IDEAS home Printed from https://ideas.repec.org/p/nsr/escoed/escoe-dp-2020-13.html

Immigration Stocks and Flows, APS and Electoral Register Data

Author

Listed:
  • Augustin de Coulon

  • Richmond Egyei
  • Jonathan Wadsworth

Abstract

The UK relies on survey data (the APS) to produce estimates of its local area immigrant populations at higher frequencies than generated by the decennial Census. All sample surveys come with some level of uncertainty attached to their estimates which can be particularly acute at local area level where sample populations are smaller. We therefore explore whether the local area population counts of immigrants contained in the electoral 'register' (ER) could help improve the accuracy and reliability of published local area migration statistics.

Suggested Citation

  • Augustin de Coulon & Richmond Egyei & Jonathan Wadsworth, 2020. "Immigration Stocks and Flows, APS and Electoral Register Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-13, Economic Statistics Centre of Excellence (ESCoE).
    • Handle: RePEc:nsr:escoed:escoe-dp-2020-13
    as

    Download full text from publisher

    File URL: https://escoe-website.s3.amazonaws.com/wp-content/uploads/2020/08/14134830/ESCoE-DP-2020-13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonathan J. Azose & Adrian E. Raftery, 2019. "Estimation of emigration, return migration, and transit migration between all pairs of countries," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(1), pages 116-122, January.
    2. Cowell, Frank, 2011. "Measuring Inequality," OUP Catalogue, Oxford University Press, edition 3, number 9780199594047.
    3. Tu, Jiong, 2010. "The Effect of Enclave Residence on the Labour Force Activities of Immigrants in Canada," IZA Discussion Papers 4744, IZA Network @ LISER.
    4. Bartel, Ann P, 1989. "Where Do the New U.S. Immigrants Live?," Journal of Labor Economics, University of Chicago Press, vol. 7(4), pages 371-391, October.
    5. Aaberge, Rolf & Mogstad, Magne & Peragine, Vito, 2011. "Measuring long-term inequality of opportunity," Journal of Public Economics, Elsevier, vol. 95(3), pages 193-204.
    Full references (including those not matched with items on IDEAS)

    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. Shweta Bahl & Ajay Sharma, 2021. "Education–Occupation Mismatch and Dispersion in Returns to Education: Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 251-298, January.
    2. Yonatan Berman, 2022. "The Long-Run Evolution of Absolute Intergenerational Mobility," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 61-83, July.
    3. Tatjana Miljkovic & Ying-Ju Chen, 2021. "A new computational approach for estimation of the Gini index based on grouped data," Computational Statistics, Springer, vol. 36(3), pages 2289-2311, September.
    4. Alvaredo, Facundo & Cogneau, Denis & Piketty, Thomas, 2021. "Income inequality under colonial rule. Evidence from French Algeria, Cameroon, Tunisia, and Vietnam and comparisons with British colonies 1920–1960," Journal of Development Economics, Elsevier, vol. 152(C).
    5. Kaltenberg, Mary & Foster-McGregor, Neil, 2020. "The impact of automation on inequality across Europe," MERIT Working Papers 2020-009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Miia Bask & Mikael Bask, 2015. "Cumulative (Dis)Advantage and the Matthew Effect in Life-Course Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-14, November.
    7. Ausloos, Marcel, 2020. "Rank–size law, financial inequality indices and gain concentrations by cyclist teams. The case of a multiple stage bicycle race, like Tour de France," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    8. Enora Belz, 2019. "Estimating Inequality Measures from Quantile Data," Economics Working Paper Archive (University of Rennes & University of Caen) 2019-09, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    9. Anushiya Vijayasivajie & Pundarik Mukhopadhaya & Chris Heaton, 2025. "Inequality of Opportunity in Body Mass: Evidence From Australia," Health Economics, John Wiley & Sons, Ltd., vol. 34(7), pages 1365-1381, July.
    10. Bach, Stefan & Thiemann, Andreas & Zucco, Aline, 2019. "Looking for the missing rich: tracing the top tail of the wealth distribution," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26(6), pages 1234-1258.
    11. Eliazar, Iddo, 2021. "Five degrees of randomness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    12. Mariko I Ito & Hisashi Ohtsuki & Akira Sasaki, 2018. "Emergence of opinion leaders in reference networks," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-21, March.
    13. Michael Albertus & Thomas Brambor & Ricardo Ceneviva, 2018. "Land Inequality and Rural Unrest," Journal of Conflict Resolution, Peace Science Society (International), vol. 62(3), pages 557-596, March.
    14. Pablo A. Mitnik & Anne-Line Helsø & Victoria L. Bryant, 2020. "Inequality of Opportunity for Income in Denmark and the United States: A Comparison Based on Administrative Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 317-382, National Bureau of Economic Research, Inc.
    15. Rolando I. Valdez & Francisco García-Fernández, 2022. "The distribution of wage inequality across municipalities in Mexico: a spatial quantile regression approach," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 669-697, September.
    16. Burauel, Patrick & Caliendo, Marco & Grabka, Markus M. & Obst, Cosima & Preuss, Malte & Schröder, Carsten & Shupe, Cortnie, 2020. "The Impact of the German Minimum Wage on Individual Wages and Monthly Earnings," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 240(2/3), pages 201-231.
    17. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2021. "Extremal points of Lorenz curves and applications to inequality analysis," Papers 2103.03286, arXiv.org.
    18. Mendonça, Sandro & Crespo, Nuno & Simões, Nadia, 2015. "Inequality in the network society: An integrated approach to ICT access, basic skills, and complex capabilities," Telecommunications Policy, Elsevier, vol. 39(3), pages 192-207.
    19. Hongyan Chen & Jinping Song & Huaxiong Jiang, 2023. "Inequity in Housing Welfare: Assessing the Inter-City Performance of China’s Housing Provident Fund Program," Land, MDPI, vol. 12(3), pages 1-17, March.
    20. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf, 2019. "Permutation Tests for Comparing Inequality Measures," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 457-470, July.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nsr:escoed:escoe-dp-2020-13. 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: ESCoE Centre Manager (email available below). General contact details of provider: https://edirc.repec.org/data/escoeuk.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.