IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v170y2007i4p891-908.html
   My bibliography  Save this article

Combining census and registration data to estimate detailed elderly migration flows in England and Wales

Author

Listed:
  • James Raymer
  • Guy Abel
  • Peter W. F. Smith

Abstract

Summary. A log‐linear model is developed to estimate detailed elderly migration flows by combining data from the 2001 UK census and National Health Services patient register. After showing that the census and National Health Service migration flows can be reasonably combined, elderly migration flows between groupings of local authority districts by age, sex and health status for the 2000–2001 and 2003–2004 periods are estimated and then analysed to show how the patterns have changed. By combining registration data with census data, we can provide recent estimates of detailed elderly migration flows, which can be used for improvements in social planning or policy.

Suggested Citation

  • James Raymer & Guy Abel & Peter W. F. Smith, 2007. "Combining census and registration data to estimate detailed elderly migration flows in England and Wales," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 891-908, October.
  • Handle: RePEc:bla:jorssa:v:170:y:2007:i:4:p:891-908
    DOI: 10.1111/j.1467-985X.2007.00490.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-985X.2007.00490.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-985X.2007.00490.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James Raymer & Andrei Rogers, 2007. "Using age and spatial flow structures in the indirect estimation of migration streams," Demography, Springer;Population Association of America (PAA), vol. 44(2), pages 199-223, May.
    2. Karen Smith Conway & Andrew J. Houtenville, 2003. "Out with the Old, In with the Old: A Closer Look at Younger Versus Older Elderly Migration," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 309-328, June.
    3. James Raymer, 2007. "The Estimation of International Migration Flows: A General Technique Focused on the Origin-Destination Association Structure," Environment and Planning A, , vol. 39(4), pages 985-995, April.
    4. Andrei Rogers & James Raymer & K. Bruce Newbold, 2003. "Reconciling and translating migration data collected over time intervals of differing widths," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(4), pages 581-601, December.
    5. P H Rees, 1977. "The Measurement of Migration, from Census Data and other Sources," Environment and Planning A, , vol. 9(3), pages 247-272, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter W. F. Smith & James Raymer & Corrado Giulietti, 2010. "Combining available migration data in England to study economic activity flows over time," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 733-753, October.
    2. L. B. Karachurina, 2020. "Attractiveness of Centers and Secondary Cities of Regions for Internal Migrants in Russia," Regional Research of Russia, Springer, vol. 10(3), pages 352-359, July.
    3. Stefan Jestl & Mathias Moser & Anna Katharina Raggl, 2021. "Cannot keep up with the Joneses: how relative deprivation pushes internal migration in Austria," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 49(2), pages 210-231, November.
    4. L. B. Karachurina & K. A. Ivanova, 2019. "Migration of the Elderly Population in Russia (According to the 2010 Population Census)," Regional Research of Russia, Springer, vol. 9(2), pages 164-172, April.
    5. Martin Bell & Dominic Brown, 2014. "Analysing spatial interactions: inter-regional migration flows," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 19, pages 403-435, Edward Elgar Publishing.
    6. Dilek Yildiz & Jo Munson & Agnese Vitali & Ramine Tinati & Jennifer A. Holland, 2017. "Using Twitter data for demographic research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(46), pages 1477-1514.
    7. Guy J. Abel, 2015. "Estimates of Global Bilateral Migration Flows by Gender Between 1960 and 2010," VID Working Papers 1505, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    8. Liubov Antosik & Natalya Ivashina, 2021. "Factors and Routes of Interregional Migration of University Graduates in Russia," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 107-125.
    9. Julyan Arbel & Vianney Costemalle, 2016. "Estimation des flux d’immigration : réconciliation de deux sources par une approche bayésienne," Économie et Statistique, Programme National Persée, vol. 483(1), pages 121-149.
    10. Антосик Л. В. & Ивашина Н. В., 2021. "Факторы И Направления Межрегиональной Миграции Выпускников Вузов В России," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 107-125.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter W. F. Smith & James Raymer & Corrado Giulietti, 2010. "Combining available migration data in England to study economic activity flows over time," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 733-753, October.
