Abstract

 
 

References (74)



 
 

Citations (8)



 


 



Quasi-Experimental and Experimental Approaches to Environmental Economics


Michael Greenstone


Massachusetts Institute of Technology (MIT) - Department of Economics; National Bureau of Economic Research (NBER)

Ted Gayer


Brookings Institution

July 1, 2007

RFF Discussion Paper No. 07-22

Abstract:     
This paper argues that an increased application of quasi-experimental and experimental techniques will improve understanding about core environmental economics questions. This argument is supported by a review of the limitations of associational evidence in assessing causal hypotheses. The paper also discusses the benefits of experiments and quasi-experiments, outlines some quasi-experimental methods, and highlights some threats to their validity. It then illustrates the quasi-experimental method by assessing the validity of a new one in environmental economics that seeks to estimate the impact of the Endangered Species Act on property markets in North Carolina. Ultimately, the greater application of experimental and quasi-experimental techniques has the potential to identify efficient policies that increase social welfare.

Number of Pages in PDF File: 60

working papers series


Download This Paper

Date posted: July 21, 2007 ; Last revised: November 9, 2008

Suggested Citation

Greenstone, Michael and Gayer, Ted, Quasi-Experimental and Experimental Approaches to Environmental Economics (July 1, 2007). RFF Discussion Paper No. 07-22. Available at SSRN: http://ssrn.com/abstract=1001330 or http://dx.doi.org/10.2139/ssrn.1001330

Contact Information

Michael Greenstone (Contact Author)
Massachusetts Institute of Technology (MIT) - Department of Economics ( email )
50 Memorial Drive
E52-391
Cambridge, MA 02142
United States
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Ted Gayer
Brookings Institution
1775 Massachusetts Ave, NW
Washington, DC 20036
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 2,796
Downloads: 816
Download Rank: 12,763
References:  74
Citations:  8

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo3 in 0.390 seconds