Monetary policy regimes and the term structure of interest rates

US monetary policy is investigated using a regime-switching no-arbitrage term structure model that relies on inflation, output, and the short interest rate as factors. The model is complemented with a set of assumptions that allow the dynamics of the private sector to be separated from monetary policy. The monetary policy regimes cannot be estimated if the yield curve is ignored during estimation. Counterfactual analysis evaluates importance of regimes in policy and shocks for the great moderation. The low-volatility regime of exogenous shocks plays an important role. Monetary policy contributes by trading off asymmetric responses of output and inflation under different regimes.     

货币政策地区效应——基于地区总供给曲线的理论与实证分析

本文着重检验了我国区域经济中的基于产出缺口的地区短期总供给曲线的存在性,进而分析地区短期总供给曲线对货币政策地区效应的影响。文章首先对地区短期总供给曲线存在的可能性进行了理论解释,应用卡尔曼滤波方法估算了我国各地区的产出缺口,然后运用ARMA模型说明预期通货膨胀率形成机制,最后以通货膨胀率与其预期之差、外部需求冲击等作为解释变量对产出缺口进行回归,结果发现,我国东部地区的短期总供给曲线较中西部地区的短期总供给曲线更平坦,因而东部地区货币政策效应要强于中西部地区。     

DSGE forecasts of the lost recovery

The years following the Great Recession were challenging for forecasters. Unlike other deep downturns, this recession was not followed by a swift recovery, but instead generated a sizable and persistent output gap that was not accompanied by deflation as a traditional Phillips curve relationship would have predicted. Moreover, the zero lower bound and unconventional monetary policy generated an unprecedented policy environment. We document the actual real-time forecasting performance of the New York Fed dynamic stochastic general equilibrium (DSGE) model during this period and explain the results using the pseudo real-time forecasting performance results from a battery of DSGE models. We find the New York Fed DSGE model’s forecasting accuracy to be comparable to that of private forecasters, and notably better for output growth than the median forecasts from the FOMC’s Summary of Economic Projections. The model’s financial frictions were key in obtaining these results, as they implied a slow recovery following the financial crisis.     

Monetary policy,financial uncertainty,and secular stagnation

A monetary policy framework describing how to cope with a financial crisis might alleviate a recession; however, it might also result in subsequent secular stagnation. Based on an empirical New Keynesian model with financial uncertainty, this study investigates how monetary policy can avoid sluggish economic recovery in response to financial shocks. The results show that a protracted sluggish response of an output gap to a financial shock is triggered by inflation targeting, without considering interest rate variations. In such a policy, the uncertainty causes additional sluggish behavior after a sharp reduction in the output gap. In contrast, in a speed limit policy, the output gap recovers rapidly, regardless of the central bank’s approach to interest rate variations, and the uncertainty mitigates reductions in the output gap. Finally, the results are robust under several alternative settings.     

The Phillips curve behavior over different horizons

This article examines the historical behavior of the Phillips curve over frequency bands corresponding to the short run, the business cycle and long run horizons. Data transformed using band-pass filtering methods and the Hodrick-Prescott filter suggest that a negative correlation between inflation and unemployment and a positive correlation between inflation and output growth exist within the business cycle horizon of 3 to 8 years. During the post-war period, the relationships change signs at low frequencies, indicating a positive sloped Phillips curve over long horizons. Additionally, the Phillips curve is found structurally unstable not only across frequencies, but also over time.     

The effect of seasonal adjustment on the properties of business cycle regimes

We study the impact of seasonal adjustment on the properties of business cycle expansion and recession regimes using analytical, simulation and empirical methods. Analytically, we show that the X‐11 adjustment filter both reduces the magnitude of change at turning points and reduces the depth of recessions, with specific effects depending on the length of the recession. A Monte Carlo analysis using Markov‐switching models confirms these properties, with particularly undesirable effects in delaying the recognition of the end of a recession. However, seasonal adjustment can help to clarify the true regime when this is well underway. These results continue to hold when a seasonally non‐stationary process with regime‐dependent mean is misspecified as one with deterministic seasonal effects. The empirical findings, based on four coincident US business cycle indicators, reinforce the analytical and simulation results by showing that seasonal adjustment leads to the identification of longer and shallower recessions than obtained using unadjusted data. Copyright © 2008 John Wiley & Sons, Ltd.     

Estimating and Forecasting the Yield Curve Using A Markov Switching Dynamic Nelson and Siegel Model

We estimate versions of the Nelson–Siegel model of the yield curve of US government bonds using a Markov switching latent variable model that allows for discrete changes in the stochastic process followed by the interest rates. Our modeling approach is motivated by evidence suggesting the existence of breaks in the behavior of the US yield curve that depend, for example, on whether the economy is in a recession or a boom, or on the stance of monetary policy. Our model is parsimonious, relatively easy to estimate and flexible enough to match the changing shapes of the yield curve over time. We also derive the discrete time non‐arbitrage restrictions for the Markov switching model. We compare the forecasting performance of these models with that of the standard dynamic Nelson and Siegel model and an extension that allows the decay rate parameter to be time varying. We show that some parametrizations of our model with regime shifts outperform the single‐regime Nelson and Siegel model and other standard empirical models of the yield curve. Copyright © 2014 John Wiley & Sons, Ltd.     

