Measuring Inflation Anchoring and Uncertainty: A U.S. and Euro Area Comparison

We use several U.S. and euro‐area surveys of professional forecasters to estimate a dynamic factor model of inflation featuring time‐varying uncertainty. We obtain survey‐consistent distributions of future inflation at any horizon, both in the U.S. and the euro area. Equipped with this model, we propose a novel measure of the anchoring of inflation expectations that accounts for inflation uncertainty. Our results suggest that following the Great Recession, inflation anchoring improved in the United States, while mild de‐anchoring occurred in the euro area. As of our sample end, both areas appear to be almost equally anchored.     

Heterogeneous Inflation Expectations and Learning

Using the panel component of the Michigan Survey of Consumers, we estimate a learning model of inflation expectations, allowing for heterogeneous use of private information and lifetime inflation experience. Life experience inflation has a significant impact on individual expectations, but only for 1‐year‐ahead inflation. Public information is substantially more relevant for longer horizon expectations. Even controlling for life experience inflation and public information, idiosyncratic information explains a nontrivial proportion of the inflation forecasts of agents. Women, ethnic minorities, and less educated agents have a higher degree of heterogeneity in their idiosyncratic information, and give less importance to recent movements in inflation.     

News on Inflation and the Epidemiology of Inflation Expectations

This paper examines the nexus between news coverage on inflation and households’ inflation expectations. In doing so, we test the epidemiological foundations of the sticky information model (Carroll 2003, 2006 ). We use both aggregate and household‐level data from the Survey Research Center at the University of Michigan. We highlight a fundamental disconnection among news on inflation, consumers’ frequency of expectation updating, and the accuracy of their expectations. Our evidence provides at best weak support to the epidemiological framework, as most of the consumers who update their expectations do not revise them toward professional forecasters’ mean forecast.     

Estimating Trend Inflation Based on Unobserved Components Model: Is It Correlated with the Inflation Gap?

Building on the work of Stock and Watson (2007), this paper empirically shows that a negative correlation between innovations to trend inflation and the inflation gap plays an important role in the dynamics of postwar U.S. inflation. Additional features that we incorporate in our model include regime‐switching inflation gap persistence and association between inflation and inflation uncertainty. The resulting estimate of trend inflation is smooth, and our model provides superior out‐of‐sample forecasts than Stock and Watson's (2007) unobserved components model with stochastic volatility or than Atkeson and Ohanian's (2001) random walk model does.     

A New Model of Inflation,Trend Inflation,and Long‐Run Inflation Expectations

This paper develops a bivariate model of inflation and a survey‐based long‐run forecast of inflation that allows for the estimation of the link between trend inflation and the long‐run forecast. Thus, our model allows for the possibilities that long‐run forecasts taken from surveys can be equated with trend inflation, that the two are completely unrelated, or anything in between. Using a variety of inflation measures and survey‐based forecasts for several countries, we find that long‐run forecasts can provide substantial help in refining estimates and fitting and forecasting inflation. It is less helpful to simply equate trend inflation with the long‐run forecasts.     

Unstable Inflation Targets

This paper studies long‐run inflation targets and stability in an imperfect information environment. When central banks set an inflation target that is not fully communicated, agents draw inferences about inflation from recent data and remain alert to structural change by forming expectations from a forecasting model that is estimated via discounted least squares. Inflation targets can lead agents' beliefs to depart from rational expectations through two channels. First, implementing a higher inflation target can lead to overshooting. Second, there can be nearly self‐fulfilling inflation, disinflation, or deflation that arises as an endogenous response to shocks. Policy implications for implementing a higher target without deanchoring expectations are discussed.     

A Phillips Curve with Anchored Expectations and Short‐Term Unemployment

This paper examines the behavior of U.S. core inflation, as measured by the weighted median of industry price changes. We find that core inflation since 1985 is well‐explained by an expectations‐augmented Phillips curve in which expected inflation is measured with professional forecasts and labor‐market slack is captured by the short‐term unemployment rate. We also find that expected inflation was backward‐looking until the late 1990s, but then became strongly anchored at the Federal Reserve's target. This shift in expectations changed the relationship between inflation and unemployment from an accelerationist Phillips curve to a level‐level Phillips curve. Our specification explains why high unemployment during the Great Recession did not reduce inflation greatly: partly because inflation expectations were anchored, and partly because short‐term unemployment rose less sharply than total unemployment.     

