Data Briefs

CROWE Data Briefs are short, regular reports meant to highlight timely and important topics. The format is short, punchy, and centered around a few key pieces of data. Data briefs bring economic and policy discussions down to the personal level, showing how economic issues affect individuals and communities.

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"Reopening the Economy: Early Evidence from Georgia" by Noah Williams, May 14, 2020 (updated May 29, 2020)

Abstract
After implementing stay-at-home orders to slow the spread of the COVID-19, over the past couple of weeks, a number of states have moved toward “reopening” their economies. Georgia has had one of the earliest and most comprehensive reopening plans. I compare economic activity in Georgia and Wisconsin, which had remained under a stay-at home order until a recent state Supreme Court decision. I find that activity in both states was very similar during the early pandemic and stay-at-home orders. However the removal of restrictions in Georgia has been followed by a 10 percentage point increase in activity over the past three weeks, with slightly larger gains in industries particularly targeted for earlier reopening. Activity in Georgia remains 35% below 2019 levels, thus the gains after reopening accounted for roughly 22% of the gap (10 points out of 45), consistent with previous causal estimates of the impact of stay-at-home orders.

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"Measuring proximity to others in the workplace" by Kim Ruhl, May 5, 2020

Overview

As governments grapple with the costs of social distancing, a discussion has emerged about how “reopening” the economy might work. Most proposals suggest a staged reopening, beginning with relatively low-risk sectors. How can we identify low-risk sectors? In this brief we use data on the proximity to others while working to study this issue.

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"The Impact of Statewide Stay-at-Home Orders: Estimating the Heterogeneous Effects Using GPS Data from Mobile Devices" by Junjie Guo, April 29, 2020

Overview
In response to the spread of COVID-19, most states in the U.S. have ordered nonessential businesses to close and residents to not leave home unless necessary. This paper estimates the impact of these stay-at-home orders on the mobility of Americans using GPS data from mobile devices. Recognizing the heterogeneity in both mobility and the orders across states, I use the synthetic control method at the state level to estimate the impact of individual orders instead of pooling them together for an average effect. I find the impact does vary significantly across orders/states. For example, the estimates suggest that the orders in Michigan and Wisconsin increased the fraction of their residents at home all day by about 5.5 and 4 percentage points, respectively, while the corresponding estimate for Ohio is small and insignificant. In addition to the effectiveness of the orders in limiting the spread of COVID-19, these estimates are also informative of the responsiveness of Americans when the orders would be lifted.

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"Consumer Responses to the COVID-19 Pandemic" by Noah Williams, April 16, 2020 (latest update : April 23, 2020)

Overview
As the COVID-19 pandemic has spread across the United States, consumers have changed their spending habits dramatically. Initially, the changes began with people canceling inessential travel, limiting attendance at large gatherings, generally limiting social exposure, and moving from purchases in-store to online. Social distancing guidelines in most of the US tightened throughout the month of March, with the issuance of public emergency declarations, and an increasing number of states implementing “stay-at-home” orders closing down non-essential businesses. These changes, and the increasing severity of the crisis, accelerated the changes in consumer behavior, and also led to spikes in certain purchases, particularly at grocery stores. By the end of March and into April, consumer behavior has roughly stabilized, but with vastly different buying patterns and behavior compared to only a few weeks ago.
In this brief I analyze consumption trends nationwide and in Wisconsin, using a new data source of weekly transactions. I find that the recent monthly decline of roughly 9% in national retail sales masks a 10% increase mid-March and a 20% decline by the end of the month. There was a spike in grocery store sales of 80% nationwide and 100% in Wisconsin mid-March, driven as much by a growth in sales-per-transaction as transactions. The consumption decline overall was cushioned by increasing on-line sales, which also reallocated sales. In Wisconsin, total sales were down 15% at the end of March, but in-store sales were down 30%, with online sales up 20%.

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"Air Traffic Data as a Proxy for Economic Activity in the Transportation Sector" by Simeon Alder, April 8, 2020

Overview
The imposition of numerous social distancing measures in response to the COVID-19 pandemic has curtailed economic activity significantly. The impact, however, varies across industries and one of the challenges at this time is to measure the impact in a timely manner. One sector that has been affected significantly is air transportation. Measures ranging from outright quarantines to milder “Safer at Home” directives have been associated with a sharp decline in mobility – both internationally and domestically – and the number of airline passengers has fallen sharply in recent weeks.
In this brief we use daily departure information at Wisconsin’s three major commercial airports, General Mitchell International Airport in Milwaukee, Dane County Regional Airport in Madison, and Green Bay Austin Strobel International Airport in Green Bay to gauge the decline in activity between the beginning of March and April 6, 2020. We compare these trends to broader national air traffic patterns and some international developments.

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"The Economic Impact of COVID-19 on the Chinese Economy" by Chang Liu, April 6, 2020

Overview
The COVID-19 pandemic has now spread across the globe, causing significant economic disruption all over the world. China was the first and one of the hardest-hit countries in this global fight. The city of Wuhan, the first epicenter of this pandemic, with a population of 11 million, was completely shut down on Jan. 23, 2020, which WHO called “unprecedented in public health history”. Soon after that, cities in Hubei, of which Wuhan is the capital city, together with the rest of China, imposed similar lockdown restrictions, albeit less restrictive. Due to these quarantine regulations, by late February officially reported new cases of coronavirus had turned zero outside Hubei; in mid-March, total officially reported new domestic cases in mainland China turned to zero.
This fight, however, comes with substantial economic costs: businesses had to shut down, transportation scaled down, workers and consumers stuck at home and so on. With the spread of coronavirus under control, restrictions on businesses were gradually lifted throughout March.
In this report, I use the newly available data to investigate how the COVID-19 outbreak and the associated quarantine policies have affected the Chinese economy from various perspectives. Specifically, I look at the 8 groups of economic indicators covering production, investment, consumption/sales and imports and exports. Almost all of them indicate a plummet in economic activity where the year-over-year growth rate dropped from about 10% before the pandemic to -20% or lower in February 2020. Fortunately, the limited amount of data available for March indicates a rebound in economic activity, which suggests that the negative impact may be short-lived.

