Bardasi, ElenaBeegle, KathleenDillon, AndrewSerneels, Pieter2012-03-192012-03-192010-01-01https://hdl.handle.net/10986/3700Labor market statistics are critical for assessing and understanding economic development. In practice, widespread variation exists in how labor statistics are measured in household surveys in low-income countries. Little is known whether these differences have an effect on the labor statistics they produce. This paper analyzes these effects by implementing a survey experiment in Tanzania that varied two key dimensions: the level of detail of the questions and the type of respondent. Significant differences are observed across survey designs with respect to different labor statistics. Labor force participation rates, for example, vary by as much as 10 percentage points across the four survey assignments. Using a short labor module without screening questions on employment generates lower female labor force participation and lower rates of wage employment for both men and women. Response by proxy rather than self-report yields lower male labor force participation, lower female working hours, and lower employment in agriculture for men. The differences between proxy and self reporting seem to come from information imperfections within the household, especially with the distance in age between respondent and subject playing an important role, while gender and educational differences seem less important.CC BY 3.0 IGOCASUAL WORKERSCHANGECHILD LABORCONSUMPTION EXPENDITURESDATA COLLECTIONDATA ENTRYDATA QUALITYDESCRIPTIONDEVELOPMENT ECONOMICSDISTRICTSDWELLINGECONOMIC DEVELOPMENTECONOMICSEMPLOYEEEMPLOYMENTEMPLOYMENT PATTERNSEMPLOYMENT RATEEMPLOYMENT STATUSENUMERATORSFAMILY LABORFEMALEFEMALE EMPLOYMENTFEMALE LABORFEMALE LABOR FORCEFEMALESFIELD WORKGENDERGENDER ISSUESHOURS OF WORKHOUSEHOLD CHARACTERISTICSHOUSEHOLD COMPOSITIONHOUSEHOLD ENTERPRISEHOUSEHOLD ENTERPRISESHOUSEHOLD SURVEYHOUSEHOLD SURVEYSHOUSEHOLDSHOUSINGHUMAN RESOURCESINCOMEINFORMAL SECTORINTERVIEWSLABOR DEMANDLABOR FORCELABOR FORCE PARTICIPATIONLABOR MARKETLABOR MARKET INDICATORSLABOR MARKETSLABOR STATISTICSLABOR SUPPLYLABOR SURVEYSLABORERSLABOURLABOUR FORCELABOUR FORCE PARTICIPATIONLABOUR OFFICELABOUR STATISTICSLIVING STANDARDSLIVING STANDARDS MEASUREMENTMARKET SURVEYSOCCUPATIONOCCUPATIONAL CHOICEPRIVATE SECTORPUBLIC OPINIONQUESTIONNAIREQUESTIONNAIRE DESIGNQUESTIONNAIRESREGULAR JOBSRESEARCH DESIGNRESEARCH METHODSRURAL AREASSAMPLE SIZESELF EMPLOYEDSURVEY DATASURVEY DESIGNSURVEY IMPLEMENTATIONSURVEY INSTRUMENTSSURVEY QUESTIONNAIRESSURVEY QUESTIONSSURVEY RESEARCHUNEMPLOYMENTUNPAID FAMILY WORKERSURBAN AREASVILLAGESWAGE EMPLOYMENTWAGESWOMEN WORKERSWORK ACTIVITIESWORK IN PROGRESSWORK PROJECTWORKERWORKERSWORKINGWORKING HOURSWORKING WOMENYOUNGER WORKERSDo Labor Statistics Depend on How and to Whom the Questions Are Asked? Results from a Survey Experiment in TanzaniaWorld Bank10.1596/1813-9450-5192