Inflation Expectations and Risk Premiums in an Arbitrage‐Free Model of Nominal and Real Bond Yields

Differences between yields on comparable‐maturity U.S. Treasury nominal and real debt, the so‐called breakeven inflation (BEI) rates, are widely used indicators of inflation expectations. However, better measures of inflation expectations could be obtained by subtracting inflation risk premiums (IRP) from the BEI rates. We provide such decompositions using an affine arbitrage‐free model of the term structure that captures the pricing of both nominal and real Treasury securities. Our empirical results suggest that long‐term inflation expectations have been well anchored over the past few years, and IRP, although volatile, have been close to zero on average.     

Effective Use of Survey Information in Estimating the Evolution of Expected Inflation

The evolution of the term structure of expected U.S. inflation is modeled using survey data to provide timely information on structural change not contained in lagged inflation data. To capture shifts in subjective perceptions, the model is adaptive to long‐horizon survey expectations. However, even short‐horizon survey expectations inform shifting‐endpoint estimates that capture the lag between inflation and the perceived inflation target, which anchors inflation expectations. Results show movements of the perceived target are an important source of inflation persistence and suggest historical U.S. monetary policy was not fully credible for much of the postwar sample.     

世界主要经济体通货膨胀预期的异质性研究

本文构建了中国、日本、美国和欧元区通货膨胀预期不确定性的GARCH度量模型,并利用广义脉冲响应函数、格兰杰因果关系检验和TFGARCH模型信息反映曲线等实证技术分析了1983年1月至2010年7月世界主要经济体通货膨胀及其预期不确定性之间的关系.研究发现:世界主要经济体通货膨胀及其预期不确定性关系的差距取决于各国中央银行的独立性,相对于其他经济体,对通货膨胀的控制比追求经济增长更重要,中国的货币政策应及早实施通货膨胀目标制.     

Using Survey Data of Inflation Expectations in the Estimation of Learning and Rational Expectations Models

Does survey data contain useful information for estimating macroeconomic models? We address this question by using survey data of inflation expectations to estimate the New Keynesian model by Smets and Wouters ( 2007 ) and compare its performance under rational expectations and adaptive learning. The survey information serves as an additional moment restriction and helps us to determine the learning agents' forecasting model for inflation. Adaptive learning fares similarly to rational expectations in fitting macro data, but clearly outperforms rational expectations in fitting macro and survey data simultaneously. In other words, survey data contain additional information that is not present in the macro data alone.     

A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area

This paper examines point and density forecasts of real GDP growth, inflation, and unemployment from the European Central Bank's Survey of Professional Forecasters. We analyze individual uncertainty measures as well as introduce individual point‐ and density‐based disagreement measures. The analysis indicates forecasters’ uncertainty and disagreement display substantial heterogeneity and persistence, with the latter feature challenging a key prediction of expectations models emphasizing information frictions. We also find that uncertainty is characterized by prominent respondent effects and disagreement by prominent time effects, suggesting these divergent properties underlie the well‐documented weak uncertainty–disagreement linkage. Taken together, our results provide a basis for further development of expectations models.     

Inflation Targeting,Recursive Inattentiveness,and Heterogeneous Beliefs

We consider a monetary authority that provides an explicit inflation target in order to align expectations with the policy objective. However, biased perceptions of the target may arise due to imperfect information flows. We allow agents to revise expectations over time and we model their recursive choice among prediction strategies as an optimization problem under rational inattention. We then investigate whether a simple policy rule can steer the economy toward the targeted equilibrium. Our findings suggest that determinacy under rational expectations may not be sufficient to reach the target. Instead, monetary policy should be fine‐tuned to correct agents' biased beliefs.     

Disagreement in Consumer Inflation Expectations

By carefully matching the data sets from the Michigan Survey of Consumers with the Survey of Professional Forecasters, we show that there exists substantial heterogeneity in the propensity of U.S. households to learn from experts in forming inflation expectations. Additional results for a group of European economies broadly confirm this observation. We advance an extended version of the sticky-information model to analyze disagreement in consumer inflation expectations. Besides differences in consumers' propensities to learn, disagreement in our model arises from heterogeneity in consumers' fundamental inflation and past expectations and experts' different views about future inflation.     

