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Jel Classification:E30 

Report
Exploiting the monthly data flow in structural forecasting

This paper develops a framework that allows us to combine the tools provided by structural models for economic interpretation and policy analysis with those of reduced-form models designed for nowcasting. We show how to map a quarterly dynamic stochastic general equilibrium (DSGE) model into a higher frequency (monthly) version that maintains the same economic restrictions. Moreover, we show how to augment the monthly DSGE with auxiliary data that can enhance the analysis and the predictive accuracy in now-casting and forecasting. Our empirical results show that both the monthly version of ...
Staff Reports , Paper 751

Report
Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)

This paper discusses prior elicitation for the parameters of dynamic stochastic general equilibrium (DSGE) models and provides a method for constructing prior distributions for a subset of these parameters from beliefs about the moments of the endogenous variables. The empirical application studies the role of price and wage rigidities in a New Keynesian DSGE model and finds that standard macro time series cannot discriminate among theories that differ in the quantitative importance of nominal frictions.
Staff Reports , Paper 320

Report
Do Monetary Policy Announcements Shift Household Expectations?

We use daily survey data from Gallup to assess whether households' beliefs about economic conditions are influenced by surprises in monetary policy announcements. We first provide more general evidence that public confidence in the state of the economy reacts to certain types of macroeconomic news very quickly. Next, we show that surprises about the federal funds target rate are among the news that have statistically significant and instantaneous effects on economic confidence. In contrast, surprises about forward guidance and asset purchases do not have similar effects on household beliefs, ...
Staff Reports , Paper 897

Report
Firm-to-Firm Relationships and the Pass-Through of Shocks: Theory and Evidence

Economists have long suspected that firm-to-firm relationships might lower the responsiveness of prices to shocks due to the use of fixed-price contracts. Using transaction-level U.S. import data, I show that the pass-through of exchange rate shocks in fact rises as a relationship grows older. Based on novel stylized facts about a relationship?s life cycle, I develop a model of relationship dynamics in which a buyer-seller pair accumulates relationship capital to lower production costs under limited commitment. The structurally estimated model generates countercyclical markups and ...
Staff Reports , Paper 896

Report
Understanding HANK: insights from a PRANK

We show analytically that whether incomplete markets resolve New Keynesian ?paradoxes? depends primarily on the cyclicality of income risk, rather than marginal propensity to consume (MPC) heterogeneity. Incomplete markets reduce the effectiveness of forward guidance and multipliers in a liquidity trap only with procyclical risk. Countercyclical risk amplifies these ?puzzles.? Procyclical risk permits determinacy under a peg; countercyclical risk generates indeterminacy even under the Taylor principle. MPC heterogeneity leaves determinacy and paradoxes qualitatively unaffected, but can change ...
Staff Reports , Paper 835

Report
Optimal Monetary Policy According to HANK

We study optimal monetary policy in a heterogeneous agent new Keynesian economy. A utilitarian planner seeks to reduce consumption inequality, in addition to stabilizing output gaps and inflation. The planner does so both by reducing income risk faced by households, and by reducing the pass-through from income to consumption risk, trading off the benefits of lower inequality against productive inefficiency and higher inflation. When income risk is countercyclical, policy curtails the fall in output in recessions to mitigate the increase in inequality. We uncover a new form of time ...
Staff Reports , Paper 916

Report
Informational Rigidities and the Stickiness of Temporary Sales

We use unique price data to study how retailers react to underlying cost changes. Temporary sales account for 95% of price changes in our data. Simple models would, therefore, suggest that temporary sales play a central role in price responses to cost shocks. We find, however, that, in response to a wholesale cost increase, the entire increase in retail prices comes through regular price increases. Sales actually respond temporarily in the opposite direction from regular prices, as though to conceal the price hike. Additional evidence from responses to commodity cost and local unemployment ...
Staff Report , Paper 513

Working Paper
Macroeconomic Effects of Government Spending in China

Government spending plays an important role in determining economic performances in China. Its macroeconomic effects are analyzed in this paper. We show that government spending in China (i) Granger-causes output, consumption and investment booms as well as inflation and (ii) has a multiplier larger than 1. The large multiplier effects are found not only in aggregate time-series data but also in panel data at the provincial level. We also provide a theoretical model and Monte Carlo analysis to rationalize our empirical findings. Our theoretical and Monte Carlo analyses support the large ...
Working Papers , Paper 2013-013

Working Paper
Measuring Sectoral Supply and Demand Shocks during COVID-19

We measure labor demand and supply shocks at the sector level around the COVID-19 outbreak by estimating a Bayesian structural vector autoregression on monthly statistics of hours worked and real wages. Our estimates suggest that two-thirds of the 16.24 percentage point drop in the growth rate of hours worked in April 2020 are attributable to supply. Most sectors were subject to historically large negative labor supply and demand shocks in March and April, but there is substantial heterogeneity in the size of shocks across sectors. We show that our estimates of supply shocks are correlated ...
Working Papers , Paper 2020-011

Working Paper
Measuring Sectoral Supply and Demand Shocks during COVID-19

We measure labor demand and supply shocks at the sector level around the COVID-19 outbreak by estimating a Bayesian structural vector autoregression on monthly statistics of hours worked and real wages. Our estimates suggest that two-thirds of the 16.24 percentage point drop in the growth rate of hours worked in April 2020 are attributable to supply. Most sectors were subject to historically large negative labor supply and demand shocks in March and April, but there is substantial heterogeneity in the size of shocks across sectors. We show that our estimates of supply shocks are correlated ...
Working Papers , Paper 2020-011

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