The Trump Administration now has the opportunity to fundamentally reform American energy and climate policy. Over the last eight years, the Obama Administration consistently pursued carbon taxes, cap and trade policies, and even forcibly pushed many greenhouse gas regulations into federal law. Their justification for doing so was based on a variety of statistical models regarding greenhouse gas emissions, known as integrated assessment models, as well as questionable research regarding the planet's climate itself. Recent research has found that these models are inherently flawed and, if taken seriously, would have negligible impact on the climate itself with disastrous economic consequences. As a result, policymakers in both the Trump Administration and Congress are urged to question these models when devising regulatory policy.
Join us for a discussion of the modeling, science, and economics behind climate change.
More About the Speakers
Kevin D. Dayaratna, Ph.D.
Senior Statistician and Research Programmer,
Institute for Economic Freedom and Opportunity, The Heritage Foundation
Ross McKitrick, Ph.D.
Professor of Economics, University of Guelph; Senior Fellow, Fraser Institute;
and Adjunct Scholar, Cato Institute
Paul C. "Chip" Knappenberger
Assistant Director, Center for the Study of Science, Cato Institute
Herbert and Joyce Morgan Fellow in Energy and Environmental Policy