IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/139043.html

Mobility and marriage: preliminary findings from a new longitudinal dataset of Canadian women, 1871-1901

Author

Listed:
  • Antonie, Luiza
  • Foxcroft, Jeremy
  • Inwood, Kris
  • Minns, Chris
  • Summerfield, Fraser
  • Zhu, Tianning

Abstract

This article develops a methodology to create a longitudinal historical database of women by linking Ontario marriage records 1859-1938 to complete count Canadian census data between 1871 and 1921. We assess link quality using tests that provide insight into the trade-offs between sample size and allowing more potential false positives into the universe of accepted links. The results of these tests provide guidance on practical considerations in large-scale linkage projects with historical data. We use the linked data to construct the first historical estimates of female intergenerational mobility for Canada. The findings suggest that married women in Ontario had similar rates of intergenerational mobility as their male counterparts. We find little evidence that the inclusion of more likely false positive links leads to a bias in the estimation of intergenerational mobility.

Suggested Citation

  • Antonie, Luiza & Foxcroft, Jeremy & Inwood, Kris & Minns, Chris & Summerfield, Fraser & Zhu, Tianning, 2026. "Mobility and marriage: preliminary findings from a new longitudinal dataset of Canadian women, 1871-1901," LSE Research Online Documents on Economics 139043, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:139043
    as

    Download full text from publisher

    File URL: https://researchonline.lse.ac.uk/id/eprint/139043/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Laura Chadwick & Gary Solon, 2002. "Intergenerational Income Mobility Among Daughters," American Economic Review, American Economic Association, vol. 92(1), pages 335-344, March.
    2. Joseph Price & Kasey Buckles & Jacob Van Leeuwen & Isaac Riley, 2019. "Combining Family History and Machine Learning to Link Historical Records," NBER Working Papers 26227, National Bureau of Economic Research, Inc.
    3. Jonas Helgertz & Joseph Price & Jacob Wellington & Kelly J Thompson & Steven Ruggles & Catherine A. Fitch, 2022. "A new strategy for linking U.S. historical censuses: A case study for the IPUMS multigenerational longitudinal panel," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 55(1), pages 12-29, January.
    4. Saavedra, Martin & Twinam, Tate, 2020. "A machine learning approach to improving occupational income scores," Explorations in Economic History, Elsevier, vol. 75(C).
    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. Chong Lu, 2022. "The effect of migration on rural residents’ intergenerational subjective social status mobility in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3279-3308, October.
    2. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    3. Azam Mehtabul, 2016. "Intergenerational Educational Persistence among Daughters: Evidence from India," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(4), pages 1-16, October.
    4. Luís Clemente-Casinhas & Luís Filipe Martins & Alexandra Ferreira-Lopes, 2025. "Using Survey Data to Estimate Intergenerational Mobility in Income and Education in Portugal," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 176(1), pages 51-106, January.
    5. Liss, Erik & Korpi, Martin & Wennberg, Karl, 2023. "Absolute income mobility and the effect of parent generation inequality: An extended decomposition approach," European Economic Review, Elsevier, vol. 152(C).
    6. Javier Cortés Orihuela & Juan D. Díaz & Pablo Gutiérrez Cubillos & Pablo A. Troncoso & Gabriel I. Villarroel, 2024. "Intergenerational earnings mobility in Chile: the tale of the upper tail," Empirical Economics, Springer, vol. 67(5), pages 2411-2447, November.
    7. Postel, Hannah M., 2023. "Record linkage for character-based surnames: Evidence from chinese exclusion," Explorations in Economic History, Elsevier, vol. 87(C).
    8. Monique de Haan & Magnus Stubhaug, 2024. "The causal component in the intergenerational transmission of income," Tinbergen Institute Discussion Papers 24-063/V, Tinbergen Institute.
    9. Maia Güell & José V. Rodríguez Mora & Christopher I. Telmer, 2014. "Intergenerational Mobility and the Informational Content of Surnames," Working Papers 2014-01, FEDEA.
    10. Lo, Simon M.S., 2025. "A family investment model for intergenerational elasticity," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
    11. Bhashkar Mazumder, 2018. "Intergenerational Mobility in the United States: What We Have Learned from the PSID," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 213-234, November.
    12. Gary Solon, 2002. "Cross-Country Differences in Intergenerational Earnings Mobility," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 59-66, Summer.
    13. Daniel D. Schnitzlein, 2008. "Verbunden über Generationen: Struktur und Ausmaß der intergenerationalen Einkommensmobilität in Deutschland," SOEPpapers on Multidisciplinary Panel Data Research 80, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. Bingley, Paul & Cappellari, Lorenzo & Tatsiramos, Konstantinos, 2022. "Parental assortative mating and the intergenerational transmission of human capital," Labour Economics, Elsevier, vol. 77(C).
    15. Driouchi, Ahmed & Gamar, Alae, 2016. "The Gap between Educational & Social Intergenerational Mobility in Arab Countries," MPRA Paper 73998, University Library of Munich, Germany.
    16. Adnan, Wifag & Zhang, Jonathan & Zheng, Angela, 2023. "Intergenerational Mobility of Immigrants by Refugee Status: An Analysis of Linked Landing Files and Tax Records," IZA Discussion Papers 16471, IZA Network @ LISER.
    17. Valerie Michelman & Joseph Price & Seth D Zimmerman, 2022. "Old Boys’ Clubs and Upward Mobility Among the Educational Elite [Do Immigrants Assimilate More Slowly Today Than in the Past?]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(2), pages 845-909.
    18. He Zhu & Tsunehiro OTSUKI, 2018. "Can Two Consecutive Generations’ Data Predict Longterm Intergenerational Transition? Evidence from China with three generations," OSIPP Discussion Paper 18E004, Osaka School of International Public Policy, Osaka University.
    19. Escamilla Guerrero, David & Lepistö, Miko & Minns, Chris, 2022. "Explaining gender differences in migrant sorting: evidence from Canada-US migration," Economic History Working Papers 117260, London School of Economics and Political Science, Department of Economic History.
    20. repec:ces:ceswps:_11729 is not listed on IDEAS
    21. Collins, William J., 2021. "The Great Migration of Black Americans from the US South: A guide and interpretation," Explorations in Economic History, Elsevier, vol. 80(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • N31 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - U.S.; Canada: Pre-1913
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    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:ehl:lserod:139043. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.