IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/cwp11-24.html

Inference for rank-rank regressions

Author

Listed:
  • Denis Chetverikov

    (Institute for Fiscal Studies)

  • Daniel Wilhelm

    (Institute for Fiscal Studies)

Abstract

No abstract is available for this item.

Suggested Citation

  • Denis Chetverikov & Daniel Wilhelm, 2024. "Inference for rank-rank regressions," IFS Working Papers WCWP11/24, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:cwp11/24
    as

    Download full text from publisher

    File URL: https://ifs.org.uk/sites/default/files/2024-05/CWP1124-Inference-for-rank-rank-regressions.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Klein & Tommy Wright & Jerzy Wieczorek, 2020. "A joint confidence region for an overall ranking of populations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(3), pages 589-606, June.
    2. Petra Ornstein & Johan Lyhagen, 2016. "Asymptotic Properties of Spearman’s Rank Correlation for Variables with Finite Support," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-7, January.
    3. Sam Asher & Paul Novosad & Charlie Rafkin, 2024. "Intergenerational Mobility in India: New Measures and Estimates across Time and Social Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 16(2), pages 66-98, April.
    4. Borkowf, Craig B., 2002. "Computing the nonnull asymptotic variance and the asymptotic relative efficiency of Spearman's rank correlation," Computational Statistics & Data Analysis, Elsevier, vol. 39(3), pages 271-286, May.
    5. Raj Chetty & John N. Friedman & Nathaniel Hendren & Maggie R. Jones & Sonya R. Porter, 2018. "The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility," NBER Working Papers 25147, National Bureau of Economic Research, Inc.
    6. Hans Grönqvist & J. Peter Nilsson & Per-Olof Robling, 2020. "Understanding How Low Levels of Early Lead Exposure Affect Children’s Life Trajectories," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3376-3433.
    7. Bazylik, Sergei & Mogstad, Magne & Romano, Joseph P. & Shaikh, Azeem M. & Wilhelm, Daniel, 2025. "Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties," Journal of Econometrics, Elsevier, vol. 250(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. Denis Chetverikov & Daniel Wilhelm, 2023. "Inference for rank-rank regressions," IFS Working Papers WCWP23/23, Institute for Fiscal Studies.
    2. Denis Chetverikov & Daniel Wilhelm, 2023. "Inference for Rank-Rank Regressions," Papers 2310.15512, arXiv.org, revised Jul 2025.
    3. Magne Mogstad & Joseph P Romano & Azeem M Shaikh & Daniel Wilhelm, 2024. "Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 476-518.
    4. Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023. "A Comment on: “Invidious Comparisons: Ranking and Selection as Compound Decisions” by Jiaying Gu and Roger Koenker," Econometrica, Econometric Society, vol. 91(1), pages 53-60, January.
    5. Denis Chetverikov & Daniel Wilhelm, 2023. "Inference for rank-rank regressions," CeMMAP working papers 23/23, Institute for Fiscal Studies.
    6. Peter Leopold S. Bergman & Eric W. Chan & Adam Kapor, 2020. "Housing Search Frictions: Evidence from Detailed Search Data and a Field Experiment," CESifo Working Paper Series 8080, CESifo.
    7. John Gathergood & Fabian Gunzinger & Benedict Guttman-Kenney & Edika Quispe-Torreblanca & Neil Stewart, 2020. "Levelling Down and the COVID-19 Lockdowns: Uneven Regional Recovery in UK Consumer Spending," Papers 2012.09336, arXiv.org, revised Dec 2020.
    8. Nathaniel Baum-Snow & Daniel Hartley & Kwan Ok Lee, 2019. "The Long-Run Effects of Neighborhood Change on Incumbent Families," Working Paper Series WP-2019-2, Federal Reserve Bank of Chicago.
    9. repec:osf:socarx:nkydt_v1 is not listed on IDEAS
    10. Kristoffer Berg & Mr. Shafik Hebous, 2021. "Does a Wealth Tax Improve Equality of Opportunity? Evidence from Norway," IMF Working Papers 2021/085, International Monetary Fund.
    11. Francis Wong, 2024. "Taxing Homeowners Who Won’t Borrow," CESifo Working Paper Series 11185, CESifo.
    12. Erin Cottle Hunt & Frank N. Caliendo, 2022. "Social security and risk sharing: A survey of four decades of economic analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1591-1609, December.
    13. Xinxin Wang & Shidan Xu & Yubo Zhuo & Julian Chun-Chung Chow, 2023. "Higher Income but Lower Happiness with Left-Behind Experience? A Study of Long-Term Effects for China’s Migrants," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 411-434, February.
    14. Lihua Lei, 2024. "Causal Interpretation of Regressions With Ranks," Papers 2406.05548, arXiv.org.
    15. Abbasi, Ali & DiTraglia, Francis J. & Gazze, Ludovica & Pals, Bridget, 2023. "Hidden hazards and screening policy: Predicting undetected lead exposure in Illinois," Journal of Health Economics, Elsevier, vol. 90(C).
    16. Steven Stillman & Mirco Tonin, 2022. "Communities and testing for COVID-19," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 617-625, June.
    17. Higney, Anthony & Hanley, Nick & Moro, Mirko, 2022. "The lead-crime hypothesis: A meta-analysis," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    18. Christophe Croux & Catherine Dehon, 2010. "Influence functions of the Spearman and Kendall correlation measures," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(4), pages 497-515, November.
    19. Christopher R. Walters, 2024. "Empirical Bayes Methods in Labor Economics," NBER Working Papers 33091, National Bureau of Economic Research, Inc.
    20. Sotiris Kampanelis & Aldo Elizalde, 2024. "Lynching and economic opportunities: Evidence from the US South," Kyklos, Wiley Blackwell, vol. 77(4), pages 977-1003, November.
    21. Hiwatari, Masato & Yamada, Daichi & Narita, Daiju & Hangoma, Peter & Chitah, Bona, 2024. "Toxic pollution and poverty: Economic impacts of lead (Pb) exposure on household welfare in Zambia," Ecological Economics, Elsevier, vol. 221(C).

    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:ifs:ifsewp:cwp11/24. 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: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.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.