IDEAS home Printed from https://ideas.repec.org/f/pka1384.html
   My authors  Follow this author

Robert Jay Kahn

Personal Details

First Name:Robert
Middle Name:Jay
Last Name:Kahn
Suffix:
RePEc Short-ID:pka1384
http://j-kahn.com
Twitter: @jstatistic

Affiliation

Office of Financial Research
Department of the Treasury
Government of the United States

Washington, District of Columbia (United States)
http://www.treasury.gov/initiatives/ofr/Pages/default.aspx

202-622-2000
202-622-6415
202-622-2000
RePEc:edi:ofrgvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Daniel Barth & Jay Kahn, 2020. "Basis Trades and Treasury Market Illiquidity," Briefs 20-01, Office of Financial Research, US Department of the Treasury.

Articles

  1. Santiago Bazdresch & R. Jay Kahn & Toni M. Whited, 2018. "Estimating and Testing Dynamic Corporate Finance Models," Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 322-361.
  2. R Kahn & Toni M Whited, 2018. "Identification Is Not Causality, and Vice Versa," Review of Corporate Finance Studies, Oxford University Press, vol. 7(1), pages 1-21.
  3. Kahn, R. Jay & Whited, Toni M., 2016. "Identification with Models and Exogenous Data Variation," Foundations and Trends(R) in Accounting, now publishers, vol. 10(2-4), pages 361-375, August.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Santiago Bazdresch & R. Jay Kahn & Toni M. Whited, 2018. "Estimating and Testing Dynamic Corporate Finance Models," Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 322-361.

    Cited by:

    1. Stephen Terry & Anastasia Zakolyukina & Toni Whited, 2018. "Information Distortion, R&D, and Growth," 2018 Meeting Papers 217, Society for Economic Dynamics.
    2. Oh, Hyunseung & Yoon, Chamna, 2020. "Time to build and the real-options channel of residential investment," Journal of Financial Economics, Elsevier, vol. 135(1), pages 255-269.
    3. Moreira, Alan & Muir, Tyler, 2019. "Should Long-Term Investors Time Volatility?," Journal of Financial Economics, Elsevier, vol. 131(3), pages 507-527.
    4. Babarinde rene ADEROMOU & Mahmoudou Bocar SALL, 2019. "The Minority investor protection and corporate governance practices," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 10(2), pages 102-117, December.
    5. Roberto Steri & Lukas Schmid & Boris Nikolov, 2017. "Dynamic Financial Constraints: Which Frictions Matter for Corporate Policies?," 2017 Meeting Papers 630, Society for Economic Dynamics.
    6. Ryan Michaels & T Beau Page & Toni M Whited, 2019. "Labor and Capital Dynamics under Financing Frictions," Review of Finance, European Finance Association, vol. 23(2), pages 279-323.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Robert Jay Kahn should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.