IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v38y2018i59.html
   My bibliography  Save this article

The effects of family and location on wealth: A longitudinal study of the US North, 1850–1870

Author

Listed:
  • Alice Kasakoff

    (University of South Carolina)

  • Andrew Lawson

    (Medical University of South Carolina)

  • Purbasha Dasgupta

    (United Way of Central Indiana)

  • Michael DuBois

    (York County (South Carolina) Government)

  • Stephen Feetham

    (University of South Carolina)

Abstract

Background: Family effects can be confounded with spatial effects, since family members live near each other. Objective: Our aim is to find out whether a father’s wealth was related to his son’s wealth when spatial effects are included in the model. The data is from the United States from 1850 to 1870. Since the data comes from genealogies we are also able to test for deeper family effects lasting several generations. Methods: This article uses Bayesian longitudinal methods that incorporate spatial effects. The data comes from the genealogies of nine New England families that have been linked to the US censuses of 1850, 1860, and 1870, which had information on real property, the dependent variable in our analysis. Results: No relationship was found between the wealth of the father and his sons in our data, nor were the deeper family effects significant. Spatial effects were also not significant. However, there was a strong temporal effect: Men were wealthier in 1860 than they were in 1850 or 1870. Conclusions: There is evidence of economic mobility in a rapidly expanding population and economy such as the United States was during the 19th century. Since temporal effects were more important than spatial effects the amount of mobility might be transitory and highly dependent upon the particular time period and cohort being studied. Contribution: The article illustrates the usefulness of methods that include spatial effects for the study of economic mobility, particularly in studies of family effects, and the importance of including both spatial and temporal effects when analyzing economic mobility.

