ORCID Profile
0000-0003-4900-3571
Current Organisations
Florida International University
,
University of Nottingham
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Publisher: Springer Science and Business Media LLC
Date: 2010
Publisher: Elsevier BV
Date: 04-2021
Publisher: Oxford University Press (OUP)
Date: 03-2022
DOI: 10.1111/RSSC.12532
Abstract: Identifying the most deprived regions of any country or city is key if policy makers are to design successful interventions. However, locating areas with the greatest need is often surprisingly challenging in developing countries. Due to the logistical challenges of traditional household surveying, official statistics can be slow to be updated estimates that exist can be coarse, a consequence of prohibitive costs and poor infrastructures and mass urbanization can render manually surveyed figures rapidly out-of-date. Comparative judgement models, such as the Bradley–Terry model, offer a promising solution. Leveraging local knowledge, elicited via comparisons of different areas’ affluence, such models can both simplify logistics and circumvent biases inherent to household surveys. Yet widespread adoption remains limited, due to the large amount of data existing approaches still require. We address this via development of a novel Bayesian Spatial Bradley–Terry model, which substantially decreases the number of comparisons required for effective inference. This model integrates a network representation of the city or country, along with assumptions of spatial smoothness that allow deprivation in one area to be informed by neighbouring areas. We demonstrate the practical effectiveness of this method, through a novel comparative judgement data set collected in Dar es Salaam, Tanzania.
Publisher: Oxford University Press (OUP)
Date: 27-09-2017
DOI: 10.1093/JXB/ERX300
Publisher: Springer Science and Business Media LLC
Date: 10-2008
Publisher: Elsevier BV
Date: 11-2010
Publisher: Informa UK Limited
Date: 30-03-2020
Publisher: Oxford University Press (OUP)
Date: 11-11-2008
Publisher: Informa UK Limited
Date: 06-2007
Publisher: Elsevier BV
Date: 02-2014
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2007
End Date: 2012
Funder: Biotechnology and Biological Sciences Research Council
View Funded ActivityStart Date: 2013
End Date: 2016
Funder: Engineering and Physical Sciences Research Council
View Funded Activity