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Working Paper
A New Way to Quantify the Effect of Uncertainty
This paper develops a new way to quantify the effect of uncertainty and other higher-order moments. First, we estimate a nonlinear model using Bayesian methods with data on uncertainty, in addition to common macro time series. This key step allows us to decompose the exogenous and endogenous sources of uncertainty, calculate the effect of volatility following the cost of business cycles literature, and generate data-driven policy functions for any higherorder moment. Second, we use the Euler equation to analytically decompose consumption into several terms--expected consumption, the ex-ante ...
Working Paper
Entry and Exit, Unemployment, and Macroeconomic Tail Risk
This paper builds a nonlinear business cycle model with endogenous firm entry and exit and equilibrium unemployment. The entry and exit mechanism generates asymmetry and amplifies the transmission of productivity shocks, exposing the economy to significant tail risk. When calibrating the rates of entry and exit to match their shares of job creation and destruction, our quantitative model generates higher-order moments consistent with U.S. data. Firm exit particularly amplifies the severity and persistence of deep recessions such as the COVID-19 crisis. In the absence of entry and exit, the ...
The Production Process Drives Fluctuations in Output and Uncertainty
If economic developments drive most of the changes in uncertainty—rather than the reverse—then the direct effect of a change in uncertainty on economic activity is much smaller than previous research has shown.
Working Paper
Are nonlinear methods necessary at the zero lower bound?
This paper examines the importance of the zero lower bound (ZLB) constraint on the nominal interest rate by estimating three variants of a small-scale New Keynesian model: (1) a nonlinear model with an occassionally binding ZLB constraint; (2) a constrained linear model, which imposes the constraint in the filter but not the solution; and (3) an unconstrained linear model, which never imposes the constraint. The posterior distributions are similar, but important differences arise in their predictions at the ZLB. The nonlinear model fits the data better at the ZLB and primarily attributes the ...
Working Paper
Complementarity and Macroeconomic Uncertainty
Macroeconomic uncertainty—the conditional volatility of the unforecastable component of a future value of a time series—shows considerable variation in the data. A typical assumption in business cycle models is that production is Cobb-Douglas. Under that assumption, this paper shows there is usually little, if any, endogenous variation in output uncertainty, and first moment shocks have similar effects in all states of the economy. When the model departs from Cobb-Douglas production and assumes capital and labor are gross complements, first-moment shocks have state-dependent effects and ...
Journal Article
Fed’s Effective Lower Bound Constraint on Monetary Policy Created Uncertainty
Uncertainty about the economy increased when the Fed reduced the federal funds rate to its effective lower bound because the constraint restricted the Fed?s ability to stabilize the economy. As a result, a much stronger negative relationship between uncertainty and economic activity emerged during and shortly after the Great Recession.
Working Paper
Valuation Risk Revalued
The recent asset pricing literature finds valuation risk is an important determinant of key asset pricing moments. Valuation risk is modelled as a time preference shock within Epstein-Zin recursive utility preferences. While this form of valuation risk appears to fit the data extremely well, we show the preference specification violates an economically meaningful restriction on the weights in the Epstein-Zin time-aggregator. The same model with the corrected preference specification performs nearly as well at matching asset pricing moments, but only if the risk aversion parameter is well ...
Working Paper
The Matching Function and Nonlinear Business Cycles
The Cobb-Douglas matching function is ubiquitous in search and matching models, even though it imposes a constant matching elasticity that is unlikely to hold empirically. Using a general constant returns to scale matching function, this paper first derives analytical conditions that determine how the cyclicality of the matching elasticity amplifies or dampens the nonlinear dynamics of the job finding and unemployment rates. It then demonstrates that these effects are quantitatively significant and driven by plausible variation in the matching elasticity.
Job vacancy, unemployment relationship clouds ‘soft landing’ prospects
Some economists have argued that because the job vacancy rate has been well above its prepandemic level, there is plenty of room for vacancies to fall before the unemployment rate must rise.
Working Paper
Countercyclical Fluctuations in Uncertainty are Endogenous
This paper uses a battery of calibrated and estimated structural models to determine the causal drivers of the negative correlation between output and aggregate uncertainty. We find the transmission of uncertainty shocks to output is weak, while aggregate uncertainty endogenously responds to first moment shocks in the presence of labor market search frictions. This indicates that countercyclical movements in aggregate uncertainty are endogenous responses to changes in output, rather than exogenous impulses. A vector autoregression on simulated data shows recursive identification techniques do ...