Logo
Munich Personal RePEc Archive

Uncertainty, Learning, and Local Opposition to Hydraulic Fracturing

Hess, Joshua and Manning, Dale and Iverson, Terry and Cutler, Harvey (2016): Uncertainty, Learning, and Local Opposition to Hydraulic Fracturing.

[thumbnail of MPRA_paper_79238.pdf]
Preview
PDF
MPRA_paper_79238.pdf

Download (3MB) | Preview

Abstract

The development of oil and gas extraction technologies, including hydraulic fracturing (fracking), has increased fossil fuel reserves in the US. Despite benefits, uncertainty over environmental damages has led to fracking bans, both permanent and temporary, in many jurisdictions. We develop a stochastic dynamic learning model parameterized with a computable general equilibrium model to explore if uncertainty about damages, combined with the ability to learn about risks, can explain fracking bans in practice. Applying the model to a representative Colorado municipality, we quantify the quasi-option value (QOV), which creates an additional incentive to ban fracking temporarily in order to learn, though it only influences policy in a narrow range of oil and gas prices. To our knowledge, this is the first attempt to quantify an economy-wide QOV associated with a local environmental policy decision.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.