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Journal Article
Do macro variables help forecast interest rates?
Some recent research has suggested that macroeconomic variables, such as output and inflation, can improve interest rate forecasts. However, the evidence for this puzzling result is based on unreliable statistical tests. A new simple method more reliably assesses which variables are useful for forecasting. The results from this method suggest that some of the published evidence on the predictive power of macroeconomic variables may be spurious, supporting the more traditional view that current interest rates contain all the relevant information for predicting future interest rates.
Working Paper
The market-perceived monetary policy rule
We introduce a novel method for estimating a monetary policy rule using macroeconomic news. Market forecasts of both economic conditions and monetary policy are affected by news, and our estimation links the two effects. This enables us to estimate directly the policy rule agents use to form their expectations, and in so doing flexibly capture the particular dynamics of policy response. We find evidence that between 1994 and 2007 the market-perceived Federal Reserve policy rule changed: the output response vanished, and the inflation response path became more gradual but larger in long-run ...
Working Paper
Measuring the liquidity effect
This paper develops a measure of the immediate effect on the federal funds rate of an open market operation. Because open market operations are often responses to current or anticipated economic developments, there is a serious problem of simultaneous equations bias in measuring this effect. This paper resolves this problem by developing a proxy for the errors the Federal Reserve makes in forecasting the extent to which Treasury operations will add or drain reserves available to private banks. These errors induce fluctuations in bank reserve which have measurable consequences for the ...
Working Paper
Robust bond risk premia
A consensus has recently emerged that a number of variables in addition to the level, slope, and curvature of the term structure can help predict interest rates and excess bond returns. We demonstrate that the statistical tests that have been used to support this conclusion are subject to very large size distortions from a previously unrecognized problem arising from highly persistent regressors and correlation between the true predictors and lags of the dependent variable. We revisit the evidence using tests that are robust to this problem and conclude that the current consensus is wrong. ...
Working Paper
Causes and consequences of the oil shock of 2007–08
This paper explores similarities and differences between the run-up of oil prices in 2007??08 and earlier oil price shocks, looking at what caused the price increase and what effects it had on the economy. Whereas historical oil price shocks were primarily caused by physical disruptions of supply, the price run-up of 2007??08 was caused by strong demand confronting stagnating world production. Although the causes were different, the consequences for the economy appear to have been very similar to those observed in earlier episodes, with significant effects on overall consumption spending and ...
Discussion Paper
Factors in Unemployment Dynamics
The U.S. unemployment rate averaged 8.4% during the first five years of recovery from the Great Recession of 2007-2009, the weakest recovery on record. But as the expansion continued, unemployment continued to decline and by 2018 reached the lowest levels in almost half a century. In this Note, we explore why unemployment remained so high for so long, and what factors contributed to the recent lows.
Working Paper
Heterogeneity and Unemployment Dynamics
This paper develops new estimates of flows into and out of unemployment that allow for unobserved heterogeneity across workers as well as direct effects of unemployment duration on unemployment-exit probabilities. Unlike any previous paper in this literature, we develop a complete dynamic statistical model that allows us to measure the contribution of different shocks to the short-run, medium-run, and long-run variance of unemployment as well as to specific historical episodes. We find that changes in the inflows of newly unemployed are the key driver of economic recessions and identify an ...
Working Paper
Measuring Labor-Force Participation and the Incidence and Duration of Unemployment
The underlying data from which the U.S. unemployment rate, labor-force participation rate, and duration of unemployment are calculated contain numerous internal contradictions. This paper catalogs these inconsistencies and proposes a reconciliation. We find that the usual statistics understate the unemployment rate and the labor-force participation rate by about two percentage points on average and that the bias in the latter has increased since the Great Recession. The BLS estimate of the average duration of unemployment overstates by 50% the true duration of uninterrupted spells of ...
Journal Article
What's real about the business cycle?
This paper argues that a linear statistical model with homoskedastic errors cannot capture the nineteenth-century notion of a recurring cyclical pattern in key economic aggregates. A simple nonlinear alternative is proposed and used to illustrate that the dynamic behavior of unemployment seems to change over the business cycle, with the unemployment rate rising more quickly than it falls. Furthermore, many but not all economic downturns are also accompanied by a dramatic change in the dynamic behavior of short-term interest rates. It is suggested that these nonlinearities are most naturally ...
Working Paper
Normalization in econometrics
The issue of normalization arises whenever two different values for a vector of unknown parameters imply the identical economic model. A normalization does not just imply a rule for selecting which point, among equivalent ones, to call the maximum likelihood estimator (MLE). It also governs the topography of the set of points that go into a small-sample confidence interval associated with that MLE. A poor normalization can lead to multimodal distributions, disjoint confidence intervals, and very misleading characterizations of the true statistical uncertainty. This paper introduces the ...