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Working Paper
Does data vintage matter for forecasting?
This paper illustrates the use of a real-time data set for forecasting. The data set consists of vintages, or snapshots, of the major macroeconomic data available at quarterly intervals in real time. The paper explains the construction of the data set, examines the properties of several of the variables in the data set across vintages, and shows how forecasts can be affected by data revisions.
Working Paper
Do Phillips curves conditionally help to forecast inflation?
This paper reexamines the forecasting ability of Phillips curves from both an unconditional and conditional perspective by applying the method developed by Giacomini and White (2006). We find that forecasts from our Phillips curve models tend to be unconditionally inferior to those from our univariate forecasting models. We also find, however, that conditioning on the state of the economy sometimes does improve the performance of the Phillips curve model in a statistically significant manner. When we do find improvement, it is asymmetric -- Phillips curve forecasts tend to be more accurate ...
Journal Article
First quarters in the national income and product accounts
Prompted by their expectations of an initial estimate of a marked slowdown in U.S. real gross domestic product growth in the first quarter of 2015, commentators and analysts have drawn attention to an apparent ?first-quarter effect? in the U.S. national income and product accounts
Working Paper
Evaluating McCallum's rule for monetary policy
Working Paper
Do Phillips curves conditionally help to forecast inflation?
The Phillips curve has long been used as a foundation for forecasting inflation. Yet numerous studies indicate that over the past 20 years or so, inflation forecasts based on the Phillips curve generally do not predict inflation any better than a univariate forecasting model. In this paper, the authors take a deeper look at the forecasting ability of Phillips curves from both an unconditional and a conditional view. Namely, they use the test results developed by Giacomini and White (2006) to examine the forecasting ability of Phillips curve models. The authors' main results indicate that ...
Working Paper
Mismeasured personal saving and the permanent income hypothesis
Is it possible to forecast using poorly measured data? According to the permanent income hypothesis, a low personal saving rate should predict rising future income (Campbell, 1987). However, the U.S. personal saving rate is initially poorly measured and has been repeatedly revised upward in benchmark revisions. The authors use both conventional and real-time estimates of the personal saving rate in vector autoregressions to forecast real disposable income; using the level of the personal saving rate in real time would have almost invariably made forecasts worse, but first differences of the ...
Working Paper
Does current-quarter information improve quarterly forecasts for the U.S. economy?
This paper presents new evidence on the benefits of conditioning quarterly model forecasts on monthly current-quarter data. On the basis of a quarterly Bayesian vector error corrections model, the findings indicate that such conditioning produces economically relevant and statistically significant improvement. The improvement, which begins as early as the end of the first week of the second month of the quarter, is largest in the current quarter, but in some cases, extends beyond the current quarter. Forecast improvement is particularly large during periods of recessions but generally extends ...
Journal Article
The relationship between capacity utilization and inflation
There's a common belief among economists that when there?s slack in the economy ? that is, when labor and capital are not fully employed ? the economy can expand without an increase in inflation. One measure of the intensity with which labor and capital are used in producing output is the capacity utilization rate. According to some economists, when capacity utilization is low, firms can increase employment and their use of capital without incurring large increases in the costs of production. So firms will not be forced to raise prices in order to make profits on additional output. But this ...
Working Paper
Macroeconomic forecasts and microeconomic forecasters in the Survey of Professional Forecasters
Do professional forecasters distort their reported forecasts in a way that compromises accuracy? New research in the theory of forecasting suggests such a possibility. In a recent paper, Owen Lamont finds that forecasters in the Business Week survey make more radical forecasts as they gain experience. In this paper, the authors uses forecasts from the Federal Reserve Bank of Philadelphia's Survey of Professional Forecasters to test the robustness of Lamont's results. The author's results contradict Lamont's. However, careful examination of a methodological difference in the two surveys ...