Search Results
Working Paper
A Macroeconomic Model of Central Bank Digital Currency
We develop a quantitative New Keynesian DSGE model to study the introduction of a central bank digital currency (CBDC): government-backed digital money available to retail consumers. At the heart of our model are monopolistic banks with market power in deposit and loan markets. When a CBDC is introduced, households benefit from an expansion of liquidity services and higher deposit rates as bank deposit market power is curtailed. However, deposits also flow out of the banking system and bank lending contracts. We assess this welfare trade-off for a wide range of economies that differ in their ...
Working Paper
Financial Business Cycles
Using Bayesian methods, I estimate a DSGE model where a recession is initiated by losses suffered by banks and exacerbated by their inability to extend credit to the real sector. The event triggering the recession has the workings of a redistribution shock: a small sector of the economy -- borrowers who use their home as collateral -- defaults on their loans. When banks hold little equity in excess of regulatory requirements, the losses require them to react immediately, either by recapitalizing or by deleveraging. By deleveraging, banks transform the initial shock into a credit crunch, and, ...
Working Paper
Oil Price Fluctuations, US Banks, and Macroprudential Policy
Using US micro-level data on banks, we document a negative effect of high oil prices on US banks' balance sheets, more negative for highly leveraged banks. We set and estimate a general equilibrium model with banking and oil sectors that rationalizes those findings through the financial accelerator mechanism. This mechanism amplifies the effect of oil price shocks, making them non-negligible drivers of the dynamics of US banks' intermediation activity and of the US real economy. Macroprudential policy, in the form of a countercyclical capital buffer, can meaningfully address oil price ...
Report
Inflation in the Great Recession and New Keynesian models
It has been argued that existing DSGE models cannot properly account for the evolution of key macroeconomic variables during and following the recent great recession. We challenge this argument by showing that a standard DSGE model with financial frictions available prior to the recent crisis successfully predicts a sharp contraction in economic activity along with a modest and protracted decline in inflation following the rise in financial stress in the fourth quarter of 2008. The model does so even though inflation remains very dependent on the evolution of economic activity and of monetary ...
Report
The FRBNY DSGE model
The goal of this paper is to present the dynamic stochastic general equilibrium (DSGE) model developed and used at the Federal Reserve Bank of New York. The paper describes how the model works, how it is estimated, how it rationalizes past history, including the Great Recession, and how it is used for forecasting and policy analysis.
Report
On the Validity of Classical and Bayesian DSGE-Based Inference
This paper studies large sample classical and Bayesian inference in a prototypical linear DSGE model and demonstrates that inference on the structural parameters based on a Gaussian likelihood is unaffected by departures from Gaussianity of the structural shocks. This surprising result is due to a cancellation in the asymptotic variance resulting into a generalized information equality for the block corresponding to the structural parameters. The underlying reason for the cancellation is the certainty equivalence property of the linear rational expectation model.The main implication of this ...
Discussion Paper
Forecasting the Great Recession: DSGE vs. Blue Chip
Dynamic stochastic general equilibrium (DSGE) models have been trashed, bashed, and abused during the Great Recession and after. One of the many reasons for the bashing was the models’ alleged inability to forecast the recession itself. Oddly enough, there’s little evidence on the forecasting performance of DSGE models during this turbulent period. In the paper “DSGE Model-Based Forecasting,” prepared for Elsevier’s Handbook of Economic Forecasting, two of us (Del Negro and Schorfheide), with the help of the third (Herbst), provide some of this evidence. This post shares some of our ...
Working Paper
The financial accelerator mechanism: does frequency matter?
We use mixed-frequency (quarterly-monthly) data to estimate a dynamic stochastic general equilibrium model embedded with the financial accelerator mechanism à la Bernanke et al. (1999). We find that the financial accelerator can work very differently at monthly frequency compared to quarterly frequency; that is, we document its inversion. That is because aggregating monthly data into quarterly data leads to large biases in the estimated quarterly parameters and, as a consequence, to a deep change in the transmission of shocks.
Working Paper
Fiscal Stimulus Under Average Inflation Targeting
The stimulus effects of expansionary fiscal policy under average inflation targeting (AIT) depends on both monetary and fiscal policy regimes. AIT features an inflation makeup under the monetary regime, but not under the fiscal regime. In normal times, AIT amplifies the short-run fiscal multipliers under both regimes while mitigating the cumulative multiplies due to intertemporal substitution. In a zero-lower-bound (ZLB) period, AIT reduces fiscal multipliers under a monetary regime by shortening the duration of the ZLB through expected inflation makeup. Under the fiscal regime, AIT has a ...
Working Paper
Analyzing data revisions with a dynamic stochastic general equilibrium model
We use a structural dynamic stochastic general equilibrium model to investigate how initial data releases of key macroeconomic aggregates are related to final revised versions and how identified aggregate shocks influence data revisions. The analysis sheds light on how well preliminary data approximate final data and on how policy makers might condition their view of the preliminary data when formulating policy actions. The results suggest that monetary policy shocks and multifactor productivity shocks lead to predictable revisions to the initial release data on output growth and inflation.