FEDERAL-BUDGET PROJECTIONS - A NONPARAMETRIC ASSESSMENT OF BIAS AND EFFICIENCY

As an important initial step in the annual budget process, the President presents to Congress each January his budget with details of federal spending activity and priorities. Our paper is a statistical assessment of the merit of the budget figures submitted to Congress. We investigate the overall budget as well as several important specific accounts. An important aspect of our paper is the introduction of a nonparametric methodology which incorporates exact tests for assessing the unbiasedness, and the internal and external consistency of forecasts. The empirical evidence shows that the nonparametric results confirm the presence of bias in forecasts on the outlay side suggested by regression results, but tends to find fewer series exhibiting bias on the revenue side. On the other hand, the nonparametric approach lends greater support to the conclusion that the government's budget projections do not fully exploit available information.