    2. Saltz, Ira S. & Capener, Don, 2016. "60 Years Later and Still Going Strong: The Continued Relevance of the Tiebout Hypothesis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).
    3. Fredrik Carlsen & Stefan Leknes, 2022. "For whom are cities good places to live?," Regional Studies, Taylor & Francis Journals, vol. 56(12), pages 2177-2190, December.
    4. Fúquene-Patiño Jairo & Cristancho César & Ospina Mariana & Gonzalez Domingo Morales, 2021. "Fay-Herriot Model-Based Prediction Alternatives for Estimating Households with Emigrated Members," Journal of Official Statistics, Sciendo, vol. 37(3), pages 771-789, September.
    5. Richard Cebula & Usha Nair-Reichert, 2015. "Erratum to: Access to Higher Public Education and Location Choices of Undocumented Migrants: An Exploratory Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 21(3), pages 335-345, August.
    6. Das, Biswa R. & Rainey, Daniel V. & Miller, Wayne P., 2009. "Spatial Variability of Economic Impacts: Examining a Hypothetical Retiree In-migration Policy," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 39(1), pages 1-14.
    7. Cécile Détang‐Dessendre & Florence Goffette‐Nagot & Virginie Piguet, 2008. "Life Cycle And Migration To Urban And Rural Areas: Estimation Of A Mixed Logit Model On French Data," Journal of Regional Science, Wiley Blackwell, vol. 48(4), pages 789-824, October.
    8. Karen Smith Conway & Jonathan C. Rork, 2016. "How Has Elderly Migration Changed in the Twenty-First Century? What the Data Can—and Cannot—Tell Us," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1011-1025, August.
    9. Cordera, Rubén & Sañudo, Roberto & dell’Olio, Luigi & Ibeas, Ángel, 2018. "Trip distribution model for regional railway services considering spatial effects between stations," Transport Policy, Elsevier, vol. 67(C), pages 77-84.
    10. Mark Gius, 2011. "The effect of income taxes on interstate migration: an analysis by age and race," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(1), pages 205-218, February.
    11. Cécile Détang-Dessendre & Florence Goffette-Nagot & Virginie Piguet, 2004. "Life-cycle position and migration to urban and rural areas: estimations of a mixed logit model on French data," Working Papers 0403, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    12. Bernard Baffour & James Raymer, 2019. "Estimating multiregional survivorship probabilities for sparse data: An application to immigrant populations in Australia, 1981–2011," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(18), pages 463-502.
    13. Alm, James & Enami, Ali, 2017. "Do government subsidies to low-income individuals affect interstate migration? Evidence from the Massachusetts Health Care Reform," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 119-131.
    14. Lee Fiorio & Emilio Zagheni & Guy L. Abel & Johnathan Hill & Gabriel Pestre & Emmanuel Letouzé & Jixuan Cai, 2020. "Analyzing the effect of time in migration measurement using geo-referenced digital trace data," MPIDR Working Papers WP-2020-024, Max Planck Institute for Demographic Research, Rostock, Germany.
    15. Kentaro Nakajima & Takatoshi Tabuchi, 2011. "Estimating Interregional Utility Differentials," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 31-46, February.
    16. Ludo Peeters, 2011. "Controlling For Heterogeneity And Asymmetry In Cross-Section Gravity Models Of Aggregate Migration: Evidence From Mexico," ERSA conference papers ersa10p329, European Regional Science Association.
    17. Vitanov, Nikolay K. & Vitanov, Kaloyan N., 2018. "Discrete-time model for a motion of substance in a channel of a network with application to channels of human migration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 635-650.
    18. Jaewon Lim, 2017. "Out-migration from the epicenters of the housing bubble burst during and in the aftermath of the Great Recession in the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 297-319, September.
    19. Farnham, Martin & Sevak, Purvi, 2006. "State fiscal institutions and empty-nest migration: Are Tiebout voters hobbled?," Journal of Public Economics, Elsevier, vol. 90(3), pages 407-427, February.
    20. Richard J. Cebula & Mpaza Kapembwa & Usha Nair‐Reichert, 2021. "Location choices of undocumented migrants: Does access to higher public education matter?," Growth and Change, Wiley Blackwell, vol. 52(1), pages 167-194, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssa:v:170:y:2007:i:4:p:891-908. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.