Habib, BilalNarayan, AmbarOlivieri, SergioSanchez-Paramo, Carolina2012-03-192012-03-192010-04-01https://hdl.handle.net/10986/3773As the financial crisis has spread through the world, the lack of real-time data has made it difficult to track its impact in developing countries. This paper uses a micro-simulation approach to assess the poverty and distributional effects of the crisis in the Philippines. The authors find increases in both the level and the depth of aggregate poverty. Income shocks are relatively large in the middle part of the income distribution. They also find that characteristics of people who become poor because of the crisis are different from those of both chronically poor people and the general population. The findings can be useful for policy makers wishing to identify leading monitoring indicators to track the impact of macroeconomic shocks and to design policies that protect vulnerable groups.CC BY 3.0 IGOACCESS TO ELECTRICITYADVERSE IMPACTAGGREGATE POVERTYAGRICULTURAL EMPLOYMENTAGRICULTURAL OUTPUTAGRICULTURAL SECTORAGRICULTURAL SECTORSAGRICULTURAL WORKERSAGRICULTUREAVERAGE HOUSEHOLD INCOMEBASE YEARBASIC FOOD BASKETBENCHMARKBUSINESS CYCLECAPITAL REGIONCHANGES IN POVERTYCHRONICALLY POORCONSUMER PRICE INDEXCONSUMPTION DATACOUNTERFACTUALCRISESDECLINE IN POVERTYDEVELOPING COUNTRIESDEVELOPING COUNTRYDEVELOPING WORLDDEVELOPMENT RESEARCHDISTRIBUTIONAL CHANGESDISTRIBUTIONAL EFFECTSDISTRIBUTIONAL IMPACTDOMESTIC CREDITDRIVERSECONOMETRICSECONOMIC CONDITIONSECONOMIC GROWTHECONOMIC LITERATUREECONOMIC POLICIESECONOMIC POLICYECONOMIC SECTORSECONOMICSECONOMICS LETTERSELASTICITYEMPLOYMENT GROWTHEMPLOYMENT OPPORTUNITIESEMPLOYMENT STATUSERROR TERMSEXPORTSFINANCIAL CRISISFISCAL POLICIESFOOD BASKETFOOD ITEMSFOOD PRICEFOOD PRICESGDPGINI COEFFICIENTGROWTH IMPACTGROWTH PROJECTIONSGROWTH RATEGROWTH RATESHIGH GROWTHHOUSEHOLD DATAHOUSEHOLD HEADHOUSEHOLD HEAD AGEHOUSEHOLD HEADSHOUSEHOLD INCOMEHOUSEHOLD INCOMESHOUSEHOLD SIZEHOUSEHOLD SURVEYHOUSEHOLD SURVEYSHOUSEHOLD VULNERABILITYHUMAN DEVELOPMENTIMPACT ON POVERTYINCIDENCE OF POVERTYINCOMEINCOME DISTRIBUTIONINCOME DISTRIBUTIONSINCOME GROUPSINCOME INEQUALITYINCOME LEVELSINCOME POVERTYINCOME SHOCKSINEQUALITYINEQUALITY FALLSINFLATION RATEINFORMAL EMPLOYMENTLABOR DEMANDLABOR FORCELABOR FORCE PARTICIPATIONLABOR MARKETLABOR MARKETSLABOR SUPPLYLAND OWNERSHIPMACROECONOMIC POLICIESMACROECONOMIC SHOCKSMICRO DATAOPEN UNEMPLOYMENTOUTPUT GROWTHOUTPUTSPER CAPITA INCOMEPOLICY MAKERSPOLICY OPTIONSPOLICY PERSPECTIVEPOLICY REFORMSPOLICY RESEARCHPOLITICAL ECONOMYPOLITICAL ECONOMY IMPLICATIONSPOORPOOR HOUSEHOLDSPOOR PEOPLEPOOR REGIONSPOORER GROUPSPOVERTY ASSESSMENTPOVERTY DATAPOVERTY GAPPOVERTY HEADCOUNT RATEPOVERTY HEADCOUNT RATESPOVERTY IMPACTPOVERTY LINEPOVERTY LINESPOVERTY MEASURESPOVERTY POVERTYPOVERTY RATESPOVERTY REDUCTIONPRIMARY EDUCATIONPUBLIC EMPLOYMENTPUBLIC INVESTMENTPUBLIC POLICIESPUBLIC POLICYPUBLIC PROGRAMSPUBLIC SECTORREAL GDPREAL WAGESREASSIGNMENTREDUCTION IN POVERTYREGIONAL DISTRIBUTIONREGIONAL DUMMIESREGIONAL GAPSREGIONAL GROWTHREGIONAL VARIATIONRELATIVE IMPORTANCERELATIVE INEQUALITYRELATIVE PRICESRURALRURAL AREASRURAL HOUSEHOLDRURAL HOUSEHOLD INCOMERURAL HOUSEHOLDSRURAL POVERTYRURAL POVERTY RATERURAL POVERTY RATESSAFETYSAFETY NETSAFETY NET PROGRAMSSECTORAL COMPOSITIONSIGNIFICANT FACTORSIGNIFICANT IMPACTSOCIAL SECURITYSPATIAL DIFFERENCESUNEMPLOYEDUNEMPLOYMENTURBAN AREASURBAN POORURBAN POVERTYURBAN REGIONURBAN REGIONSURBAN WORKERSURBANIZED REGIONSVULNERABLE GROUPSVULNERABLE HOUSEHOLDSWELFARE IMPACTWorld Bank10.1596/1813-9450-5286