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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 ...
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 ...
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 ...
Newsletter
Persistently Pessimistic: Consumer and Small Business Sentiment After the Covid Recession
Both consumer and small business sentiment indexes remain very pessimistic by historical standards. In this article, we take a closer look at possible explanations. Our analysis suggests that after the Covid-19 recession in the United States, the responses of consumers and small business owners to sentiment-related surveys have become less sensitive to labor market conditions.
What Can Revisions to the NFCI Tell Us About Stock Market Volatility?
In this blog post, we document that recent revisions to the Chicago Fed’s National Financial Conditions Index (NFCI) have been large and clustered in time—a pattern not seen since the 2007–09 global financial crisis. As financial conditions tightened early on during the Covid-19 outbreak here in the U.S., there were large positive revisions to the NFCI through much of March. We show that revisions of this magnitude and in this direction have often preceded substantial increases in stock market volatility. More recently, in late March and April, the large negative revisions to the NFCI ...
Measuring the Decline in Economic Activity During the Covid-19 Pandemic
On June 8, 2020, the National Bureau of Economic Research (NBER) issued a statement announcing that its Business Cycle Dating Committee determined U.S. economic activity had reached a cyclical peak in February 2020. Beginning in March 2020, a multitude of economic indicators declined sharply as public health orders that required nonessential businesses to close were implemented during the early stages of the Covid-19 pandemic here in the U.S. The declines then accelerated in April as these orders were expanded to cover nearly the entire country. However, the data for May released so far seem ...
Working Paper
Predicting Benchmarked US State Employment Data in Real Time
US payroll employment data come from a survey and are subject to revisions. While revisions are generally small at the national level, they can be large enough at the state level to alter assessments of current economic conditions. Users must therefore exercise caution in interpreting state employment data until they are “benchmarked” against administrative data 5–16 months after the reference period. This paper develops a state-space model that predicts benchmarked state employment data in real time. The model has two distinct features: 1) an explicit model of the data revision process ...
Newsletter
Measuring the Effects of the Covid-19 Delta Wave on the U.S. Hourly Labor Market
In this article, we take a closer look at the implications of rising Covid-19 cases and vaccination rates for the U.S. hourly labor market. To do so, we rely on geographic variation in the high-frequency data collected by the firm Homebase with its timekeeping software. This data source allows us to make use of U.S. state-level variation on a daily basis in order to decompose the effects on hourly employees and hours worked from both rising cases and vaccinations.
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 ...
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.