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Working Paper
Surveying Business Uncertainty
We elicit subjective probability distributions from business executives about their own-firm outcomes at a one-year look-ahead horizon. In terms of question design, our key innovation is to let survey respondents freely select support points and probabilities in five-point distributions over future sales growth, employment, and investment. In terms of data collection, we develop and field a new monthly panel Survey of Business Uncertainty (SBU). The SBU began in 2014 and now covers about 1,750 firms drawn from all 50 states, every major nonfarm industry, and a range of firm sizes. We find ...
Journal Article
Do rising rents complicate inflation assessment?
In the face of falling house prices, decreasing rates of homeownership, and a glut of vacant homes, the Consumer Price Index?s measure of the cost of owner-occupied housing?owners? equivalent rent of residence (OER)?has begun to accelerate, rising at an annualized rate of 2.3 percent over the past six months. Given a backdrop of generally subdued underlying inflation elsewhere in the index, a persistent increase in the relative price of OER?the largest component of the consumer market basket by far?may create upward pressure on measured inflation.
Working Paper
Lessons for forecasting unemployment in the United States: use flow rates, mind the trend
This paper evaluates the ability of autoregressive models, professional forecasters, and models that incorporate unemployment flows to forecast the unemployment rate. We pay particular attention to flows-based approaches?the more reduced-form approach of Barnichon and Nekarda (2012) and the more structural method in Tasci (2012)?to generalize whether data on unemployment flows are useful in forecasting the unemployment rate. We find that any approach that considers unemployment inflow and outflow rates performs well in the near term. Over longer forecast horizons, Tasci (2012) appears to be a ...
Working Paper
Trimmed-mean inflation statistics: just hit the one in the middle
This paper reinvestigates the performance of trimmed-mean inflation measures some 20 years since their inception, asking whether there is a particular trimmed mean measure that dominates the median CPI. Unlike previous research, we evaluate the performance of symmetric and asymmetric trimmed-means using a well-known equality of prediction test. We fi nd that there is a large swath of trimmed-means that have statistically indistinguishable performance. Also, while the swath of statistically similar trims changes slightly over different sample periods, it always includes the median CPI?an ...
Working Paper
The Impact of the COVID-19 Pandemic on Business Expectations
We document and evaluate how businesses are reacting to the COVID-19 crisis through August 2020. First, on net, firms see the shock (thus far) largely as a demand rather than supply shock. A greater share of firms reports significant or severe disruption to sales activity than to supply chains. We compare these measures of disruption to their expected changes in selling prices and find that, even for firms that report supply chain disruption, they expect to lower near-term selling prices on average. We also show that firms are engaging in wage cuts and expect to trim wages further before the ...
Journal Article
Simple ways to forecast inflation: what works best?
There are many ways to forecast the future rate of inflation, ranging from sophisticated statistical models involving hundreds of variables to hunches based on past experience. We generate a number of forecasts using a simple statistical model and an even simpler estimating rule, adding in various measures thought to be helpful in predicting the course of inflation. Then we compare their forecast accuracy. We find that no single specification outperforms all others over all time periods. For example, the median and 16 percent trimmed-mean measures outperform all other specifications during ...
Journal Article
An unstable Okun’s Law, not the best rule of thumb
Okun?s law is a statistical relationship between unemployment and GDP that is widely used as a rule of thumb for assessing the unemployment rate?why it might be at a certain level or where it might be headed, for example. Unfortunately, the Okun?s law relationship is not stable over time, which makes it potentially misleading as a rule of thumb.
Working Paper
Lessons for Forecasting Unemployment in the U.S.: Use Flow Rates, Mind the Trend
This paper evaluates the ability of autoregressive models, professional forecasters, and models that leverage unemployment flows to forecast the unemployment rate. We pay particular attention to flows-based approaches?the more reduced form approach of Barnichon and Nekarda (2012) and the more structural method in Tasci (2012)?to generalize whether data on unemployment flows is useful in forecasting the unemployment rate. We find that any approach that leverages unemployment inflow and outflow rates performs well in the near term. Over longer forecast horizons, Tasci (2012) appears to be a ...
COVID-19 Caused 3 New Hires for Every 10 Layoffs
Reports about the economic fallout from the coronavirus pandemic and efforts to slow its spread make for grim reading. One especially grim statistic is the number of layoffs. Since early March, just over 28 million persons have filed new claims for unemployment insurance benefits (roughly 30 million if you seasonally adjust).