It takes the average reader 1 hour and 20 minutes to read Identifying News Shocks from Forecasts by Jonathan J. Adams
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We propose a method to identify the anticipated components of macroeconomic shocks in a structural VAR. We include empirical forecasts about each time series in the VAR. This introduces enough linear restrictions to identify each structural shock and to further decompose each one into “news” and “surprise” shocks. We estimate a VAR on US time series using forecast data from the SPF, CBO, Federal Reserve, and asset prices. Unanticipated fiscal stimulus and interest rate shocks we identify have typical effects that match existing evidence. In our news-surprise decomposition, we find that news drives around one quarter of US business cycle volatility. News explains a larger share of the variance due to fiscal shocks than for monetary policy shocks. Finally, we use the news structure of the shocks to estimate counterfactual policy rules, and compare the ability of fiscal and monetary policy to moderate output and inflation. We find that coordinated fiscal and monetary policy are substantially more effective than either tool is individually.
Identifying News Shocks from Forecasts by Jonathan J. Adams is 78 pages long, and a total of 20,124 words.
This makes it 26% the length of the average book. It also has 25% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 49 minutes to read Identifying News Shocks from Forecasts aloud.
Identifying News Shocks from Forecasts is suitable for students ages 10 and up.
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