We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most popular approach should generally be avoided. The point is illustrated with a model that uses monthly industrial production, employment, and retail sales data to predict...

At a time when many Americans worry about rising prices, Dallas Fed Senior Economist Jim Dolmas discusses the numbers we use to track inflation in the U.S. economy.

In May 2007, the Federal Reserve Bank of Dallas hosted a conference, organized with the Federal Reserve Bank of Cleveland, titled "Price Measurement for Monetary Policy." The conference broadly focused on two issues - the measurement of core inflation and the measurement of inflation...

This paper incorporates preferences that display first-order risk aversion (FORA) into a standard real business cycle model. Although FORA preferences represent a sharp departure from the expected utility/constant relative risk aversion (EU/CRRA) preferences common in the business cycle...