IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Female parlamentarians and economic growth: Evidence from a large panel

  • Dinuk Jayasuriya

    ()

    (Development Policy Centre, Crawford School of Public Policy, The Australian National University)

  • Paul J. Burke

    ()

    (Arndt-Corden Department of Economics, Australian National University, Canberra, ACT Australia 0200)

This article investigates whether female political representation affects economic growth. Panel estimates for 119 democracies using fixed effects specifications and a system generalized method of moments approach suggest that, over recent decades, countries with higher shares of women in parliament have had faster growing economies.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://papers.ssrn.com/abstract=2066266
Download Restriction: no

Paper provided by Development Policy Centre, Crawford School of Public Policy, The Australian National University in its series Development Policy Centre Discussion Papers with number 1218.

as
in new window

Length:
Date of creation: May 2012
Date of revision:
Handle: RePEc:een:devpol:1218
Contact details of provider: Postal: Crawford Building, Lennox Crossing, Building #132, Canberra ACT 2601
Phone: +61 2 6125 4705
Fax: +61 2 6125 5448
Web page: https://devpolicy.crawford.anu.edu.au/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
  2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
  3. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
  4. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:een:devpol:1218. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Macarena Rojas)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.