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James Raymer

Australian National University, Australia

IZA World of Labor role

Author

Current position

Professor, School of Demography, The Australian National University, Canberra

Research interest

Demography, geography, migration estimation, dynamic population modeling, migration flows, statistics

Website

http://researchers.anu.edu.au/researchers/raymer-j

Past positions

Lecturer, Reader and Professor of Demography, Division of Social Statistics, University of Southampton, UK, 2004–2012; Research Assistant, Population Program, Institute of Behavioral Science, University of Colorado, Boulder, USA, 1997–2003; Teaching Assistant, Department of Geography, University of Colorado, Boulder, USA, 1997–2003

Qualifications

PhD Geography, The University of Colorado, Boulder, 2004

Selected publications

  • "Integrated modeling of European migration." Journal of the American Statistical Association 108:503 (2013) 801–819 (with A. Wisniowski, J. J. Forster, P. W. F. Smith, and J. Bijak).

  • "International migration under the microscope: Fragmented research and limited data must be addressed." Science 352:6288 (2016) 897–899 (with F. Willekens, D. Massey, and C. Beuchemin).

  • "Integrated modelling of age and sex patterns of European migration." Journal of the Royal Statistical Society Series A (Statistics in Society) 179:4 (2016) 1007–1024 (with A. Wisniowski, J. J. Forster, P. W. F. Smith, and J. Bijak).

  • "Analysing and projecting Indigenous migration in Australia." Applied Spatial Analysis and Policy DOI 10.1007/s12061–015–9179–6 (with N. Biddle and P. Campbell).

  • "Frameworks for guiding the development and improvement of population statistics in the United Kingdom." Journal of Official Statistics 31:4 (2015) 699–722 (with P. Rees and A. Blake).

article(s)

  • Measuring flows of international migration

    Consistent measures of migration are needed to understand patterns and impacts on labor market outcomes

    James Raymer, April 2017
    International migration alters the socio-economic conditions of the individuals and families migrating as well as the host and sending countries. The data to study and to track these movements, however, are largely inadequate or missing. Understanding the reasons for these data limitations and recently developed methods for overcoming them is crucial for implementing effective policies. Improving the available information on global migration patterns will result in numerous and wide-ranging benefits, including improved population estimations and providing a clearer picture of why certain migrants choose certain destinations.
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