What does the yield curve tell us about the Federal Reserve's implicit inflation target?

This paper studies the time variation of the Federal Reserve’s inflation target between 1960 and 2004 using both macro and yield curve data. I estimate a New Keynesian dynamic stochastic general equilibrium model in which the inflation target follows a random-walk process. I compare estimation results obtained from both macroeconomic and yield curve data, two estimates obtained with only macro data, in order to determine what the yield curve tells us about the inflation target. In the joint estimation, the estimated inflation target is much higher during the mid 1980s than in the corresponding macro estimation. Also, some part of the decline in the inflation target during the early or the mid 1980s seems to be perceived as temporary when private agents have to filter out the random walk part of the inflation target from the composite inflation target. My findings suggest that financial market participants were skeptical of the Fed’s commitment to low inflation even after the Volcker disinflation period of the early 1980s.Interest rates ; Inflation (Finance)

Yield curve in an estimated nonlinear macro model

What moves the yield curve? This paper specifies and estimates a dynamic stochastic general equilibrium (DSGE) model solved using a second order approximation to equilibrium conditions to answer this question. From the empirical analysis of U.S. data from 1983:Q1 to 2007:Q4, I find that the monetary policy response to the inflation gap defined by the difference between expected inflation and the inflation target of the central bank is a key channel transmitting macro shocks to the yield curve and that the degree of nominal rigidity determines which macro shocks are more important determinants of the yield curve. With the low degree of nominal rigidity, the inflation target of the central bank drives persistent movements of inflation and the yield curve while fluctuations of markups do so with the high degree of nominal rigidity. Although the estimated linear model puts nearly zero probability on the low degree of nominal rigidity, there is a positive probability mass in the nonlinear model. The analysis in this paper suggests caution on interpreting estimation results in which nonlinear terms of the DSGE model solution are ignored.

The efficacy of large-scale asset purchases at the zero lower bound

During the recent financial crisis, the Federal Reserve took unprecedented actions to prevent the economy from collapsing. First, the Federal Open Market Committee (FOMC) lowered the short-term federal funds rate nearly to its zero lower bound. Then, several months later, the FOMC began making large-scale purchases of long-term Treasury bonds to lower long-term interest rates by reducing the supply of long-term assets. The FOMC’s announcement of its intent led to immediate and substantial declines in the yields of long-term Treasury bonds, but some observers questioned whether such purchases could really lower long-term interest rates. ; Doh uses a preferred-habitat model that explicitly considers the zero bound for nominal interest rates. His analysis suggests that purchasing assets on a large scale can effectively lower long-term interest rates. Furthermore, when heightened risk aversion disrupts the activities of arbitrageurs, policymakers may lower long-term rates more effectively through asset purchases than through communicating their intentions to lower the expected path of future short-term rates.

Monetary policy regime shifts and inflation persistence

This paper reports the results of estimating a Markov-Switching New Keynesian (MSNK) model using Bayesian methods. The broadest and best fitting MSNK model is a four-regime model allowing independent changes in the regimes governing monetary policy and the volatility of the shocks. We use the estimates to investigate the mechanisms that lead to a decline in the persistence of inflation. We show that the population moment describing the serial correlation of inflation is a weighted average of the autocorrelation parameters of the exogenous shocks. Changes in the monetary or shock volatility regimes shift weight over these serial correlation parameters and affect the serial correlation properties of inflation. Estimation results indicate that a shift to a monetary regime that reacts more aggressively to inflation reduces the weight on the more persistent shocks, so lowers inflation persistence. Similarly, a shift to the low-volatility regime reduces the weight on the more persistent shocks and also contributes to reducing inflation persistence. Estimates of model-implied inflation persistence indicate that it began rising in the late 1960s and peaked around the Volcker disinflation. The subsequent decline in persistence is due to both a more aggressive monetary policy regime and less volatile shocks.

A Bayesian evaluation of alternative models of trend inflation

With the concept of trend inflation now widely understood as to be important as a measure of the public's perception of the inflation goal of the central bank and important to the accuracy of longer-term inflation forecasts, this paper uses Bayesian methods to assess alternative models of trend inflation. Reflecting models common in reduced-form inflation modeling and forecasting, we specify a range of models of inflation, including: AR with constant trend; AR with trend equal to last period's inflation rate; local level model; AR with random walk trend; AR with trend equal to the long-run expectation from the Survey of Professional Forecasters; and AR with time-varying parameters. We consider versions of the models with constant shock variances and with stochastic volatility. We first use Bayesian metrics to compare the fits of the alternative models. We then use Bayesian methods of model averaging to account for uncertainty surrounding the model of trend inflation, to obtain an alternative estimate of trend inflation in the U.S. and to generate medium-term, model-average forecasts of inflation. Our analysis yields two broad results. First, in model fit and density forecast accuracy, models with stochastic volatility consistently dominate those with constant volatility. Second, for the specification of trend inflation, it is difficult to say that one model of trend inflation is the best. Among alternative models of the trend in core PCE inflation, the local level specification of Stock and Watson (2007) and the survey-based trend specification are about equally good. Among competing models of trend GDP inflation, several trend specifications seem to be about equally good.Bayesian statistical decision theory ; Inflation (Finance) - Mathematical models ; Forecasting

Long run risks in the term structure of interest rates: estimation

This paper specifies and estimates a long run risks model with inflation by using the nominal term structure data in the United States from 1953 to 2006. The negative correlation between expected inflation and expected consumption growth in conjunction with the Epstein-Zin (1989) recursive preferences generates an upward sloping yield curve and fits the yield curve data better than the alternative specifications. However, the variations of the forward looking components of consumption growth and inflation in the estimated model are much smaller than implied by calibrated parameter values in the previous literature. An extended model with time varying volatilities alleviates this problem. In the extended model, estimated long run risks and volatilities, especially for inflation, are in line with survey data and the estimated inflation volatility explains a significant portion of the time variation of term premium.

Non-stationary hours in a DSGE model

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Relaxing these restrictions can close the gap between DSGE models and vector autoregressions. This paper modifies a simple stochastic growth model by incorporating permanent labor supply shocks that can generate a unit root in hours worked. Using Bayesian methods we estimate two versions of the DSGE model: the standard specification in which hours worked are stationary and the modified version with permanent labor supply shocks. We find that the data support the latter specification.Labor supply ; Hours of labor

Has The Effect of Monetary Policy Announcements On Asset Prices Changed?

The Federal Reserve has relied increasingly on communication to implement monetary policy. In addition to setting an intermeeting target for the federal funds rate, the Federal Open Market Committee (FOMC)—the Federal Reserve’s principal policymaking body—conveys information about the likely future path of the federal funds rate. As the target funds rate reached its effective lower bound during the recent financial crisis—limiting its usefulness as a policy tool—the FOMC began to increase its use of forward guidance about the likely path of the federal funds rate. The greater use of forward guidance as a policy tool has focused attention on its effectiveness in influencing the real economy. A key gauge of the usefulness of policy guidance is the response of asset prices, the channel through which monetary policy is transmitted to the real economy. Changes in policy guidance affect the private sector’s expectations about the future path of the federal funds rate, and those expectations i