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Journal Article
Is a Nonseasonally Adjusted Median CPI a Useful Signal of Trend Inflation?
Since controlling inflation is a central monetary policy goal, monetary policymakers focus intently on inflation signals. But they face a major difficulty: inflation data contain a lot of transitory shocks. The presence of the transitory ?noise? in inflation data makes it difficult to detect early warnings of sustained movements. Responding to these transitory shocks would be a bad idea, because doing so would translate into policy swings and reversals and introduce uncertainty and volatility into the economy. Instead, policymakers attempt to respond to the sustained movements in ...
Working Paper
Variation in the Phillips Curve Relation across Three Phases of the Business Cycle
We use recently developed econometric tools to demonstrate that the Phillips curve unemployment rate?inflation rate relationship varies in an economically meaningful way across three phases of the business cycle. The first (?bust phase?) relationship is the one highlighted by Stock and Watson (2010): A sharp reduction in inflation occurs as the unemployment rate is rising rapidly. The second (?recovery phase?) relationship occurs as the unemployment rate subsequently begins to fall; during this phase, inflation is unrelated to any conventional unemployment gap. The final (?overheating phase?) ...
Working Paper
Location, Location, Structure Type: Rent Divergence within Neighborhoods
Housing rents are a large share of household budgets and make a large contribution to overall inflation. Rent inflation rates for different types of housing units sometimes diverge, even in the same neighborhoods. We estimate during 2013 to 2016 apartment rents outpaced rents for detached housing in the United States by 0.76 percentage points annually after controlling for location effects. These rent dynamics imply a segmented housing market. They also suggest rent indexes need to be based on data structurally representative of their measurement objective. In particular, indexes based on ...
Journal Article
Federal Funds Rates Based on Seven Simple Monetary Policy Rules
Monetary policymakers often use simple monetary policy rules, like the Taylor rule, as an input into their decision-making. However, there are many different simple rules, and there is no agreement on a single ?best? rule. We look at the federal funds rates coming from seven simple rules and three economic forecasts to investigate the range of results that can be produced. While there are some commonalities, we document that the differences in the federal funds rates suggested by the rules can be quite pronounced.
Journal Article
Whose Inflation Expectations Best Predict Inflation?
We examine the predictive relationship between various measures of inflation expectations and future inflation. We find that the expectations of professional economists and of businesses have tended to provide more accurate predictions of future inflation than the expectations of households and of financial market participants. However, the forecasts coming from a relatively simple and popular benchmark inflation forecasting model have historically been roughly as accurate as the expectations of businesses and professional economists.
Working Paper
Is It Time to Reassess the Focal Role of Core PCE Inflation?
In this paper, I review the history of “core” PCE inflation and its rationale: remove volatile items with transitory shocks to better highlight the trend in inflation. Structural changes in the inflation process imply that, on a “reducing volatility” basis, the list of items excluded from the “core” inflation basket (aside from gasoline) is far from optimal. This is true whether one assesses volatility on the basis of a weighted component monthly, or an index monthly, or a 12-month index, or a 5-year index. In addition, I demonstrate other deficiencies of exclusion indexes. ...
Working Paper
Thinking Outside the Box: Do SPF Respondents Have Anchored Inflation Expectations?
Despite the stability of the median 10-year inflation expectations in the Survey of Professional Forecasters (SPF) near 2 percent, we show that not a single SPF respondent?s expectations have been anchored at the target since the Federal Open Market Committee?s (FOMC) enactment of an inflation target in January 2012, or even since 2015. However, we find significant evidence for ?delayed anchoring,? or a move toward being anchored, particularly after the federal funds rate lifted off in December 2015.
Journal Article
Digging into the Downward Trend in Consumer Inflation Expectations
Since mid-2014, the long-run inflation expectations of consumers have been declining. Many commentators blame the decline on gasoline prices, which have also been falling since that time, but we argue that this explanation is incomplete. We analyze University of Michigan Surveys of Consumers microdata and find that a decline in uncertainty about future inflation is a modest part of the story over this period?but it represents the entire story when considering changes in expectations since 2012.
Working Paper
Late Payment Fees and Nonpayment in Rental Markets, and Implications for Inflation Measurement: Theoretical Considerations and Evidence
tatistical agencies track rental expenditures for use in the national accounts and in consumer price indexes (CPIs). As such, statistical agencies should include late payment fees and nonpayment in rent. In the US context, late payment fees are excluded from the CPI. Ostensibly, nonpayment of rent is included in the US CPI; but its treatment is deficient, and we demonstrate that small variations in nonpayment could lead to large swings in shelter inflation, and might have played a role in the 2009 measured shelter inflation collapse. They didn’t: while the national nonpayment incidence is ...
Working Paper
A New Tool for Robust Estimation and Identification of Unusual Data Points
Most consistent estimators are what Müller (2007) terms “highly fragile”: prone to total breakdown in the presence of a handful of unusual data points. This compromises inference. Robust estimation is a (seldom-used) solution, but commonly used methods have drawbacks. In this paper, building on methods that are relatively unknown in economics, we provide a new tool for robust estimates of mean and covariance, useful both for robust estimation and for detection of unusual data points. It is relatively fast and useful for large data sets. Our performance testing indicates that our baseline ...