Inflation–growth nexus: some bivariate EGARCH evidence for Bangladesh

This study examines the inflation–growth nexus for Bangladesh over the period 1976–2009 in a bivariate exponential generalized autoregressive conditional heteroscedasticity in mean (EGARCH-M) model. This work finds that both growth and inflation adversely affect each other in a lagged fashion in Bangladesh. Inflation uncertainty appears to be conducive to growth for the country, contradicting the Friedman hypothesis. Growth uncertainty, which is also thought to be inimical to growth, affects the average growth rate positively. Thus, the Central Bank should shift its target from controlling inflation uncertainty to reducing a rise in inflation to ensure faster growth in Bangladesh.     

Inflation Expectations,Inflation Target Credibility,and the COVID-19 Pandemic: Evidence from Germany

Using the exact wording of the European Central Bank's definition of price stability, we started a representative online survey of German citizens in January 2019 that is designed to measure long-term inflation expectations and the credibility of the inflation target. Our results indicate that credibility has decreased in our sample period, particularly in the course of the deep recession implied by the Covid-19 pandemic. Interestingly, even though inflation rates in Germany have been clearly below 2% for several years, credibility has declined mainly because Germans increasingly expect that inflation will be much higher than 2% over the medium term. We investigate how inflation expectations and the impact of the pandemic depend on personal characteristics including age, gender, education, and political attitude.     

Out of Bounds: Do SPF Respondents Have Anchored Inflation Expectations?

Since the Federal Open Market Committee announced a 2% inflation target in 2012, the median long-run inflation forecast of professional forecasters has been near target. We show, however, that most individual forecasters' long-run inflation expectations fluctuate substantially, with sizeable departures from target. We propose a new “bounds anchoring” indicator based on deviations of individuals' long-run forecasts from target. This indicator sheds new light on gradual changes in expectations since the 2012 announcement. We find that bounds anchoring gradually strengthened in the years following the target announcement, but that this trend has recently started to reverse.     

A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations

We study the evolution of U.S. inflation by means of a new noncausal autoregressive model with time‐varying parameters that outperforms the corresponding causal and constant‐parameter noncausal models in terms of fit and forecast accuracy. Our model also beats the unobserved component stochastic volatility (UCSV) model, one of the best‐performing univariate inflation forecasting models, in terms of both point and density forecasts. We also show how the new Keynesian Phillips curve can be estimated based on our noncausal model. Both expected and lagged inflation turn out important, but the former dominates in determining the current inflation.     

Inflation Dynamics When Inflation Is Near Zero

We discuss the likely evolution of U.S. inflation in the near and medium terms on the basis of (i) past U.S. experience with very low levels of inflation, (ii) the most recent Japanese experience with negative inflation, and (iii) some preliminary U.S. micro evidence on downward nominal wage rigidity. Our findings question the view that stable long‐run inflation expectations and downward nominal wage rigidity will necessarily provide sufficient support to prices to avoid further declines in inflation. We show that an inflation model fitted on Japanese data over the past 20 years, which accounts for both short‐ and long‐run inflation expectations, matches the recent U.S. inflation experience quite well. While the model indicates that U.S. inflation might be subject to a lower bound, it does not rule out a prolonged period of low inflation or even mild deflation going forward. In addition, micro‐level data on wages suggest no obvious downward rigidity in the firm's wage bill, downward rigidity in individual wages notwithstanding. As a consequence, downward nominal wage rigidity may not be enough to offset deflationary pressures in the current situation.     

Economic Literacy and Inflation Expectations: Evidence from a Laboratory Experiment

We present experimental evidence of a link between economic literacy and inflation forecast accuracy. The experiment investigates two channels through which economic literacy may enable better forecasts: (i) choice of information and (ii) use of information. More literate subjects choose more relevant information and use the given information more effectively. Starting from a 10th percentile score, the boost in literacy from taking an economics course predicts a 0.64 standard deviation decline in mean absolute forecasting error. Our findings suggest that a significant portion of demographic heterogeneity in inflation expectations—observed in survey data—may be driven by heterogeneity in economic literacy.