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Assessing the Accuracy of Self-Reported Data: an Evaluation of the Toxics Release Inventory

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Author Info
Scott Marchi ()
James Hamilton ()
Abstract

Self-reported regulatory data are hard to verify. This article compares air emissions reported by plants in the Toxics Release Inventory with chemical concentration levels measured by EPA pollution monitors. We find that the large drops in air emissions reported by firms in the TRI are not always matched by similar reductions in measured concentrations from EPA monitors. When the first digits of the monitored chemical concentrations follow a monotonically decreasing distribution, we expect (via Benford's Law) a similar distribution of first digits for the TRI data. For lead and nitric acid the self-reported data do not follow the expected first digit pattern. This suggests that for these two heavily regulated chemicals plants are not reporting accurate estimates of their air emissions. Copyright Springer Science + Business Media, Inc. 2006

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File URL: http://hdl.handle.net/10.1007/s10797-006-6666-3
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Publisher Info
Article provided by Springer in its journal Journal of Risk and Uncertainty.

Volume (Year): 32 (2006)
Issue (Month): 1 (January)
Pages: 57-76
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:kap:jrisku:v:32:y:2006:i:1:p:57-76

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Web page: http://www.springerlink.com/link.asp?id=100299

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: Toxics release inventory Benford's law Reporting accuracy Information provision

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This page was last updated on 2008-8-21.


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