Mario F. Teisl

University of Maine - Department of Resource Economics and Policy

200 Winslow Hall

Orno, ME 04469-5782

United States

SCHOLARLY PAPERS

4

DOWNLOADS

721

SSRN CITATIONS

0

CROSSREF CITATIONS

1

Scholarly Papers (4)

1.

Information Policy and Genetically Modified Food: Weighing The Benefits and Costs

University of Massachusetts, Amherst Resource Economics Working Paper No. 2003-1
Number of pages: 24 Posted: 21 Apr 2003
Mario F. Teisl and Julie A. Caswell
University of Maine - Department of Resource Economics and Policy and University of Massachusetts, Amherst
Downloads 720 (34,723)
Citation 4

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GMOs, biotechnology, labeling, benefits, costs

2.

The Consequences of a Human Food Pathogen Vaccine on Food Demand: A Calibrated Partial‐Equilibrium Analysis of the U.S. Beef Market

Australian Journal of Agricultural and Resource Economics, Vol. 56, Issue 3, pp. 366-384, 2012
Number of pages: 19 Posted: 22 Jun 2012
Stéphan Marette, Brian E. Roe and Mario F. Teisl
National Institute for Agricultural Research (INRA) - ESR, Ohio State University (OSU) - Department of Agricultural, Environmental & Development Economics and University of Maine - Department of Resource Economics and Policy
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beef, cost of ignorance, food safety, partial equilibrium, vaccination

3.

The Economics of Voluntary Versus Mandatory Labels

Annual Review of Resource Economics, Vol. 6, Issue 1, pp. 407-427, 2014
Posted: 08 Oct 2014
Brian E. Roe, Mario F. Teisl and Corin R. Deans
Ohio State University (OSU) - Department of Agricultural, Environmental & Development Economics, University of Maine - Department of Resource Economics and Policy and Ohio State University (OSU) - Department of Agricultural, Environmental & Development Economics

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4.

Who Attempts to Drive Less in New England?

Transportation Research. Part F: Traffic Psychology and Behaviour, vol. 23, no. March, pp. 69–80, 2014
Posted: 09 Sep 2014
Caroline Noblet, John Thoegersen and Mario F. Teisl
University of Maine - Economics, Aarhus University - Department of Marketing and Statistics and University of Maine - Department of Resource Economics and Policy

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Travel mode, Theory of planned behavior, Behavioral antecedents, Structural equation modeling, Hard and soft policy interventions