Suggested Citation

  • Alice Kasakoff & Andrew Lawson & Purbasha Dasgupta & Michael DuBois & Stephen Feetham, 2018. "The effects of family and location on wealth: A longitudinal study of the US North, 1850–1870," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(59), pages 1815-1842.
  • Handle: RePEc:dem:demres:v:38:y:2018:i:59
    DOI: 10.4054/DemRes.2018.38.59
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol38/59/38-59.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/DemRes.2018.38.59?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. 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.
    2. Steckel, Richard H. & Moehling, Carolyn M., 2001. "Rising Inequality: Trends In The Distribution Of Wealth In Industrializing New England," The Journal of Economic History, Cambridge University Press, vol. 61(1), pages 160-183, March.
    3. Solon, Gary, 1999. "Intergenerational mobility in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 29, pages 1761-1800, Elsevier.
    4. Larry A. Sjaastad, 1970. "The Costs and Returns of Human Migration," Palgrave Macmillan Books, in: Harry W. Richardson (ed.), Regional Economics, chapter 9, pages 115-133, Palgrave Macmillan.
    5. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    6. Gary Solon & Mary Corcoran & GRoger Gordon & Deborah Laren, 1991. "A Longitudinal Analysis of Sibling Correlations in Economic Status," Journal of Human Resources, University of Wisconsin Press, vol. 26(3), pages 509-534.
    7. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    8. Jaremski, Matthew, 2014. "National Banking's Role in U.S. Industrialization, 1850–1900," The Journal of Economic History, Cambridge University Press, vol. 74(1), pages 109-140, March.
    9. Alice Kasakoff & Andrew Lawson & Emily Van Meter, 2014. "A Bayesian analysis of the spatial concentration of individual wealth in the US North during the nineteenth century," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(36), pages 1035-1074.
    10. Solon, Gary, 1992. "Intergenerational Income Mobility in the United States," American Economic Review, American Economic Association, vol. 82(3), pages 393-408, June.
    11. Robert Mare, 2011. "A Multigenerational View of Inequality," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 1-23, February.
    12. Kearl, J R & Pope, Clayne L, 1986. "Unobservable Family and Individual Contributions to the Distributionsof Income and Wealth," Journal of Labor Economics, University of Chicago Press, vol. 4(3), pages 48-79, July.
    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. Markus Jäntti & Stephen P. Jenkins, 2013. "Income Mobility," SOEPpapers on Multidisciplinary Panel Data Research 607, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Jens Ruhose, 2015. "Microeconometric Analyses on Economic Consequences of Selective Migration," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 61.
    3. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Salamanca, Nicolás & Zhu, Anna, 2022. "Intergenerational disadvantage: Learning about equal opportunity from social assistance receipt," Labour Economics, Elsevier, vol. 79(C).
    4. Daniel D. Schnitzlein, 2016. "A New Look at Intergenerational Mobility in Germany Compared to the U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(4), pages 650-667, December.
    5. 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.
    6. Schnitzlein, Daniel D., 2014. "How Important Is the Family? Evidence from Sibling Correlations in Permanent Earnings in the USA, Germany, and Denmark," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27(1), pages 69-89.
    7. Maystadt, Jean-François & Migali, Giuseppe, 2021. "The transmission of health across 7 generations in China, 1789–1906," Journal of Health Economics, Elsevier, vol. 79(C).
    8. Kurnaz, Musab & Soytas, Mehmet A., 2019. "Intergenerational Income Mobility and Income Taxation," GLO Discussion Paper Series 409, Global Labor Organization (GLO).
    9. Emran, M. Shahe & Jiang, Hanchen & Shilpi, Forhad, 2021. "Is Gender Destiny? Gender Bias and Intergenerational Educational Mobility in India," MPRA Paper 106793, University Library of Munich, Germany.
    10. Bertha Rohenkohl, 2019. "Intergenerational Income Mobility in the UK:New evidence using the BHPS and Understanding Society," Working Papers 2019017, The University of Sheffield, Department of Economics.
    11. Anqi Yu & Guankun Liu & Yuning Gao, 2022. "Intergenerational Occupational Mobility, Labor Migration and Sustained Demographic Dividends," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    12. Ahsan, Md Nazmul & Emran, M. Shahe & Shilpi, Forhad, 2024. "Complementarities and intergenerational educational mobility: Theory and evidence from Indonesia," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 170-191.
    13. Hsiu-Fen Hsu, 2021. "Intergenerational persistence in latent socioeconomic status: evidence from Taiwan," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 753-772, December.
    14. Alice Kasakoff & Andrew Lawson & Emily Van Meter, 2014. "A Bayesian analysis of the spatial concentration of individual wealth in the US North during the nineteenth century," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(36), pages 1035-1074.
    15. Maia Güell & Michele Pellizzari & Giovanni Pica & José V. Rodríguez Mora, 2018. "Correlating Social Mobility and Economic Outcomes," Economic Journal, Royal Economic Society, vol. 128(612), pages 353-403, July.
    16. M. Shahe Emran & Francisco H. G. Ferreira & Yajing Jiang & Yan Sun, 2023. "Occupational dualism and intergenerational educational mobility in the rural economy: evidence from China and India," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 743-773, September.
    17. Johan Dahlberg, 2013. "Family influence in fertility: A longitudinal analysis of sibling correlations in first birth risk and completed fertility among Swedish men and women," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(9), pages 233-246.
    18. Musab Kurnaz & Mehmet Soytas, 2019. "Early Childhood Investment and Income Taxation," 2019 Meeting Papers 290, Society for Economic Dynamics.
    19. Julia Bredtmann & Nina Smith, 2018. "Inequalities in Educational Outcomes: How Important Is the Family?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1117-1144, December.
    20. French, Eric Baird & O’Dea, Cormac & MacCuish, Jamie, 2021. "The Intergenerational Elasticity of Earnings: Exploring the Mechanisms," CEPR Discussion Papers 15975, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    spatial analysis; longitudinal analysis; inequality; United States of America; family effects; economic mobility;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    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:dem:demres:v:38:y:2018:i:59. 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: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    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.