Abstract: The Stock/Watson index methodology is applied to the Massachusetts economy to estimate coincident and leading indexes for the state. A coincident index, calibrated to trend with gross state product, is estimated as a dynamic single factor, multiple indicator model, using the Kalman filter and smoother on a set of coincident indicators. The leading index is a six-month ahead forecast of the coincident index, based on a regression on recent growth in the coincident index and a set of leading indicators. Filtering of noisy data and model selection in the context of a short historical span of data are two issues…common to index construction at the state and regional levels that the authors address.
Show more
Keywords: coincident index, leading index, Kalman filter, dynamic single factor model, predictive least squares, Stock/Watson model