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dc.contributor.authorAugsburg, Brittaen_US
dc.date.accessioned2012-10-01T12:53:23Z-
dc.date.available2012-10-01T12:53:23Z-
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/10419/64584-
dc.description.abstractThis report provides an in-depth description of the first wave of household data collected for a randomised field experiment to measure the impact of microcredit on poverty reduction among poor rural women in Mongolia. The experiment consists of two 'treatments': a group lending product with group responsibility (so-called 'joint liability') and an individual loan product. In a previous report (Attanasio et al, 2008) we detailed the background information to the project, the partner institutions involved, the randomisation methodology, loan products, and outcome variables of interest. In this report, we analyse the data collected from the first wave (the baseline). We provide descriptive statistics relating to our sample along a wide range of dimensions such as education choices, assets, savings, debt, income, enterprises, consumption and transfers. The analysis of this population is of interest in its own right and gives a first snapshot of the target population which is not available from existing data sources. We show formal comparisons of these characteristics between treatment and control groups, an important test of how well the randomisation actually worked, and thus a crucial pre-requisite against which the program will be evaluated in around a year's time.en_US
dc.language.isoengen_US
dc.publisherInst. of Fiscal Studies Londonen_US
dc.relation.ispartofseriesIFS Reports, Institute for Fiscal Studiesen_US
dc.subject.ddc330en_US
dc.titleMeasuring the impact of microfinance on poor rural women in Mongolia: A randomised field experiment on group-lending versus individual lending ; baseline reporten_US
dc.typeResearch Reporten_US
dc.identifier.ppn726101451en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:IFS Reports, Institute for Fiscal Studies (IFS)

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