Oxford Poverty and Human Development Initiative
by Oxford University
Podcasts of lectures and seminars held at the Oxford Poverty and Human Development Initiative (OPHI), a research centre within the University of Oxford’s Department of International Development. OPHI aims to build and advance a more systematic methodological and economic framework for reducing multidimensional poverty, grounded in people’s experiences and values.
Episodes
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Robust pro-poorest poverty reduction with counting measures: the anonymous case
The talk explores conditions under which a poverty reduction experience is robustly more “pro-poor” than another one, in the context of counting measures of multidimensional poverty
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Multidimensional poverty and inequality
The talk focuses on the Global Multidimensional Poverty Index (MPI) 2014 results for Africa
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Multidimensional poverty measurement for EU-SILC countries
The talk seeks to illustrate the kinds of analyses that could be possible by implementing an AF methodology using limited variables across cross-sectional EU-SILC data from the period 2006-2012.
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Multidimensional poverty and inclusive growth in India: An analysis using growth elasticities
The talk explores why India has higher economic growth than neighbours, growth in MPI is has been much slower by examining three types of inclusiveness and elasticities to study responsiveness
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The Art, the (Social) Science and the Politics of Building State Capability for Implementation
The talk addresses an apparent paradox between development indicators that seem to be improving and measures of institutional quality that are flat or declining
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Understanding later life from a multidimensional perspective
Proposes a Multidimensional Life Balance Index that measures the overall achievement of individuals across recommended daily activity domains for successful ageing outcomes
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An empirical exploration of the “Shame of poverty” for Chile in 2009
A psychometric analysis of the 2009 Chilean dataset on shame proneness and the stigma to poverty
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Introduction to Oxford Poverty & Human Development Initiative (OPHI)
Dr. Sabina Alkire provides a brief overview of OPHI's work on multidimensional poverty and the missing dimensions of poverty.
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Discovery of Women
Professor Amartya Sen delivers a Distinguished Public Lecture on 'Discovery of Women', at Oxford. On 6 June 2013, the Oxford Poverty and Human Development Initiative (OPHI) was delighted to host a Distinguished Public Lecture by our advisor Amartya Sen, Nobel laureate in Economics and Professor…
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Stephan Klasen describes key findings of Dynamic Comparison workshop
Stephan Klasen describe key findings of Dynamic Comparison workshop.
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Frances Stewart describes key findings of Dynamic Comparison workshop
Frances Stewart describes key findings of Dynamic Comparison workshop.
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Milorad Kovacevic describes key findings of Dynamic Comparison workshop
Milorad Kovacevic describe key findings of Dynamic Comparison workshop.
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Economics: Poised to Change?
First panel discussion on 'Economics and the Idea of Justice'. Discussing questions such as Do we need a new economic framework? And should economics change fundamentally in light of the financial crisis?
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Weaknesses of the Current System
Second panel discussion on 'Economics and the Idea of Justice'. Discussing questions such as do we need a new economic framework? And should economics change fundamentally in light of the financial crisis?
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The Political Economy of Change
Third and final panel discussion on 'Economics and The Idea of Justice'. Discussing questions such as do we need a new economic framework?And should economics change fundamentally in light of the financial crisis?
About this show
Podcasts of lectures and seminars held at the Oxford Poverty and Human Development Initiative (OPHI), a research centre within the University of Oxford’s Department of International Development. OPHI aims to build and advance a more systematic methodological and economic framework for reducing multidimensional poverty, grounded in people’s experiences and values.
Hosted by
Oxford University
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