Household poverty classification in data-scarce environments: a machine learning approach

18 Nov 2017Varun KshirsagarJerzy WieczorekSharada RamanathanRachel Wells

We describe a method to identify poor households in data-scarce countries by leveraging information contained in nationally representative household surveys. It employs standard statistical learning techniques---cross-validation and parameter regularization---which together reduce the extent to which the model is over-fitted to match the idiosyncracies of observed survey data... (read more)

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