Oxford Poverty & Human Development Initiative

Oxford Department of International Development

Queen Elizabeth House, University of Oxford

Research

OPHI research aims to contribute to an integrated poverty reduction framework grounded in Amartya Sen’s capability approach and similar ideas. This framework incorporates multiple dimensions of poverty and wellbeing simultaneously, recognizing that these are interconnected, to inform policy-making, foster debate and contribute to the literature.

OPHI research is categorised by two main themes:

Multidimensional Poverty, Wellbeing and Inequality. OPHI develops and applies new methodologies for measuring multidimensional poverty, chronic poverty, wellbeing and inequality. For example, OPHI developed a highly intuitive and user-friendly class of multidimensional poverty measures, which can be used for targeting social protection,  monitoring and for measuring poverty.

The Missing Dimensions of Poverty Data. OPHI has developed brief survey modules for five ‘missing dimensions’ of poverty data that appear important to deprived people but have been overlooked in large scale survey work to date. These modules are: Quality of work, Empowerment, Physical safety, Without shame and Psychological wellbeing.

Alongside these main themes, OPHI works on a range of topics, including capabilities and inequality, and of different disciplines; economics, political economy, philosophy, among others.

OPHI also advances research through intensive, workshops where prospective methodologies are presented and critically assessed by a combination of eminent and junior scholars. Collaborative research involving partnering with local organizations and governments also takes place to assist poverty measurement and inform policy-making.


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Latest

At Davos, why is no one talking about the poor? TIME magazine article on how the perspective of the poor is missing from the World Economic Forum discussions Read more

New paper on measurement errors and multidimensional poverty New OPHI Working Paper by Cesar Calvo and Fernando Fernandez, Universidad de Piura, Peru, looks at measurement errors in multidimensional poverty estimates. Read more

Paper on measuring corruption forthcoming in World Bank Economic Review "An Axiomatic Approach to the Measurement of Corruption: Theory and Applications" (OPHI Working Paper 29) by James Foster, Andrew W. Horowitz and Fabio Méndez is to be published in leading economic journal. Read more

Article by Sabina Alkire published by AFD and EUDN A new volume 'Measure for Measure: How Well Do We Measure Development?' features an article by OPHI's Director entitled ‘Multidimensional Poverty and its Discontents’. Read more

Latest Publications

Measurement Errors and Multidimensional Poverty Data measurement errors can cause an upward bias in unidimensional poverty estimates and thus mislead both conceptual and empirical discussions. This paper expands the analysis to the case of multidimensional poverty. It finds that the dual cut-off strategy used by the Alkire-Foster measure typically attenuates this bias. Empirical evidence from Peru supports this attenuation effect. Read more

On the Possibility of Measuring Freedom: A Kantian Perspective More than three decades after Sen's first formulation of the so-called "capability approach", practitioners have yet to measure a capability set. This paper explores the valuable insights Kantian philosophy may offer in dealing with this problem. Read more

Events

Highlighted Events

The Gross National Happiness Index of Bhutan on 06 Feb 2012, 13:00

Measurement Error in the Multidimensional Poverty Index (MPI) on 27 Feb 2012, 13:00