IDEAS home Printed from https://ideas.repec.org/f/pra1053.html
   My authors  Follow this author

Azadeh Rahimi

Personal Details

First Name:Azadeh
Middle Name:
Last Name:Rahimi
Suffix:
RePEc Short-ID:pra1053
[This author has chosen not to make the email address public]

Affiliation

Département d'Économie / Department of Economics
Université d'Ottawa / University of Ottawa

Ottawa, Canada
http://www.socialsciences.uottawa.ca/eco/

(613) 562-5753
(613) 562-5999
PO Box 450, Station A, Ottawa, Ontario, K1N 6N5
RePEc:edi:deottca (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Azadeh Rahimi & Ba M. Chu & Marc Lavoie, 2017. "Linear and Non-Linear Granger Causality Between Short-Term and Long-Term Interest Rates: A Rolling Window Strategy," Metroeconomica, Wiley Blackwell, vol. 68(4), pages 882-902, November.
  2. Azadeh Rahimi & Marc Lavoie & Ba Chu, 2016. "Linear and nonlinear Granger-causality between short-term and long-term interest rates during business cycles," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 714-728, November.

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.

Articles

  1. Azadeh Rahimi & Ba M. Chu & Marc Lavoie, 2017. "Linear and Non-Linear Granger Causality Between Short-Term and Long-Term Interest Rates: A Rolling Window Strategy," Metroeconomica, Wiley Blackwell, vol. 68(4), pages 882-902, November.

    Cited by:

    1. Rahimi , Azadeh, 2019. "The Endogenous or Exogenous Nature of Money Supply: Case of Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(1), pages 27-40, January.
    2. Levrero, Enrico Sergio & Deleidi, Matteo, 2019. "The causal relationship between short- and long-term interest rates: an empirical assessment of the United States," MPRA Paper 93608, University Library of Munich, Germany.

  2. Azadeh Rahimi & Marc Lavoie & Ba Chu, 2016. "Linear and nonlinear Granger-causality between short-term and long-term interest rates during business cycles," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 714-728, November.

    Cited by:

    1. Gözde YILDIRIM, Zafer ADALI, 2018. "Linear and Non-Linear Causality Tests of Stock Price and Real Exchange Rate Interactions in Turkey," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    2. Levrero, Enrico Sergio & Deleidi, Matteo, 2019. "The causal relationship between short- and long-term interest rates: an empirical assessment of the United States," MPRA Paper 93608, University Library of Munich, Germany.

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, Azadeh Rahimi 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.