Models of Migration: Observations and Judgements

Willekens, Frans

doi:10.1002/9780470985557.ch6

Cited by 8 publications

(5 citation statements)

References 52 publications

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“…More recently, the research literature has defined a migration event as “a change in the place of usual residence, which also involves crossing a recognized political/administrative border” [ 29 ]. In practice, this usually involves specifying a temporal dimension and a spatial dimension [ 30 , 31 ]. The temporal dimension indicates some fixed length of time in which an individual must remain in a location for residency to be established; the spatial dimension typically involves crossing international or internal administrative boundaries [ 32 ].…”

Section: Background and Related Workmentioning

confidence: 99%

A general approach to detecting migration events in digital trace data

2020

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Empirical research on migration has historically been fraught with measurement challenges. Recently, the increasing ubiquity of digital trace data-from mobile phones, social media, and related sources of 'big data'-has created new opportunities for the quantitative analysis of migration. However, most existing work relies on relatively ad hoc methods for inferring migration. Here, we develop and validate a novel and general approach to detecting migration events in trace data. We benchmark this method using two different trace datasets: four years of mobile phone metadata from a single country's monopoly operator, and three years of geo-tagged Twitter data. The novel measures more accurately reflect human understanding and evaluation of migration events, and further provide more granular insight into migration spells and types than what are captured in standard survey instruments.

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Section: Background and Related Workmentioning

confidence: 99%

A general approach to detecting migration events in digital trace data

2020

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“…The log-linear model is a member of the family of generalized linear models (GLM). For an introduction to the Poisson model and other probability models of migration, see, for example, Willekens (2008Willekens ( , 2016a. For applications of Poisson regression models in estimations of true unknown migration flows in Europe, see Abel (2010), Raymer et al (2013) andWis ´niowski et al (2013).…”

Section: Modelling Migrationmentioning

confidence: 99%

Evidence-Based Monitoring of International Migration Flows in Europe

Willekens

2019

Journal of Official Statistics

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In Europe, the monitoring and management of migration flows are high on the political agenda. Evidence-based monitoring calls for adequate data, which do not exist. The sources of data on international migration differ significantly between countries in Europe and the initiatives to improve data collection and produce comparable data, including new legislation, did not yield the expected outcome. Scientists have developed statistical models that combine quantitative and qualitative data from different sources to derive at estimates of migration flows that account for differences in definition, undercoverage, undercount and other measurement problems. Official statisticians are reluctant to substitute estimates for measurements. This article reviews the progress made over the last decades and the challenges that remain. It concludes with several recommendations for better international migration data/estimates. They range from improved cooperation between actors to innovation in data collection and modelling.

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“…The gravity model can be written as a log‐linear model:

ln ([], ξ_{ij} ((), x)) = u + u_{i}^{O} + u_{j}^{D} + u_{ij}^{OD},

where u is the overall effect,

u_{i}^{O}

is the effect associated with origin i ,

u_{j}^{D}

is the effect associated with destination j , and

u_{ij}^{OD}

is the interaction effect between origin and destination. For a review of spatial interaction models of migration, refer to Willekens () and Rogers, Little, and Raymer (). The gravity model can also be extended to include other geographic factors besides distance that influence migration flows, for example, area‐specific unit sizes, socio‐economic factors, contiguity, and population density.…”

Section: Tools For Indirect Estimation In Spatial Demographymentioning

confidence: 99%

Spatial demography: A unifying core and agenda for further research

Raymer

Willekens

Rogers

2018

Population Space and Place

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With increases in the availability of geo‐referenced data, there has been a push for developing better methods to study demographic processes across space. This paper reviews the recent developments in “spatial demography” and argues that an important aspect has been neglected, namely, the focus on the dynamics and interactions of population change across space, which is an area that should be central to the field. Frameworks for analysing spatial demography were first proposed in multiregional demography. This paper revisits these methods and then describes how methods developed by geographers, economists, and other social scientists for analysing spatial data may be better integrated to study spatial population dynamics.

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Models of Migration: Observations and Judgements

Cited by 8 publications

References 52 publications

A general approach to detecting migration events in digital trace data

A general approach to detecting migration events in digital trace data

Evidence-Based Monitoring of International Migration Flows in Europe

Spatial demography: A unifying core and agenda for further research

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