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"Measuring Wisconsin Economic Activity Using Foot Traffic Data" by Noah Williams, latest update April 8, 2020

Overview
The COVID-19 pandemic is leading to unprecedented social and economic disruptions around the globe. The economies in many locations have ground to a halt, as social distancing measures to slow the spread of the virus have increasingly led to businesses being shut down and workers ordered to shelter in place. While there has been an immense reduction in economic activity, there have been relatively few measures of just how severe the impact has been.
In this brief I analyze a measure of economic activity using a new data source of foot-traffic in commercial locations. I focus on year-over-year same-location changes in the state of Wisconsin, and find that there has been roughly a 52% drop in overall activity during the last week of March 2020 compared to 2019. The declines have been even more severe in some industries, with 76% drops for hotels and 71% for restaurants. Grocery stores are the only retail sector seeing relatively strong activity, with activity off only 7%. While non-essential retail stores have closed, grocery stores have remained open and activity at certain times has spiked. With the closing of UW-Madison, the Madison metro area has seen an even larger 65% decline in activity. Activity has stabilized, at a low level, over the last two weeks.

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"The effects of COVID-19 on Wisconsin’s workers and firms" by Kim Ruhl, latest update May 29, 2020

Overview
The “social distancing” required as part of the response to COVID-19 has created a sharp increase in Wisconsin workers seeking unemployment insurance. We focus on initial unemployment claims, which measure applications for benefits from workers who were not currently receiving benefits.

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"Unemployment Benefits under the Federal COVID-19 Relief Package" by Noah Williams, March 27, 2020

Overview
As the COVID-19 pandemic has spread throughout the United States, it has led to mass shutdowns of businesses with many states being placed under shelter-in-place orders. This is leading to an unprecedented increase in unemployment, with initial unemployment claims hitting 3.3 million on the week of 3/21/20, which will likely increase in the coming weeks. To provide relief for these unemployed workers, the federal government is implementing an aid package which supplements state unemployment insurance benefits with an additional $600 per week in “Federal Pandemic Unemployment Compensation” through 7/31/2020.

This brief compares the unemployment benefits compensation through existing state systems and the new federal compensation to average weekly wages in each state. I find that maximum unemployment benefits would exceed 90% of average weekly wages in all states, with the ratio substantially higher in most states.

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"The Geographic Distribution of Workers Most At Risk Economically When Ordered To Stay At Home" by Junjie Guo, March 26, 2020

Overview
On March 24, 2020, at the direction of Governor Tony Evers, Wisconsin issued a “safer at home” order requiring residents not to leave their home unless necessary. Similar orders to lock down the economy in an attempt to limit the spread of COVID-19 have been issued elsewhere. Different from many other countries like China, Italy and most recently the U.K., the federal government in the U.S. hasn’t issued such an order nationally, and President Trump recently expressed his willingness to move in the opposite direction and “have the country opened up … by Easter” after his direction of 15-day social distancing ends next week, a timeline that is dramatically sooner than what many public-health experts have recommended. Instead, some state and local governments have been issuing lockdown orders on their own. At the time of this writing (11:50 pm CST on 3/25/2020), 196 million Americans in 21 states, 37 counties and 16 cities are being urged to stay at home, according to a real-time tracker by the New York Times, which also noted that “A few states – Kentucky, Maryland and Nevada, for example – have walked up to the line, closing down all non-essential businesses but not issuing formal orders for people to stay home”.

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"Forecasting Initial Unemployment Claims using Google Searches" by Noah Williams, March 23, 2020

Overview
Weekly Google search trends related to unemployment provide an accurate forecast of initial unemployment claims. For the current week (ending March 21), I forecast that US initial unemployment claims will top 1.6 million, which is roughly twice the previous record high.

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"COVID-19, Industry Mix and the Growth of Initial UI Claims across States" by Junjie Guo, March 23, 2020

Overview
In its latest news release on unemployment insurance (UI) weekly claims, the U.S. Department of Labor (DOL) reported that, relative to the prior week, the number of initial claims increased significantly by 70,000 in the week ending on March 14, 2020. The report noted that the increase “are clearly attributable to impacts from the COVID-19 virus. A number of states specifically cited COVID-19 related layoffs, while many states reported increased layoffs in service related industries broadly and in the accommodation and food services industries specifically, as well as in the transportation and warehousing industry, whether COVID-19 was identified directly or not.”
We evaluate this assessment quantitatively.

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"The Uneven Effects of Chinese Tariffs" by Kim Ruhl, November 12, 2019

Overview
As part of the escalating trade war, the Chinese government increased substantially the tariffs it levies on a range of products exported from the United States. Trade policy is applied at a national level—a good entering China from the United States is tariffed the same regardless of where it was produced within the United States. The United States, however, is geographically diverse and the effects of the Chinese tariffs fall unevenly on different parts of the country. In early 2018, the United States levied tariffs against solar panels, washing machines, steel and Aluminum—beginning the ongoing trade war.

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"The Dodd-Frank Act and Small Bank Creation", by Kim Ruhl, May 15, 2019

Overview
In the aftermath of the financial crisis, Congress passed the Dodd-Frank Act which increased capital requirements and regulation of banks.  Following the Act, there has been a reduction in the creation of small banks, who have faced a large burden under the Act. Small banking is most important in poorer, rural areas, which suggests that these areas would be most affected by changes in the health of the small-bank sector.

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