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Identifying News Shocks from Forecasts

Author : Jonathan J. Adams
Publisher : International Monetary Fund
Page : 78 pages
File Size : 48,12 MB
Release : 2023-09-29
Category : Business & Economics
ISBN :

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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 with Forecast Data

Author : Yasuo Hirose
Publisher :
Page : 0 pages
File Size : 10,30 MB
Release : 2012
Category :
ISBN :

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Recent studies attempt to quantify the empirical importance of news shocks (ie., anticipated future shocks) in business cycle fluctuations. This paper identifies news shocks in a dynamic stochastic general equilibrium model estimated with not only actual data but also forecast data. The estimation results show new empirical evidence that anticipated future technology shocks are the most important driving force of U.S. business cycles. The use of the forecast data makes the anticipated shocks play a much more important role in fitting model-implied expectations to this data, since such shocks have persistent effects on the expectations and thereby help to replicate the observed persistence of the forecasts.

Identifying government spending shocks : it's all in the timing

Author : Valerie A. Ramey
Publisher :
Page : 58 pages
File Size : 49,68 MB
Release : 2009
Category : Consumption (Economics)
ISBN :

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Do shocks to government spending raise or lower consumption and real wages? Standard VAR identification approaches show a rise in these variables, whereas the Ramey-Shapiro narrative identification approach finds a fall. I show that a key difference in the approaches is the timing. Both professional forecasts and the narrative approach shocks Granger-cause the VAR shocks, implying that the VAR shocks are missing the timing of the news. Simulations from a standard neoclassical model in which government spending is anticipated by several quarters demonstrate that VARs estimated with faulty timing can produce a rise in consumption even when it decreases in the model. Motivated by the importance of measuring anticipations, I construct two new variables that measure anticipations. The first is based on narrative evidence that is much richer than the Ramey-Shapiro military dates and covers 1939 to 2008. The second is from the Survey of Professional Forecasters, and covers the period 1969 to 2008. All news measures suggest that most components of consumption fall after a positive shock to government spending. The implied government spending multipliers range from 0.6 to 1.1.

Identifying Government Spending Shocks

Author : Valerie Ann Ramey
Publisher :
Page : 60 pages
File Size : 32,42 MB
Release : 2009
Category : Consumption (Economics)
ISBN :

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Abstract: Do shocks to government spending raise or lower consumption and real wages? Standard VAR identification approaches show a rise in these variables, whereas the Ramey-Shapiro narrative identification approach finds a fall. I show that a key difference in the approaches is the timing. Both professional forecasts and the narrative approach shocks Granger-cause the VAR shocks, implying that the VAR shocks are missing the timing of the news. Simulations from a standard neoclassical model in which government spending is anticipated by several quarters demonstrate that VARs estimated with faulty timing can produce a rise in consumption even when it decreases in the model. Motivated by the importance of measuring anticipations, I construct two new variables that measure anticipations. The first is based on narrative evidence that is much richer than the Ramey-Shapiro military dates and covers 1939 to 2008. The second is from the Survey of Professional Forecasters, and covers the period 1969 to 2008. All news measures suggest that most components of consumption fall after a positive shock to government spending. The implied government spending multipliers range from 0.6 to 1.1

Forecasting High-Frequency Volatility Shocks

Author : Holger Kömm
Publisher : Springer
Page : 188 pages
File Size : 13,80 MB
Release : 2016-02-08
Category : Business & Economics
ISBN : 3658125969

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This thesis presents a new strategy that unites qualitative and quantitative mass data in form of text news and tick-by-tick asset prices to forecast the risk of upcoming volatility shocks. Holger Kömm embeds the proposed strategy in a monitoring system, using first, a sequence of competing estimators to compute the unobservable volatility; second, a new two-state Markov switching mixture model for autoregressive and zero-inflated time-series to identify structural breaks in a latent data generation process and third, a selection of competing pattern recognition algorithms to classify the potential information embedded in unexpected, but public observable text data in shock and nonshock information. The monitor is trained, tested, and evaluated on a two year survey on the prime standard assets listed in the indices DAX, MDAX, SDAX and TecDAX.

News, Real-Time Forecasts, and the Price Puzzle

Author : Pavel S. Kapinos
Publisher :
Page : 37 pages
File Size : 48,5 MB
Release : 2017
Category :
ISBN :

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This paper revisits the effects of news shocks in the context of an otherwise standard New Keynesian dynamic general equilibrium (DSGE) model. We use the U.S. real-time forecasts from the Federal Reserve's Green Book to model agents' and the central bank's expectations of future macroeconomic outcomes. We show that unlike with the ex post data where the identification of news shocks is driven by the modeling assumptions, the identification strategy that relies on the Greenbook forecasts ascribes a larger role to news shocks in explaining variation in the model's endogenous variables. Furthermore, we demonstrate that the presence of sizable news shocks explains the emergence of the price puzzle in the structural vector autoregressive framework.

News Shocks in Open Economies

Author : Mr.Rabah Arezki
Publisher : International Monetary Fund
Page : 54 pages
File Size : 48,23 MB
Release : 2015-09-29
Category : Business & Economics
ISBN : 1513590766

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This paper explores the effect of news shocks on the current account and other macroeconomic variables using worldwide giant oil discoveries as a directly observable measure of news shocks about future output ? the delay between a discovery and production is on average 4 to 6 years. We first present a two-sector small open economy model in order to predict the responses of macroeconomic aggregates to news of an oil discovery. We then estimate the effects of giant oil discoveries on a large panel of countries. Our empirical estimates are consistent with the predictions of the model. After an oil discovery, the current account and saving rate decline for the first 5 years and then rise sharply during the ensuing years. Investment rises robustly soon after the news arrives, while GDP does not increase until after 5 years. Employment rates fall slightly for a sustained period of time.