In recent months, the governors of several states have suffered major political embarrassments because actual revenues fell, substantially short of the predictions in their respective budgets. Such episodes focus attention on the question of whether states do a good " job of forecasting revenues. In modern economics, forecasts are evaluated on the basis of whether or not they are rational " do the forecasts optimal] y incorporate all information that is available at the tune they are made? This paper dr:vel ops a method for testing the rat i.onal t.y of state revenue forecasts, and applies it. to the aria lysi s of data from New Jersey, Massachusetts, arid Maryland. (ne of our main findtri'i; u,; that in all three states, the I orerats of own revenues are yystematically biased dowriward

We employ a unique data set and new time-series techniques to reexamine the existence of trends in relative primary commodity prices. The data set comprises 25 commodities and provides a new historical perspective, spanning the seventeenth to the twenty-first centuries. New tests for the trend function, robust to the order of integration of the series, are applied to the data. Results show that eleven price series present a significant and downward trend over all or some fraction of the sample period. In the very long run, a secular, deteriorating trend is a relevant phenomenon for a significant proportion of primary commodities.