Binary Autoregressive Moving Average (BARMA) models provide a modeling technology for binary time series analogous to the classic Gaussian ARMA models used for continuous data. BARMA models mitigate the curse of dimensionality found in long lag Markov models and allow for non-Markovian...

We construct a cross-section of stock prices and their corresponding present values of future cash flows. A regression of present value on the initial stock price should have a slope coefficient equal to 1.0. For short horizons, this is a cross-section version of checking the random walk model...

Standard estimates of the NAIRU or natural rate of unemployment are subject to considerable uncertainty. We show in this paper that using multiple indicators to extract an estimated NAIRU cuts in half uncertainty as measured by variance. The inclusion of an Okun's Law relation is particularly...