Understanding Uncertainty Shocks
For decades, macroeconomists have searched for shocks that are plausible drivers of business cycles. A recent advance in this quest has been to explore uncertainty shocks. Researchers use a variety of forecast and volatility data to justify heteroskedastic shocks in a model, which can then generate realistic cyclical uctuations. But the relevant measure of uncertainty in most models is the conditional variance of a forecast. When agents form such forecasts with state, parameter and model uncertainty, neither forecast dispersion nor innovation volatilities are good proxies for conditional forecast variance. We use observable data to select and estimate a forecasting model and then ask the model to inform us about what uncertainty shocks look like and why they arise.
|Date of creation:||2013|
|Contact details of provider:|| Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA|
Web page: http://www.EconomicDynamics.org/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Susanto Basu & Brent Bundick, 2011.
"Uncertainty Shocks in a Model of Effective Demand,"
Boston College Working Papers in Economics
774, Boston College Department of Economics, revised 01 Nov 2015.
- Susanto Basu & Brent Bundick, 2012. "Uncertainty shocks in a model of effective demand," Working Papers 12-15, Federal Reserve Bank of Boston.
- Susanto Basu & Brent Bundick, 2012. "Uncertainty Shocks in a Model of Effective Demand," NBER Working Papers 18420, National Bureau of Economic Research, Inc.
- Bundick, Brent & Basu, Susanto, 2014. "Uncertainty shocks in a model of effective demand," Research Working Paper RWP 14-15, Federal Reserve Bank of Kansas City, revised 01 Nov 2015.
- Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
- Benjamin Born & Alexandra Peter & Johannes Pfeifer, 2011. "Fiscal News and Macroeconomic Volatility," Bonn Econ Discussion Papers bgse08_2011, University of Bonn, Germany.
- Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
- Sargent, Thomas J. & Cogley, Timothy, 2005. "The conquest of U.S. inflation: learning and robustness to model uncertainty," Working Paper Series 478, European Central Bank.
- Emi Nakamura & Dmitriy Sergeyev & Jón Steinsson, 2017. "Growth-Rate and Uncertainty Shocks in Consumption: Cross-Country Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(1), pages 1-39, January.
- Emi Nakamura & Dmitriy Sergeyev & Jón Steinsson, 2012. "Growth-Rate and Uncertainty Shocks in Consumption: Cross-Country Evidence," NBER Working Papers 18128, National Bureau of Economic Research, Inc.