This paper investigates the relative economic and environmental outcomes of price versus quantity mechanisms to control GHG emissions when abatement costs are uncertain. In particular, we evaluate the impacts on policy costs, CO2 emissions and energy R&D for a stringent mitigation target of 550...

We develop hypothetical policy scenarios in this part of the paper which are simulated using a product-by-industry economic-ecological model to investigate their impacts on water and other ecological commodities. Results are expected to contribute to the establishment of alternative policy...

Biofuel production is being promoted through various policies such as mandates and tax credits. This paper uses a dynamic, spatial, multi-market equilibrium model, Biofuel and Environmental Policy Analysis Model (BEPAM), to estimate the effects of these policies on cropland allocation, food and...

This note incorporates ecological interactions into the Noah's Arch problem [M.L. Weitzman, The Noah's Arch problem, Econometrica 66(6) (1998) 1279-1298]. In doing so, we arrive at a general model for ranking in situ conservation projects accounting for species interrelations and provide an...

We study whether to auction or to freely distribute emissions allowances when some firms participating in emissions trading are subject to price regulation. We show that free allowances allocated to price-regulated firms effectively act as a subsidy to output, distort consumer choices, and...

Mitigation-Process Integrated Assessment Models (MP-IAMs) are used to analyze long-term transformation pathways of the energy system required to achieve stringent climate change mitigation targets. Due to their substantial temporal and spatial aggregation, IAMs cannot explicitly represent all...

Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. Using the quantum Monte Carlo (QMC) algorithm, we are the first to study whether quantum computing can improve the run time of economic applications and challenges in doing so....

We introduce the market resources method (MRM) for solving dynamic optimization problems. MRM extends Carroll's (2006) endogenous grid point method (EGM) for problems with more than one control variable using policy function iteration. The MRM algorithm is simple to implement and provides...

We introduce the market resources method (MRM) for solving dynamic optimization problems. MRM extends Carroll’s (2006) endogenous grid point method (EGM) for problems with more than one control variable using policy function iteration. The MRM algorithm is simple to implement and provides...

We develop a trading strategy which employs limit and market orders in a multi-asset economy where the assets are not only correlated, but can also be structurally dependent. To model the structural dependence, the midprice processes follow a multivariate reflected Brownian motion on the closure...