Identifying the new Keynesian Phillips curve

Phillips curves are central to discussions of inflation dynamics and monetary policy. The hybrid new Keynesian Phillips curve (NKPC) describes how past inflation, expected future inflation, and a measure of real aggregate demand drive the current inflation rate. This paper studies the (potential) weak identification of the NKPC under Generalized Method of Moments and traces this syndrome to a lack of higher‐order dynamics in exogenous variables. We employ analytic methods to understand the economics of the NKPC identification problem in the canonical three‐equation, new Keynesian model. We revisit the empirical evidence for the USA, the UK, and Canada by constructing tests and confidence intervals based on the Anderson and Rubin ( 1949 ) statistic, which is robust to weak identification. We also apply the Guggenberger and Smith ( 2008 ) LM test to the underlying NKPC pricing parameters. Both tests yield little evidence of forward‐looking inflation dynamics. Copyright © 2008 John Wiley & Sons, Ltd.     

Monetary policy credibility: A Phillips curve view

The paper investigates the presence of monetary policy credibility in eight countries by filtering the residuals from an “augmented” Phillips curve. Two of the eight countries (US and New Zealand) exhibit robust credibility effects across samples. Two countries (South Africa and the UK) exhibit credibility effects in the sample involving the 1990s, but these effects disappear in the sample beginning in 2000. The rest of the countries do not exhibit monetary policy credibility. Given that seven of the eight countries have adopted an explicit inflation-targeting framework, we conclude that there is very weak evidence that this framework enhances monetary policy credibility. These results are however sensitive to how inflation and the output gap are measured.     

A Markov Switching Factor‐Augmented VAR Model for Analyzing US Business Cycles and Monetary Policy

This paper develops a Markov switching factor‐augmented vector autoregression to investigate the transmission mechanisms of monetary policy for distinct stages of the US business cycle. We assume that autoregressive parameters and covariance matrices of the error terms are regime dependent, driven by an unobserved Markov indicator. Endogenously determined transition probabilities are governed by an underlying probit model that features a large set of possible predictors. The empirical findings provide evidence for differences in the transmission of monetary policy shocks that mainly stem from heterogeneity in the responses of financial market quantities.     

Effect of monetary policy shocks on the racial unemployment rates in the US

This study analyzes the effect of monetary policy shocks on the unemployment rate of different racial groups in the US, using data from 1969Q2 to 2015Q4. Employing a narrative approach to identify monetary policy shocks and local projections, we find that although an expansionary monetary shock affects White workers positively and significantly, the effect on Black workers is larger, and for Hispanic workers it is not statistically different from zero. These results are robust when considering unconventional monetary policy measures in the specification, and when exploring the impact of monetary policy on different genders and age groups. We also highlight how recession affects the transmission channel of monetary policy to the labor market for White and Hispanic workers. Finally, further extensions suggest that the Fed’s monetary policy is effective in reducing the racial unemployment gap, particularly between Whites and Blacks, and during economic booms.     

What does a Monetary Policy Shock Do? An International Analysis with Multiple Filters*

What does a monetary policy shock do? We answer this question by estimating a new‐Keynesian monetary policy dynamic stochastic general equilibrium model for a number of economies with a variety of empirical proxies of the business cycle. The effects of two different policy shocks, an unexpected interest rate hike conditional on a constant inflation target and an unpredicted drift in the inflation target, are scrutinized. Filter‐specific Bayesian impulse responses are contrasted with those obtained by combining multiple business cycle indicators. Our results document the substantial uncertainty surrounding the estimated effects of these two policy shocks across a number of countries.     

Assessing the Powell policy review

To understand both how it controls inflation and how it trades off inflation with its goal of maximum employment, the Federal Reserve System uses a Keynesian framework in which monetary policy moves the unemployment rate relative to a presumed full employment value, termed the NAIRU (non‐accelerating inflation rate of unemployment). Because it does not know the value of the NAIRU, it pursues an expansionary monetary policy until inflation rises. This policy risks reviving the inflationary monetary policy of the 1970s.     

