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Working Paper
Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade
We create a new weekly index of retail trade that accurately predicts the U.S. Census Bureau's Monthly Retail Trade Survey (MRTS). The index's weekly frequency provides an early snapshot of the MRTS and allows for a more granular analysis of the aggregate consumer response to fast-moving events such as the Covid-19 pandemic. To construct the index, we extract the co-movement in weekly data series capturing credit and debit card transactions, foot traffic, gasoline sales, and consumer sentiment. To ensure that the index is representative of aggregate retail spending, we implementa novel ...
What’s New in CARTS 2.1? Updates to Our Index Tracking National Retail Sales
In this Chicago Fed Insights article, we provide an update on the Chicago Fed Advance Retail Trade Summary (CARTS). As readers may remember, CARTS debuted in mid-2021. A summary measure of multiple high-frequency indicators of retail sales (including payment card transactions, foot traffic, gas sales, and consumer sentiment), CARTS grew out of pandemic-era research that aimed to improve the timeliness and reliability of traditional measures of U.S. retail spending.
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.
Newsletter
Introducing the Chicago Fed’s New Adjusted National Financial Conditions Index
This article introduces improvements to the adjusted National Financial Conditions Index (ANFCI). Compared with the previous version, the new ANFCI uses an enhanced estimation procedure with a broader set of macroeconomic adjustment variables and produces a longer time series history.
What Does the NFCI Tell Us About Future Economic Growth?
The Federal Reserve’s policy tools rely on financial markets to transmit changes in monetary policy to the real economy. For instance, changes in short-term interest rates set by the Fed and faced by financial institutions—e.g., the federal funds rate—affect longer-term rates paid by firms and households. These rate changes in turn impact borrowing and spending decisions. Understanding the current state of financial conditions is, thus, both critical to central bankers and of interest to the wider public.
Initial UI Claims and Google Trends in the Post-Pandemic Era
Initial unemployment insurance (UI) claims are a weekly measure from the U.S. Department of Labor of how many new people have filed for unemployment benefits. A well-known leading indicator and one of the few official statistics released at a weekly frequency, initial UI claims are carefully monitored by economists for signs of turning points in economic activity. That said, they are at best an imperfect measure of turning points for several reasons: The information comes out with a lag, it is sensitive to changing seasonal patterns, and it is subject to revision. Given these challenges, ...
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 ...
Searching for “Inflation Canaries” in Household Surveys
Current surveys of household inflation expectations make it challenging to identify “inflation canaries”—individuals who consistently send out early and accurate warning signals for inflation. We propose some simple changes in survey design (longer, staggered survey panels) and emphasis (focusing on changes in expectations rather than levels and highlighting particularly accurate subpopulations) that have the potential to alleviate these concerns. To demonstrate, we provide several examples using the Federal Reserve Bank of New York’s Survey of Consumer Expectations.
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
Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade
We create a new weekly index of retail trade that accurately predicts the U.S. Census Bureau’s Monthly Retail Trade Survey (MRTS). The index’s weekly frequency provides an early snapshot of the MRTS and allows for a more granular analysis of the aggregate implications of policies implemented during the Covid-19 pandemic. To construct the index, we extract the co-movement in several weekly data series capturing credit & debit card transactions and revenues, mobility, and consumer sentiment as well as monthly retail and food services sales excluding automotive spending (ex. autos) from the ...