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Organised by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford, will be held at Oxford Department of International Development, in Oxford, England, 16-27 July 2018.
The purpose of this intensive Summer School is to provide a thorough technical and practical introduction to multidimensional poverty measurement with a strong emphasis on the Alkire-Foster method. Upon completing the course, students will have the skills required to construct and analyse an official national multidimensional poverty measure and to describe its policy relevance. Drawing on Amartya Sen’s capability approach and empirical examples of National and Global Multidimensional Poverty Indices (MPIs), the conceptual and empirical motivation for measuring multidimensional poverty will be presented, as well as the full suite of measurement tools including estimation, dimensional breakdown, disaggregation by population subgroup, standard errors and statistical inference, robustness, communications, policy applications, and so on.
The summer school is led by OPHI Director Sabina Alkire and the OPHI team, including Fedora Carbajal, Mihika Chatterjee, Adriana Conconi, James Foster, Usha Kanagaratnam, Rebeca Kritsch, Bilal Malaeb, Corinne Mitchell, Juliana Milovich, Ricardo Nogales, Christian Oldiges, Monica Pinilla, Nicolai Suppa and Ana Vaz.
The Summer School will consist of 10.5 days of instruction and working group sessions, taught in English. Each participant needs to bring a laptop with Stata to do the problem sets. Throughout the Summer School, participants will be actively involved in discussions and working through problem sets. The main course is appropriate for academics, staff of national statistics offices, international agencies, and others focused on measurement.
Research sub-stream. A small stream of acadmic participants will, in addition, present their research in progress on multidimensional poverty to one another and one or two instructors. If you would like to do this, please indicate on the application form and submit a working paper.
The course runs from Monday 16 July 2018 to Friday 27 July 2018, with a final exam on Saturday 28 July 2018 (non-compulsory). The Summer School will be held at the Oxford Department of International Development, Queen Elizabeth House (QEH), University of Oxford.
The course fee is as follows:
In addition, participants will need to pay for accommodation, travel fares and cost of the Stata software if they do not already use it. Additionally, please note a UK visa may need to be applied for and obtained at the participant’s cost.
The Summer School is addressed to those who are working on, or actively interested in gaining skills in, multidimensional poverty measurement, particularly professional staff of national offices of statistics and government ministries that deal with poverty reduction, professionals from international development institutions, academics, and doctoral students. Applicants who are currently pursuing work on measurement are also welcome. Other applicants who have a demonstrated research interest in empirical analysis in these topics will be considered on the basis of their experience and space availability.
A demonstrable knowledge of Stata is an essential pre-requisite for attending the course. Every attendant to the Summer School will need to have Stata 10 or higher installed on their laptop. The software will not be provided by the Summer School. A strong knowledge in quantitative methods (e.g. econometrics or statistics, etc.) and a strong interest in poverty measurement and analysis are highly desirable.
Limited financial support may be available. Competition for any financial support will be very strong. However, well qualified and committed applicants with financial need are strongly encouraged to apply. Applicants are highly encouraged to seek support from their local governments and institutions. Program committee would be happy to provide support letters for these funding applications to accepted candidates.
To apply, please complete the online application form and submit a current curriculum vitae, sample Stata .do file and a sample of written work. Applicants who would like to be considered for an opportunity to present their research in progress must submit a working paper. The application process is competitive; applications will be considered on the basis of the information provided in their application.
For more information click "LINK TO ORIGINAL" below.
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