Significant advances have now occurred in the theoretical and in the empirical knowledge-base of researchers studying problems in natural resource and environmental economics. This has been accompanied by the utilization of many and varied research tools. These developments notwithstanding,...

Significant advances have now occurred in the theoretical and in the empirical knowledge-base of researchers studying problems in natural resource and environmental economics. This has been accompanied by the utilization of many and varied research tools. These developments notwithstanding,...

The estimation of the optimal charges/taxes on environmental disruption and the financing of the spending on the abatement of environmental disruption are important practical problems. This paper shows that, for most cases where some abatement is desirable, both the estimation and the financing...

Spike models allow for a non-zero probability of zero willingness-to-pay in referendum-style contingent valuation experiments. They include many of the often used models as special cases and allow various analyses that are not possible in standard applications. This paper discusses the economic...

We develop and implement methods for determining whether relaxing sparsity constraints on portfolios improves the investment opportunity set for risk-averse investors. We formulate a new estimation procedure for sparse second-order stochastic spanning based on a greedy algorithm and Linear...

We study the correct estimation of the true variance of the predictor in stochastic Kriging (SK). First, we obtain macroreplications for a SK metamodel that approximates a single-server simulation model; these macroreplications give independently and identically distributed predictions. This...

This paper proposes a generalized exponential moving average (EMA) model, a new stochastic volatility model with time-varying expected return in financial markets. In particular, we effectively apply a particle filter (PF) to sequential estimation of states and parameters in a state space...