IHM
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8th July 2014
Oiling the relationship between evidence and policy: prioritising data quality and integrity
LSE’s recent JSRP conference on politics and evidence in international development highlighted problems inherent in the ways ‘evidence’ tends to be defined and used in mainstream development discourse and practice. How can Evidence for Development’s individual household method (IHM) and current involvement in the ‘Assessing Rural Transformations’ project inform the discussion and help to oil […]
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15th April 2014
Aid impact assessment and agricultural change: Researching ‘good enough’ qualitative approaches
Using public money to reduce global poverty is a tough enough ‘task’ even without having to account for each pound spent every five minutes. But aid professionals can hardly claim to be less susceptible to self-serving group-think than anyone else, and indeed the case for strong reality checks on aid expenditure will remain particularly strong […]
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22nd January 2014
For richer, for poorer… inequality curves now look similar in the UK and rural Africa
Idly scanning the pages of the Observer on Sunday morning, this graphic caught my eye in Will Hutton’s article about inequality in Britain. Evidence for Development has a large collection of individual household income data from some of the poorest countries in Africa, and Hutton’s chart on wealth inequality in the UK reminded me […]
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8th December 2013
Helping to rebuild communities in northern Uganda
You might remember all the attention last year on stopping Joseph Kony and the LRA. For the past two weeks I’ve been with Self Help Africa (SHA) in a region of northern Uganda that was severely affected by the conflict – in many villages, a whole generation of young adults are missing – and there […]
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Improving smallholder farmers’ livelihoods through mango production and marketing project baseline IHM assessment, Salima, Malawi (2013)
The purpose of the baseline survey was to provide information that will assist in the monitoring and evaluation of Mango projects implemented by Self Help Africa (SHA) in partnership with ANAMARC in Salima District, Malawi. The study used the Individual Household Method (IHM) for data collection and data analysis and included four whole village surveys, randomly selected for the assessment.
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Modeling the effects of maize price increases on rural household welfare [MA thesis, Stella Ngoleka] (2013)
The cases of Mtimaukanena in Dowa and Masumbankhunda in Lilongwe, Malawi
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The cost of illness on agricultural production of rural households [MA thesis, Lauryn Khangamwa] (2010)
The case of Teuka village, Zomba District