A time-varying volatility approach to modeling the phillips curve: A cross-country analysis

This research examines the Phillips curve price adjustment mechanism allowing for the conditional variance of inflation to be time varying. Specifically, we estimate ARCH and GARCH models of inflation for Canada, Japan, and the U.K. The results suggest that an increase in the conditional variability of inflation leads to higher levels of inflation. In addition, inclusion of inflation variability in the Phillips curve model results in a higher weight being attributed to the output gap than in traditional models. (JEF E24)     

Market reforms in the time of imbalance

We study the consequences of product and labor market reforms in a two-country model with endogenous producer entry and labor market frictions. We focus on the role of business cycle conditions and external constraints at the time of reform implementation (or of a credible commitment to it) in shaping the dynamic effects of such policies. Product market reform is modeled as a reduction in entry costs and takes place in a non-traded sector that produces services used as input in manufacturing production. Labor market reform is modeled as a reduction in firing costs and/or unemployment benefits. We find that business cycle conditions at the time of deregulation significantly affect adjustment. A reduction of firing costs entails larger and more persistent adverse short-run effects on employment and output when implemented in a recession. By contrast, a reduction in unemployment benefits boosts employment and output by more in a recession compared to normal times. The impact of product market reforms is less sensitive to business cycle conditions. Credible announcements about future reforms induce sizable short-run dynamics, regardless of whether the announcement takes place in normal times or during an economic downturn. Whether the immediate effect is expansionary or contractionary varies across reforms. Finally, lack of access to international lending in the wake of reform can amplify the costs of adjustment.     

Can inflation data improve the real‐time reliability of output gap estimates?

Potential output plays a central role in monetary policy and short‐term macroeconomic policy making. Yet, characterizing the output gap involves a trend‐cycle decomposition, and unobserved component estimates are typically subject to a large uncertainty at the sample end. An important consequence is that output gap estimates can be quite inaccurate in real time, as recently highlighted by Orphanides and van Norden ( 2002 ), and this causes a serious problem for policy makers. For the cases of the US, EU‐11 and two EU countries, we evaluate the benefits of using inflation data for improving the accuracy of real‐time estimates. Copyright © 2004 John Wiley & Sons, Ltd.     

Are financial spreads useful indicators of future inflation and output growth in EU countries?

This paper seeks to address the policy issue of the usefulness of financial spreads as indicators of future inflation and output growth in the countries of the European Union, placing a particular focus on out-of-sample forecasting performance. Such analysis is of considerable relevance to monetary authorities, given the breakdown of the money/income relation in a number of countries and following increased emphasis of domestic monetary policy on control of inflation following the broadening of the ERM bands. The results confirm that for some countries, financial spread variables do contain some information about future output growth and inflation, with the yield curve and the reverse yield gap performing best. However, the relatively poor out-of-sample forecasting performance and/or parameter instability suggests that the need for caution in using spread variables for forecasting in EU countries. Only a small number of spreads contain information, and improve forecasting in a manner which is stable over time. © 1997 John Wiley & Sons, Ltd.     

Monetary policy with interest on reserves

I analyze monetary policy with interest on reserves and a large balance sheet. I show that conventional theories do not determine inflation in this regime, so I base the analysis on the fiscal theory of the price level. I find that monetary policy can peg the nominal rate, and determine expected inflation. With sticky prices, monetary policy can also affect real interest rates and output, though higher interest rates raise output and then inflation. The conventional sign requires a coordinated fiscal–monetary policy contraction. I show how conventional new-Keynesian models also imply strong monetary–fiscal policy coordination to obtain the usual signs. I address theoretical controversies. A concluding section places our current regime in a broader historical context, and opines on how optimal fiscal and monetary policy will evolve in the new regime.     

Revealing the preferences of the US Federal Reserve

We use Bayesian methods to estimate changes in US post‐war monetary policy in the Smets and Wouters model. We perform the estimations by allowing for a break in monetary policy at the time of Volcker's appointment as chairman. This enables us to capture changes in the monetary policy regime introduced by Volcker during the Volcker–Greenspan period. We find support for the assumption that monetary policy in the Volcker–Greenspan period performed optimally under commitment. Our estimation strategy allows us to estimate the preferences of the US Federal Reserve in the Volcker–Greenspan period, where the main objective of policy appears to be inflation, followed by interest rate stabilization, output growth and interest rate smoothing. We find that the Great Moderation of output growth is explained by a combination of two factors: the decrease in the volatility of the structural shocks and the improved monetary policy conduct. Inflation Stabilization, however, is mainly due to the change in monetary policy that took place at the beginning of Volcker's mandate. Copyright © 2010 John Wiley & Sons, Ltd.     

Do enlarged fiscal deficits cause inflation? The historical record

We survey the historical record for two centuries on the connection between expansionary fiscal policy and inflation. The relationship holds in wartime when fiscally stressed governments resorted to the inflation tax. In two peacetime episodes in the early twentieth century, bond‐financed fiscal deficits, unbacked by future taxes, may have contributed to inflation. Fiscal influence on monetary policy was important in the Great Inflation 1965–1983. Expansionary monetary and fiscal policy did not lead to inflation in the Global Financial Crisis of 2007–08 but, by contrast, the fiscal and monetary response to the COVID‐19 pandemic may involve risks of fiscal dominance and future inflation.