We develop novel methods for estimation and filtering of continuous-time models with stochastic volatility and jumps using so-called Approximate Bayesian Computation which build likelihoods based on limited information. The proposed estimators and filters are computationally attractive relative...

Widely-used estimators such as the generalized method of moments (GMM) and quasi-maximum likelihood (QML) are not efficient in general. This study shows how the Hausman specification test may easily be corrected to be used with inefficient estimators. It introduces a related test that has better...

I evaluate the potential usefulness of nonmarket valuation concepts and techniques from environmental economics for improving wildlife conservation. The concepts include distinguishing between on-site recreation use value and off-site passive use or ...