Britta Augsburg

Dr Britta Augsburg

Senior Research Economist

Education:

PhD Social Protection Policy, University of Maastricht, 2008
Masters in Econometrics (Doctorandus in Econometrie), University of Maastricht, 2002
Propedeuse in Econometrics, University of Maastricht, 2000

Britta Augsburg is a Senior Research Economist in the development sector of the Institute for Fiscal Studies, the Centre for the Evaluation of Development Policies (EDePo), and an affiliated researcher at the United Nations University-Merit in Maastricht, the Netherlands. Her research concentrates on understanding the effectiveness of programs and policies that tackle constraints to productivity of poverty affected individuals and households, with a particular focus on credit and technology adoption constraints. She has worked on a number of studies related to microfinance and particularly the effectiveness of this financial tool in achieving improved outcomes for the intended beneficiaries. At present, a large part of her project portfolio focuses on sanitation technology – understanding information and financial constraints to uptake at the demand as well as the supply side. To this end, she is managing a number of large scale sanitation impact evaluation projects, primarily randomized field experiments, in India and Nigeria.

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Subjective Expectations and Income Processes in Rural India

| Journal Articles

This paper uses unique primary data on directly elicited individual subjective expectations to analyse and characterize the process that generates the income of poor, rural Indian households. We validate and use responses to subjective expectations questions and a parametric assumption to fit a household-specific probability distribution for future income. Combining computed moments from this distribution with data for actual current income, we specify and estimate a dynamic model of household income. We find that our households face a very persistent income process. Our paper is one of the first that uses subjective expectations data to model income processes.

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