IDEAS home Printed from https://ideas.repec.org/p/fip/c00003/97314.html
   My bibliography  Save this paper

The Influence of Population Characteristics on the Labor Force Participation Rates of Fourth District States

Author

Listed:
  • Joel Elvery

Abstract

The labor force participation rates of the Fourth District are lower than the nation’s. Fourth District states’ older populations and higher disability rates are key reasons for lower participation rates relative to the nation.

Suggested Citation

  • Joel Elvery, 2023. "The Influence of Population Characteristics on the Labor Force Participation Rates of Fourth District States," Cleveland Fed District Data Brief 97314, Federal Reserve Bank of Cleveland.
  • Handle: RePEc:fip:c00003:97314
    DOI: 10.26509/frbc-ddb-20231115
    as

    Download full text from publisher

    File URL: https://doi.org/10.26509/frbc-ddb-20231115
    File Function: Persistent Link
    Download Restriction: no

    File URL: https://www.clevelandfed.org/-/media/project/clevelandfedtenant/clevelandfedsite/publications/cleveland-fed-district-data-briefs/cfddb-20231115-labor-force-participation-rates/cfddb20231115-labor-force-participation-rates.pdf
    File Function: Full Text
    Download Restriction: no

    File URL: https://libkey.io/10.26509/frbc-ddb-20231115?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. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    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. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    2. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo, vol. 61(1), pages 202-238.
    3. Ashwini Deshpande & Rajesh Ramachandran, 2013. "How Backward are the Other Backward Classes? Changing Contours of Caste Disadvantage in India," Working Papers id:5422, eSocialSciences.
    4. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    5. Cowan, Benjamin & Schwab, Benjamin, 2016. "Employer-sponsored health insurance and the gender wage gap," Journal of Health Economics, Elsevier, vol. 45(C), pages 103-114.
    6. Derek Headey & David Stifel & Liangzhi You & Zhe Guo, 2018. "Remoteness, urbanization, and child nutrition in sub‐Saharan Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 765-775, November.
    7. Bethelhem Legesse Debela, 2017. "Factors Affecting Differences in Livestock Asset Ownership Between Male- and Female-Headed Households in Northern Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(2), pages 328-347, April.
    8. Daniel A. Dias & Carlos Robalo Marques & Christine Richmond, 2020. "A Tale of Two Sectors: Why is Misallocation Higher in Services than in Manufacturing?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 361-393, June.
    9. Kilic, Talip & Palacios-López, Amparo & Goldstein, Markus, 2015. "Caught in a Productivity Trap: A Distributional Perspective on Gender Differences in Malawian Agriculture," World Development, Elsevier, vol. 70(C), pages 416-463.
    10. Brahim Boudarbat & Marie Connolly, 2013. "The gender wage gap among recent post‐secondary graduates in Canada: a distributional approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(3), pages 1037-1065, August.
    11. Adam Pilny, 2017. "Explaining Differentials in Subsidy Levels Among Hospital Ownership Types in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 566-581, May.
    12. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    13. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    14. Bachmann, Ronald & Martinez Flores, Fernanda & Rulff, Christian, 2022. "Die Lohnlücke in der Zeitarbeit: Eine empirische Analyse auf Grundlage von BA-Daten und der Verdienststrukturerhebung," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 262219.
    15. Sánchez-Jabba, Andrés Mauricio, 2014. "Etnia y rendimiento académico en Colombia," Chapters, in: Sánchez Jabba, Andrés & Otero Cortés, Andrea (ed.), Educación y desarrollo regional en Colombia, chapter 2, pages 59-100, Banco de la Republica de Colombia.
    16. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
    17. Anna Manzoni & Jessi Streib, 2019. "The Equalizing Power of a College Degree for First-Generation College Students: Disparities Across Institutions, Majors, and Achievement Levels," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(5), pages 577-605, August.
    18. Ggombe Kasim Munyegera & Akampumuza Precious, 2018. "The gender gap in firm productivity in Rwanda: Evidence from establishment and household enterprise data," WIDER Working Paper Series wp-2018-100, World Institute for Development Economic Research (UNU-WIDER).
    19. Azam Mehtabul & Han Luyi, 2020. "Accounting for Differences in Female Labor Force Participation between China and India," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-17, April.
    20. Vassilis Monastiriotis & Angelo Martelli, 2021. "Crisis, Adjustment and Resilience in the Greek Labor Market: An Unemployment Decomposition Approach," International Regional Science Review, , vol. 44(1), pages 85-112, January.

    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:fip:c00003:97314. 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: Joanne O'Dell (email available below). General contact details of provider: https://edirc.repec.org/data/frbclus.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.