2013
DOI: 10.1007/s11111-013-0186-8
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Forecasting environmental migration to the United Kingdom: an exploration using Bayesian models

Abstract: Over the next fifty years the potential impact on human livelihoods of environmental change could be considerable. One possible response may be increased levels of human mobility. This paper offers a first quantification of the levels of environmental migration to the United Kingdom that might be expected. The authors apply Bijak and Wiśniowski's (2010) methodology for forecasting migration using Bayesian models. They seek to advance the conceptual understanding of forecasting in three ways. First, the paper i… Show more

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Cited by 22 publications
(22 citation statements)
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References 31 publications
(30 reference statements)
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“…In (Raftery et al 2012;Bryant and Graham 2013;Wiśniowski et al 2015) and migration (e.g., Bijak 2011;Abel et al 2013). In fertility studies these , ,...,…”
Section: Hurdle Zero-truncated Poisson Model With Bayesian Approachmentioning
confidence: 99%
“…In (Raftery et al 2012;Bryant and Graham 2013;Wiśniowski et al 2015) and migration (e.g., Bijak 2011;Abel et al 2013). In fertility studies these , ,...,…”
Section: Hurdle Zero-truncated Poisson Model With Bayesian Approachmentioning
confidence: 99%
“…(), as well as recent applications of the Delphi survey for migration modelling and forecasting in Bijak and Wiśniowski (), Abel et al . (), Raymer et al . (), and Wiśniowski et al .…”
Section: Methodsmentioning
confidence: 95%
“…It was aided by an online Multidisciplinary Assessment of Technology Centre for Healthcare (MATCH) Uncertainty Elicitation Tool (Morris et al, 2014). The questionnaire was designed following the general advice on elicitation given by Kadane and Wolfson (1998), O'Hagan (1998), and O'Hagan et al (2006, as well as recent applications of the Delphi survey for migration modelling and forecasting in Bijak and Wiśniowski (2010), Abel et al (2013), Raymer et al (2013), and Wiśniowski et al (2013).…”
Section: Expert Knowledge Elicitationmentioning
confidence: 99%
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