Luoto, JillDang, Hai-AnhLanjouw, PeterMcKenzie, David2012-03-192012-03-192011-01-01https://hdl.handle.net/10986/3698Movements in and out of poverty are of core interest to both policymakers and economists. Yet the panel data needed to analyze such movements are rare. In this paper, the authors build on the methodology used to construct poverty maps to show how repeated cross-sections of household survey data can allow inferences to be made about movements in and out of poverty. They illustrate that the method permits the estimation of bounds on mobility, and provide non-parametric and parametric approaches to obtaining these bounds. They test how well the method works on data sets for Vietnam and Indonesia where we are able to compare our method to true panel estimates. The results are sufficiently encouraging to offer the prospect of some limited, basic, insights into mobility and poverty duration in settings where historically it was judged that the data necessary for such analysis were unavailable.CC BY 3.0 IGOAGGREGATE POVERTYAUTOCORRELATIONBIASESBOOTSTRAPCALCULATIONCHRONIC ILLNESSCHRONIC POVERTYCOMPUTATIONCONSUMPTION GROWTHCONSUMPTION PER CAPITACUMULATIVE DISTRIBUTIONCUMULATIVE DISTRIBUTION FUNCTIONDATA SETSDEGREE OF IMMOBILITYDENSITY FUNCTIONDEPENDENT VARIABLEDEVELOPING COUNTRIESDEVELOPING WORLDDEVELOPMENT ECONOMICSDEVELOPMENT POLICYDEVELOPMENT RESEARCHDISADVANTAGED GROUPSDRINKING WATERDUMMY VARIABLESECONOMETRICSECONOMIC DEVELOPMENTECONOMIC GROWTHECONOMIC STUDIESECONOMICSEDUCATION LEVELEMPIRICAL APPLICATIONEMPIRICAL SECTIONEQUATIONSERROR TERMERROR TERMSESTIMATES OF POVERTYESTIMATION METHODESTIMATION RESULTSETHNIC MINORITYETHNIC MINORITY GROUPSEXTREME POVERTYEXTREME POVERTY LINESFARMING AREASFEMALE-HEADED HOUSEHOLDSFIXED EFFECTSHEALTH OUTCOMESHOUSEHOLD COMPOSITIONHOUSEHOLD CONSUMPTIONHOUSEHOLD HEADHOUSEHOLD HEADSHOUSEHOLD LIVING STANDARDSHOUSEHOLD SIZEHOUSEHOLD SURVEYHOUSEHOLD SURVEYSHOUSINGHUMAN CAPITALHYPOTHESESIDIOSYNCRATIC SHOCKSINCOMEINCOME DYNAMICSINCOME LEVELSINCOME SHOCKSINDEPENDENT VARIABLEINEQUALITYLABOR MARKETMEASUREMENT ERRORSMEASUREMENT OF POVERTYMODEL SPECIFICATIONSNATIONAL POVERTYNATIONAL POVERTY LINENATURAL DISASTERSNEGATIVE SIGNNORMAL DISTRIBUTIONPOINT ESTIMATEPOINT ESTIMATESPOLICY MAKERSPOLICY RESEARCHPOLITICAL ECONOMYPOORPOVERTY ASSESSMENTPOVERTY DYNAMICSPOVERTY GAPPOVERTY LINEPOVERTY LINESPOVERTY MAPPOVERTY MAPPINGPOVERTY MAPSPOVERTY MEASURESPOVERTY RATEPOVERTY RATESPOVERTY STATUSPOVERTY TRAPSPREDICTIONPREDICTIONSPRIMARY EDUCATIONPROBABILITIESPROBABILITYRANDOM SAMPLESREGIONAL CHARACTERISTICSRELIABILITYRUNNING WATERRURALRURAL AREASAFETY NETSAMPLE SIZESAVINGSSCHOOLINGSOCIAL SAFETY NETSSTANDARD DEVIATIONSSTANDARD ERRORSSTATISTICAL INFERENCESTATISTICAL METHODOLOGYSTATISTICAL SIGNIFICANCETECHNICAL ASSISTANCETHEOREMSTIME SERIESUNEMPLOYMENTVALIDITYWorld Bank10.1596/1813-9450-5550