Search Results
Working Paper
Forecasting Economic Activity with Mixed Frequency Bayesian VARs
Mixed frequency Bayesian vector autoregressions (MF-BVARs) allow forecasters to incorporate a large number of mixed frequency indicators into forecasts of economic activity. This paper evaluates the forecast performance of MF-BVARs relative to surveys of professional forecasters and investigates the influence of certain specification choices on this performance. We leverage a novel real-time dataset to conduct an out-of-sample forecasting exercise for U.S. real gross domestic product (GDP). MF-BVARs are shown to provide an attractive alternative to surveys of professional forecasters for ...
Journal Article
Preannounced tax cuts and their potential influence on the 2001 recession
The authors present a model in which anticipated future tax cuts, like those promised during the 2000 U.S. presidential campaign, generate a contraction in economic activity with some of the atypical features observed during the 2001 recession (such as its relatively strong consumption and home investment).
A Closer Look at the Correlation Between Google Trends and Initial Unemployment Insurance Claims
Since the onset of the pandemic, there has been growing interest in tracking labor market activity with “big data” sources like Google Trends.1 Just as an example, one can track how the number of Google searches with the term unemployment office has changed over the past week for the Chicago metro area or explore how unemployment became one of the top searched issues across the U.S. during the early months of the pandemic here.
Journal Article
Nowcasting Using the Chicago Fed National Activity Index
The authors present an alternative version of the Chicago Fed National Activity Index (CFNAI), which is constructed using a methodology that allows for a more robust treatment of the underlying data series than its traditional methodology. This alternative CFNAI produces superior predictions of real gross domestic product growth for the current quarter (nowcasts) while correlating more closely with U.S. recessions than the traditional index.
Working Paper
The perils of working with Big Data and a SMALL framework you can use to avoid them
The use of “Big Data” to explain fluctuations in the broader economy or guide the business decisions of a firm is now so commonplace that in some instances it has even begun to rival more traditional government statistics and business analytics. Big data sources can very often provide advantages when compared to these more traditional data sources, but with these advantages also comes the potential for pitfalls. We lay out a framework called SMALL that we have developed in order to help interested parties as they navigate the big data minefield. Based on a set of five questions, the SMALL ...
Newsletter
Looking down the road with ALEX: Forecasting U.S. GDP
In this article, we examine the recovery from the recession that began with the onset of the Covid-19 pandemic in the U.S. To do so, we present and discuss for the first time the results from a mixed-frequency Bayesian vector autoregressive model called ALEX. This model uses 107 monthly and quarterly indicators of economic activity to forecast the near-term path of U.S. real gross domestic product (GDP).
Journal Article
Monitoring financial stability: a financial conditions index approach
Monitoring financial stability requires an understanding of both how traditional and evolving financial markets relate to each other and how they relate to economic conditions. This article describes two new indexes of financial conditions that aim to quantify these relationships.
Journal Article
A New “Big Data” Index of U.S. Economic Activity
The authors present a new ?big data? index of U.S. economic activity that can be used to track business and inflation cycles in real time and estimate monthly real gross domestic product growth.
Working Paper
Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims
We leverage an event-study research design focused on the seven costliest hurricanes to hit the US mainland since 2004 to identify the elasticity of unemployment insurance filings with respect to search intensity. Applying our elasticity estimate to the state-level Google Trends indexes for the topic “unemployment,” we show that out-of-sample forecasts made ahead of the official data releases for March 21 and 28 predicted to a large degree the extent of the Covid-19 related surge in the demand for unemployment insurance. In addition, we provide a robust assessment of the uncertainty ...
Working Paper
Gathering insights on the forest from the trees: a new metric for financial conditions
By incorporating the Harvey accumulator into the large approximate dynamic factor framework of Doz et al. (2006), we are able to construct a coincident index of financial conditions from a large unbalanced panel of mixed frequency financial indicators. We relate our financial conditions index, or FCI, to the concept of a "financial crisis" using Markov-switching techniques. After demonstrating the ability of the index to capture "crisis" periods in U.S. financial history, we present several policy-geared threshold rules for the FCI using Receiver Operator Characteristics (ROC) curve ...