P
Pramila Krishnan
Researcher at University of Oxford
Publications - 63
Citations - 2723
Pramila Krishnan is an academic researcher from University of Oxford. The author has contributed to research in topics: Consumption (economics) & Poverty. The author has an hindex of 21, co-authored 61 publications receiving 2535 citations. Previous affiliations of Pramila Krishnan include St Antony's College & University of Cambridge.
Papers
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In Sickness and in Health: Risk Sharing within Households in Rural Ethiopia
Stefan Dercon,Pramila Krishnan +1 more
TL;DR: In this paper, the authors focus on the ability of individual households as a unit to protect their consumption, while the literature on consumption smoothing and risk sharing has focused on individual consumers' ability to do so.
Posted Content
Changes in Poverty in Rural Ethiopia 1989-1995: Measurement, Robustness Tests and Decomposition
Stefan Dercon,Pramila Krishnan +1 more
TL;DR: In this article, the authors focus on testing the robustness of measured changes in poverty to these common problems, using household panel data collected in rural Ethiopia in 1989, 1994 and 1995: in particular, they implement a simple graphical technique for assessing the impact of uncertainty in measured inflation rates.
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Poverty and productivity in female-headed households in Zimbabwe
Sara Horrell,Pramila Krishnan +1 more
TL;DR: In this article, a household survey conducted in rural Zimbabwe in 2001 is used to compare the position of de facto and de jure female-headed households to those with a male head.
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The Gender Wage Gap in Three African Countries
TL;DR: In this article, the authors examined the size and determinants of the gender wage gap in Ethiopia Uganda and the Ivory Coast using Oaxaca and Neumark methods, including decomposition of wage differences and sector decomposition by gender.
Posted Content
School Inputs, Household Substitution, and Test Scores
Jishnu Das,Stefan Dercon,James Habyarimana,Pramila Krishnan,Karthik Muralidharan,Venkatesh Sundararaman +5 more
TL;DR: In this paper, a dynamic household optimization model was proposed to measure household spending changes and student test score gains in response to unanticipated as well as anticipated changes in school funding in two very different low-income country settings.