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

Do production subsidies have a wage incidence in wind power?

  • Dakshina G. De Silva
  • Robert P. McComb
  • Anita R. Schiller

Employment in electricity generation from renewable resources has expanded rapidly in the US and in Texas during the last decade. Availability of the Production Tax Credit (PTC) has been an important driver of this growth. Using establishment-level employment and payroll data for Texas at the North American Industrial Classification System (NAICS)-6 level, we analyse the differences in average wages between firms generating electricity from fossil fuels and those generating electricity from wind power. We compare relative average wages before and after the rapid expansion of wind power development that followed the ex ante renewal of the PTC in 2006. Our main finding using both the parametric and nonparametric estimation techniques proposed by Racine and Li (2004), is that average payrolls for wind power generators increased relative to fossil fuel-based electricity generators after 2006.

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://hdl.handle.net/10.1080/00036846.2012.741679
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 45 (2013)
Issue (Month): 28 (October)
Pages: 3963-3972

as
in new window

Handle: RePEc:taf:applec:v:45:y:2013:i:28:p:3963-3972
Contact details of provider: Web page: http://www.tandfonline.com/RAEC20

Order Information: Web: http://www.tandfonline.com/pricing/journal/RAEC20

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. Wiji Arulampalam & Michael P Devereux & Giorgia Maffini, 2007. "The Direct Incidence of Corporate Income Tax on Wages," Working Papers 0707, Oxford University Centre for Business Taxation.
  2. Dube, Andrajit & Lester, T. William & Reich, Michael, 2010. "Minimum Wage Effects Across State Borders: Estimates Using Contiguous Counties," Institute for Research on Labor and Employment, Working Paper Series qt86w5m90m, Institute of Industrial Relations, UC Berkeley.
  3. Addison, John T. & Blackburn, McKinley L. & Cotti, Chad D., 2009. "Do minimum wages raise employment? Evidence from the U.S. retail-trade sector," Labour Economics, Elsevier, vol. 16(4), pages 397-408, August.
  4. Wiser, Ryan & Bolinger, Mark & Barbose, Galen, 2007. "Using the Federal Production Tax Credit to Build a Durable Market for Wind Power in the United States," The Electricity Journal, Elsevier, vol. 20(9), pages 77-88, November.
  5. Arindrajit Dube & Suresh Naidu & Michael Reich, 2007. "The Economic Effects of a Citywide Minimum Wage," ILR Review, Cornell University, ILR School, vol. 60(4), pages 522-543, July.
  6. Arindrajit Dube & Suresh Naidu & Michael Reich, 2007. "The Economic Effects of a Citywide Minimum Wage," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 60(4), pages 522-543, July.
  7. Grund, B., 1993. "Kernel Estimators for Cell Probabilities," Journal of Multivariate Analysis, Elsevier, vol. 46(2), pages 283-308, August.
  8. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-in-Differences Estimates?," The Quarterly Journal of Economics, MIT Press, vol. 119(1), pages 249-275, February.
  9. Dakshina G. De Silva & Robert P. McComb & Young-Kyu Moh & Anita R. Schiller & Andres J. Vargas, 2010. "The Effect of Migration on Wages: Evidence from a Natural Experiment," American Economic Review, American Economic Association, vol. 100(2), pages 321-26, May.
  10. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
  11. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-38, 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:taf:applec:v:45:y:2013:i:28:p:3963-3972. 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: (Michael McNulty)

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.