Despite the frequency of tax changes and their potential importance to investors, there has been relatively little modeling of anticipated tax changes. Yet whether future tax reforms are predictable or not will have an enormous effect on estimates of the impact of current tax policies. This...

This paper constructs high-frequency and timely income distributions for the United States. We develop a methodology to combine the information contained in high-frequency public data sources—including monthly household and employment surveys, quarterly censuses of employment and wages, and...

This paper constructs high-frequency and timely income distributions for the United States. We develop a methodology to combine the information contained in high-frequency public data sources--including monthly household and employment surveys, quarterly censuses of employment and wages, and...

Efforts to reduce emissions to counter climate change are expected to have both costs andbenefits, and these effects are likely to be unevenly distributed across the population. Weexamined the potential distributional impacts on employment in New Zealand from usingdifferent mitigation options...

Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences about unknown ones. In Bayesian forecasting, one simply takes a subset of...