New method combines daily financial data for better economic predictions.
Including both daily financial market data and less frequent macroeconomic data helps estimate structural parameters in dynamic equilibrium models. Two methods are suggested: one combines regression and minimum-distance methods, while the other uses martingale estimating functions for direct estimation. The researchers applied these methods to estimate a model with mean-reverting interest rates, using 20 years of U.S. data.