A Monthly Volatility Index for the US Real Economy
Government of the Italian Republic (Italy) - Department of the Treasury
Universite Libre de Bruxelles - Solvay Brussels School of Economics and Management - ECARES
We estimate the monthly volatility of the US economy from 1959 to 2008 by extending the factor model of Stock and Watson (1991). The volatility of the factor, which we call VOLINX, has three applications.First, it measures the changes in uncertainty in the economy. VOLINX captures the decrease in the volatility in the mid-80s (the so-called Great Moderation) as well as the different episodes of uncertainty over the sample period. In the 70s and early 80s the stagflation and the two oil crises marked the pace of the volatility whereas 09/11 is the most relevant shock after the moderation. Second, it helps to understand the macroeconomic indicators that cause volatility. While industrial production is one of the main drivers of the growth rate of the economy, its volatility is mainly affected by employment and income. Last, the methodology we use permits us to estimate monthly GDP, which has conditional volatility that is partly explained by VOLINX.
Number of Pages in PDF File: 27
Keywords: Great Moderation, temporal disaggregation, volatility, dynamic factor models, Kalman filter
JEL Classification: C32, C51, E32, E37working papers series
Date posted: March 25, 2008 ; Last revised: February 2, 2009
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