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Jel Classification:E3 

Report
Coarse Pricing Policies

The puzzling behavior of inflation in the Great Recession and its aftermath has increased the need to better understand the constraints that firms face when setting prices. Using new data and theory, I demonstrate that each firm's choice of how much information to acquire to set prices determines aggregate price dynamics through the patterns of pricing at the micro level, and through the large heterogeneity in pricing policies across firms. Viewed through this lens, the behavior of prices in recent years becomes less puzzling, as firms endogenously adjust their information acquisition ...
Staff Report , Paper 520

Working Paper
The St. Louis Fed DSGE Model

This document contains a technical description of the dynamic stochastic general equilibrium (DSGE) model developed and maintained by the Research Division of the St. Louis Fed as one of its tools for forecasting and policy analysis. The St. Louis Fed model departs from an otherwise standard medium-scale New Keynesian DSGE model along two main dimensions: first, it allows for household heterogeneity, in the form of workers and capitalists, who have different marginal propensities to consume (MPC). Second, it explicitly models a fiscal sector endowed with multiple spending and revenue ...
Working Papers , Paper 2024-014

Working Paper
CECL and the Credit Cycle

We find that that the Current Expected Credit Loss (CECL) standard would slightly dampen fluctuations in bank lending over the economic cycle. In particular, if the CECL standard had always been in place, we estimate that lending would have grown more slowly leading up to the financial crisis and more rapidly afterwards. We arrive at this conclusion by estimating historical allowances under CECL and modeling how the impact on accounting variables would have affected banks' lending and capital distributions. We consider a variety of approaches to address uncertainty regarding the management of ...
Finance and Economics Discussion Series , Paper 2019-061

Working Paper
Searching for Hysteresis

Working Paper , Paper 22-05

Working Paper
The Distributional Predictive Content of Measures of Inflation Expectations

This paper examines the predictive relationship between the distribution of realized inflation in the US and measures of inflation expectations from households, firms, financial markets, and professional forecasters. To allow for nonlinearities in the predictive relationship we use quantile regression methods. We find that the ability of households to predict future inflation, relative to that of professionals, firms, and the market, increases with inflation. While professional forecasters are more accurate in the middle of the inflation density, households’ expectations are more useful in ...
Working Papers , Paper 23-31

Report
Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach

We estimate a workhorse dynamic stochastic general equilibrium (DSGE) model with an occasionally binding borrowing constraint. First, we propose a new specification of the occasionally binding constraint, where the transition between the unconstrained and constrained states is a stochastic function of the leverage level and the constraint multiplier. This specification maps into an endogenous regime-switching model. Second, we develop a general perturbation method for the solution of such a model. Third, we estimate the model with Bayesian methods to fit Mexico’s business cycle and ...
Staff Reports , Paper 944

Working Paper
Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach

Vector autoregressions with Markov-switching parameters (MS-VARs) offer dramatically better data fit than their constant-parameter predecessors. However, computational complications, as well as negative results about the importance of switching in parameters other than shock variances, have caused MS-VARs to see only sparse usage. For our first contribution, we document the effectiveness of Sequential Monte Carlo (SMC) algorithms at estimating MSVAR posteriors. Relative to multi-step, model-specific MCMC routines, SMC has the advantages of being simpler to implement, readily parallelizable, ...
Working Papers (Old Series) , Paper 1427

Working Paper
Determinants of Differential Rent Changes: Mean Reversion versus the Usual Suspects

We study 2001-2004 and 2004-2007 rent growth of 18,000 rental units, ending our study prior to the Great Recession. Which variables correlate with rent growth: Location? Age? Rent level? Occupancy duration? Structure type? The answers deepen understanding of the rental market, help statistical agencies make decisions about sample stratification and substitution, and expose coverage problems. We document significant rent stickiness. Initial relative rent level is the best predictor, though mainly due to mean reversion. "Location" comes in second, though often not statistically significantly: ...
Working Papers (Old Series) , Paper 1511

Working Paper
POSITIVE TREND INFLATION AND DETERMINACY IN A MEDIUM-SIZED NEW KEYNESIAN MODEL

This paper studies the challenge that increasing the inflation target poses to equilibrium determinacy in a medium-sized New Keynesian model without indexation fitted to the Great Moderation era. For moderate targets of the inflation rate, such as 2 or 4 percent, the probability of determinacy is near one conditional on the monetary policy rule of the estimated model. However, this probability drops significantly conditional on model-free estimates of the monetary policy rule based on real-time data. The difference is driven by the larger response of the federal funds rate to the output gap ...
Working Papers , Paper 17-16

Working Paper
Perturbation methods for Markov-switching DSGE models

Markov-switching DSGE (MSDSGE) modeling has become a growing body of literature on economic and policy issues related to structural shifts. This paper develops a general perturbation methodology for constructing high-order approximations to the solutions of MSDSGE models. Our new method, called "the partition perturbation method," partitions the Markov-switching parameter space to keep a maximum number of time-varying parameters from perturbation. For this method to work in practice, we show how to reduce the potentially intractable problem of solving MSDSGE models to the manageable problem ...
FRB Atlanta Working Paper , Paper 2014-16

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Knotek, Edward S. 10 items

Dogra, Keshav 7 items

Gorodnichenko, Yuriy 5 items

Heise, Sebastian 5 items

Meyer, Brent 5 items

Schoenle, Raphael 5 items

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inflation 13 items

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