While internationally, large-scale forestry projects have gained in importance for climate change mitigation, the implementation of such projects, particularly in regions with smallholder forestry like Southeast and East Asia, faces various obstacles. The organization of smallholders is one...

We investigate the impacts of the U.S. renewable fuel standard (RFS2) and several alternative biofuel policy designs on global GHG emissions from land use change and agriculture over the 2010–2030 horizon. Analysis of the scenarios relies on GLOBIOM, a global, multi-sectoral economic model...

This paper investigates the response of beef cattle producers to changes in the price of cattle. Previous research has suggested that there may be a negative short-run supply response to a permanent increase in the price of cattle. We build a dynamic, rational expectations model that predicts...

Nonlinear master equations in the case of one kind of particle are discussed from the point of view of solving a martingale problem. We get some conditions from which the existence, uniqueness and ergodicity of solutions follow. These results are then used to discuss the phenomenon of phase...

We propose a class of generalised percentile ratios as an alternative to the P90 / P10 ratio for measuring labour earnings inequality. We show that they are more robust to sampling the variation and rounding error prevalent in interview-based surveys, as demonstrated through a Monte Carlo...

To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete data methods. Estimation and inference...

To measure income inequality with right-censored (top-coded) data, we propose multiple-imputation methods for estimation and inference. Censored observations are multiply imputed using draws from a flexible parametric model fitted to the censored distribution, yielding a partially synthetic data...