARDS
dc.subjectLONGITUDINAL DATA
dc.subjectMARGINAL COST
dc.subjectOCCUPATION
dc.subjectPOVERTY REDUCTION
dc.subjectPRODUCTION COSTS
dc.subjectPRODUCTION INPUTS
dc.subjectPROGRAM EVALUATION
dc.subjectPROGRAMS
dc.subjectQUANTITATIVE DATA
dc.subjectQUESTIONNAIRES
dc.subjectRELIABILITY
dc.subjectRESEARCH METHODS
dc.subjectRESEARCH WORKING PAPERS
dc.subjectSAFETY
dc.subjectSELECTION BIAS
dc.subjectSOCIAL SCIENCE
dc.subjectSURVEY DATA
dc.subjectSURVEY DESIGN
dc.subjectTARGETING
dc.subjectTREATMENT EFFECTS
dc.subjectURBAN AREAS
dc.subjectVILLAGES
dc.subjectWEIGHTING
dc.subjectWELFARE LEVELS
dc.titleCan We Trust Shoestring Evaluations?

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