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We study forecasts for real GDP growth using a large panel of individual forecasts from 36 advanced and emerging economies during 1989–2010. We show that the degree of information rigidity in average forecasts is substantially higher than that in individual forecasts. Individual level forecasts are updated quite frequently, a behavior more in line “noisy” information models (Woodford, 2002; Sims, 2003) than with the assumptions of the sticky information model (Mankiw and Reis, 2002). While there are cross-country variations in information rigidity, there is no systematic difference between advanced and emerging economies.

This paper addresses two fundamental issues in indirect tax design. It first revisits the case for reduced rates on items especially important to the poor, establishing conditions under which even very crudely targeted spending measures better serve their interests. It then explores the welfare costs from cascading taxes, showing that these may actually be lower the wider the set of inputs that are taxed but, more to the point—and contrary to the common notion that'a low rate on a broad base'is always good tax policy—may plausibly be large even at a low nominal tax rate and with few stages of production.