Search Results
Working Paper
Identification Using Higher-Order Moments Restrictions
We exploit inequality restrictions on higher-order moments of the distribution of structural shocks to sharpen their identification. We show that these constraints can be treated as necessary conditions and used to shrink the set of admissible rotations. We illustrate the usefulness of this approach showing, by simulations, how it can dramatically improve the identification of monetary policy shocks when combined with widely used sign-restriction schemes. We then apply our methodology to two empirical questions: the effects of monetary policy shocks in the U.S. and the effects of sovereign ...
Journal Article
The Macroeconomic Effects of the 2018 Bipartisan Budget Act
The 2018 Bipartisan Budget Act raised government spending caps by $300 billion for fiscal years 2018 and 2019. While spending does not increase immediately, private sector investment and consumption may respond ahead of an anticipated fiscal stimulus. This Economic Perspectives article assesses the strength of this mechanism based on the private sector?s expectations.
Newsletter
How Tight is U.S. Monetary Policy
In this Chicago Fed Letter, we use a quantitative macroeconomic model to tackle the question of whether the response of the Federal Reserve (the Fed) to recent high inflation is consistent with its historical behavior. This is an important question because systematic deviations from past behavior could lead the private sector to revise its expectations about how the Fed will respond to inflation going forward, which, according to macroeconomic theory, could affect its ability to stabilize inflation in the future.
Working Paper
Higher-order Moment Inequality Restrictions for SVARs
We introduce a method that exploits some non-Gaussian features of structural shocks to identify structural vector autoregression (SVAR) models. More specifically, we propose combining inequality restrictions on the higher-order moments of the structural shocks of interest with other set-identifying constraints, typically sign restrictions. We illustrate how, in both large and small sample settings, higher-order moment restrictions considerably narrow the identification of monetary policy shocks compared with what is obtained with minimal sign restrictions typically used in the SVAR ...
Working Paper
The Chicago Fed DSGE Model: Version 2
The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the Federal Reserve Bank of Chicago. This guide describes its specification, estimation, dynamic characteristics, and how it is used to forecast the U.S. economy. In many respects the model resembles other medium-scale New Keynesian frameworks, but there are several features which distinguish it: the monetary policy rule includes anticipated future deviations, productivity is driven by both neutral and investment specific technical change, multiple price and wage indices identify ...
Working Paper
Selecting Primal Innovations in DSGE models
DSGE models are typically estimated assuming the existence of certain primal shocks that drive macroeconomic fluctuations. We analyze the consequences of estimating shocks that are "non-existent" and propose a method to select the primal shocks driving macroeconomic uncertainty. Forcing these non-existing shocks in estimation produces a downward bias in the estimated internal persistence of the model. We show how these distortions can be reduced by using priors for standard deviations whose support includes zero. The method allows us to accurately select primal shocks and estimate model ...
Newsletter
How Interconnected Are Cryptocurrencies and What Does This Mean for Risk Management
In the past couple of years, the market for digital currencies, commonly known as cryptocurrencies because transactions are verified using cryptography, has expanded significantly in terms of transaction volumes, market capitalization, and the number of digital currencies in existence. On January 1, 2018, the market capitalizations (market caps1) of Bitcoin and Ethereum were $226 billion and $75 billion, respectively. By May 10, 2021, Bitcoin’s market cap had reached almost $1 trillion and Ethereum’s $478 billion.In this article, I measure the market’s interconnections in term of prices ...
Working Paper
Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area
What drives the strong reaction of financial markets to central bank communication on the days of policy decisions? We highlight the role of two factors that we identify from high-frequency monetary surprises: news on future macroeconomic conditions (Delphic shocks) and news on future monetary policy shocks (Odyssean shocks). These two shocks move the yield curve in the same direction but have opposite effects on financial conditions and macroeconomic expectations. A drop in future interest rates that is associated with a negative Delphic (Odyssean) shock is perceived as being contractionary ...
Working Paper
Delphic and Odyssean Monetary Policy Shocks: Evidence from the Euro Area
We use financial intraday data to identify monetary policy surprises in the euro area. We find that monetary policy statements and press conferences after European Central Bank (ECB) Governing Council meetings convey information that moves the yield curve far out. Moreover, the nature of the information revealed in a narrow window around these statements and press conferences evolved over time. Until 2013, unexpected variations in future interest rates were positively correlated with the changes in market-based measure of inflation expectations consistent with news on future macroeconomic ...
Newsletter
What Is the Impact of Monetary Policy on Households’ Desired Labor Supply?
Do people adjust how much they want to work when the central bank’s monetary policy stance shifts? More specifically, does an interest rate hike induce individuals to work more or fewer hours? And does this effect differ across households with different levels of income (or earnings)? In this article, we discuss our recent research that explores these and related questions. One notable finding is that employed individuals at the bottom of the income distribution want to work more when monetary policy tightens.