The Effectiveness of the Endangered Species Act: A Quantitative Analysis

By Martin F. J. Taylor, Kieran F. Suckling, J. Rachlinski. 2005

220 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/27a22104f07f544ae6f8141c6e27d6df0509d49e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Monica Ospina
2. Liana N. Joseph
3. James E. M. Watson
4. Hugh P. Possingham
5. Paul J. Ferraro
6. Craig McIntosh

In Economics and Econometrics

1. Hugh P. Possingham
2. Monica Ospina
3. James E. M. Watson
4. Paul J. Ferraro
5. Craig McIntosh
6. Sven Wunder
7. S. Engel
8. Katharine R. E. Sims

In Nature and Landscape Conservation

1. Monica Ospina
2. James E. M. Watson
3. Hugh P. Possingham
4. Paul J. Ferraro
5. Craig McIntosh

Citations in the corpus

• The effectiveness of the US endangered species act: An econometric analysis using matching methods (2007, methodology): “[40] use logistic regression to examine the effect of the number of years listed on the likelihood that a species has been declared to be recovering or declining by the FWS in the 1990s.”
• Trends and biases in the listing and recovery planning for threatened species: an Australian case study (2012, background): “Evidence from other countries shows that taxonomic biases similar to those of threatened species lists occur for the species that receive recovery plans (Hoekstra et al., 2002; Taylor et al., 2005; Schwartz, 2008).”