Kotikula, AphichokeNarayan, AmbarZaman, Hassan2014-09-022014-09-022010-02https://hdl.handle.net/10986/19913The poor in Bangladesh are more likely to belong to households with a larger number of dependents and lower education among household members, be engaged in daily wage labor, own little land, and be less likely to receive remittances. This poverty profile for 2005 is similar to the profile in the mid-1980s and hence at first glance it would appear that little has changed over time. A closer look at national household survey data suggests a more nuanced story. This paper uses the latest two rounds of the Bangladesh Household Income and Expenditure Survey to decompose the micro-determinants of poverty reduction between 2000 and 2005, closely following a similar analysis using five earlier rounds of the Survey. The comparison of results shows that the spatial distribution of poverty seen in earlier decades has changed with time and the drivers of poverty reduction are different in several respects.en-USCC BY 3.0 IGOACCESS TO FINANCEACCESS TO HOUSEHOLDACCESS TO INFRASTRUCTUREACCESS TO MARKETACCESS TO MARKETSACCESS TO SANITATIONACCESS TO SANITATION FACILITIESAGRICULTURAL LANDAGRICULTURAL SECTORSAGRICULTURAL SELF-EMPLOYMENTAGRICULTURAL WAGEAGRICULTURAL WAGE EMPLOYMENTAGRICULTURAL WAGE LABORANTI-POVERTYCHANGES IN POVERTYCOMMUNITY LEVELCOMMUNITY SURVEYCONSUMPTION PER CAPITACONSUMPTION POVERTYCORRELATES OF POVERTYCREDIT ACCESSCREDIT PROGRAMSDAILY WAGEDECLINE IN POVERTYDECOMPOSITION METHODOLOGYDEMOGRAPHIC CHARACTERISTICSDETERMINANTS OF POVERTYDEVELOPMENT FINANCEDIMENSIONS OF POVERTYDISTRICT LEVELDRIVERS OF POVERTY REDUCTIONEARNINGSECONOMIC CHARACTERISTICSECONOMIC DEVELOPMENTECONOMIC GROWTHECONOMIES OF SCALEEDUCATION LEVELEDUCATION LEVELSENDOWMENTSEXPENDITUREEXPENDITURESEXTREME POVERTYFAMILIESFARM ENTERPRISESFARM SECTORFARMERFEMALE-HEADED HOUSEHOLDSGENDERGEOGRAPHIC DISTRIBUTION OF POVERTYGEOGRAPHIC LOCATIONHEADCOUNT RATEHOUSEHOLD CONSUMPTIONHOUSEHOLD DEMOGRAPHICSHOUSEHOLD HEADHOUSEHOLD HEADSHOUSEHOLD INCOMEHOUSEHOLD LEVELHOUSEHOLD SIZEHOUSEHOLD SURVEYHOUSEHOLD SURVEY DATAHOUSEHOLD WELFAREHOUSEHOLDS WITH ELECTRICITYHOUSINGHUMAN CAPITALIMPACT ON POVERTYIMPACT ON POVERTY REDUCTIONINCIDENCE OF POVERTYINCOME SHOCKSINEQUALITYINTERNATIONAL BANKLAGGING REGIONSLAND DISTRIBUTIONLAND OWNERSHIPLAND SIZELANDLESS HOUSEHOLDSLATRINELIVESTOCK OWNERSHIPMARRIED WOMENMFISMICRO FINANCEMICRO-CREDITMICRO-FINANCEMICRO-FINANCE ACCESSMICROCREDITMICROFINANCENATIONAL LEVELNATIONAL POVERTYNATIONAL POVERTY RATEPER CAPITA CONSUMPTIONPOLITICAL ECONOMYPOORPOOR AREASPOOR HOUSEHOLDPOOR HOUSEHOLDSPOOR PEOPLEPOORER HOUSEHOLDSPOPULATION CENSUSPOVERTY ASSESSMENTPOVERTY GAPPOVERTY HEADCOUNT RATESPOVERTY INCIDENCEPOVERTY LINEPOVERTY PROFILEPOVERTY PROGRAMSPOVERTY RATEPOVERTY RATESPOVERTY REDUCTIONPOVERTY STATUSRECEIPTREDUCTION IN POVERTYREGIONAL DISPARITIESREGIONAL DISPARITYREGIONAL INEQUALITYREGIONAL SCIENCEREMITTANCESRURALRURAL AREASRURAL COMMUNITIESRURAL HOUSEHOLDRURAL HOUSEHOLDSRURAL POVERTYRURAL POVERTY REDUCTIONSANITATIONSELF EMPLOYMENTSMALL ENTERPRISESSMALL LANDOWNERSSPATIAL DIMENSIONSSPATIAL DIMENSIONS OF POVERTYSPATIAL DISTRIBUTIONSPATIAL DISTRIBUTION OF POVERTYSTATUS OF WOMENTARGETINGURBAN AREAURBAN AREAS10.1596/1813-9450-5199