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Working Paper
COVID-19 Fiscal Support and Its Effectiveness
Chudik, Alexander; Mohaddes, Kamiar; Raissi, Mehdi (2021-04-06)
This paper uses a threshold-augmented Global VAR model to quantify the macroeconomic effects of countries’ discretionary fiscal actions in response to the Covid-19 pandemic and its fallout. Our results are threefold: (1) fiscal policy is playing a key role in mitigating the effects of the pandemic; (2) all else equal, countries that implemented larger fiscal support are expected to experience less output contractions; (3) emerging markets are also benefiting from the synchronized fiscal actions globally through the spillover channel and reduced financial market volatility.
Globalization Institute Working Papers , Paper 408

Speech
Remarks at the Global Research Forum on International Macroeconomics and Finance
Hirtle, Beverly (2022-11-17)
Introductory remarks at the Global Research Forum on International Macroeconomics and Finance.
Speech

Potential Jobs Impacted by Covid-19
Aaronson, Daniel; Burkhardt, Helen; Faberman, R. Jason (2020-04-01)
In this blog, we conduct an exercise to determine the potential consequences of the Covid-19 pandemic on near-term labor market outcomes. This is not a forecast, but an attempt to provide some discipline around potential bounds of the number of jobs impacted by the crisis. We estimate that between nine and 26 million jobs are potentially affected,1 with a best guess of around 15 million. If these jobs are lost, the June unemployment rate could reach between 14% and 18%, with a best guess of around 15%.
Chicago Fed Insights

Working Paper
Heterogeneity in the Marginal Propensity to Consume: Evidence from Covid-19 Stimulus Payments
Rajan, Aastha; Karger, Ezra (2020-05-29)
We identify 16,016 recipients of Covid-19 Economic Impact Payments in anonymized transaction-level debit card data from Facteus. We use an event study framework to show that in the two weeks following a sudden $1,200 payment from the IRS, consumers immediately increased spending by an average of $577, implying a marginal propensity to consume (MPC) of 48%. Consumer spending falls back to normal levels after two weeks. Stimulus recipients who live paycheck-to-paycheck spend 68% of the stimulus payment immediately, while recipients who save much of their monthly income spend 23% of the stimulus ...
Working Paper Series , Paper WP-2020-15

A Closer Look at the Correlation Between Google Trends and Initial Unemployment Insurance Claims
Fogarty, Michael; Butters, R. Andrew; Brave, Scott A. (2020-06-17)
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.
Chicago Fed Insights

Newsletter
Interest-Only Mortgages and Speculation in Hot Housing Markets
Fisher, Jonas D. M.; Barlevy, Gadi (2020-04)
Even as housing markets have temporarily shut down across the U.S. during the Covid-19 pandemic, housing remains a key sector that contributes disproportionately to fluctuations in overall economic activity and that will likely play an important role as the economy reopens. Interest in this market among research economists and policymakers intensified after the exceptional boom and bust in housing between 2003 and 2008. In this Chicago Fed Letter, we describe research in Barlevy and Fisher (2020)1 that examined patterns in the kinds of mortgages homebuyers took out in different cities during ...
Chicago Fed Letter , Issue 439 , Pages 6

Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
Alexander, Diane; Karger, Ezra (2020-04-20)
We link the county-level rollout of stay-at-home orders to anonymized cellphone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay at home: county-level measures of mobility declined by between 9% and 13% by the day after the stay-at-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: restaurants and retail stores. However, food delivery sharply increased after orders went into effect. Third, there is substantial county-level heterogeneity in consumer ...
Working Paper Series , Paper WP-2020-12

Newsletter
Housing Markets in a Time of Crisis: A Historical Perspective
Fishback, Price; Snowden, Kenneth A.; Rose, Jonathan D. (2020)
As the coronavirus (Covid-19) public health crisis unfolds, a second crisis in the economy is developing as well. One economic concern, among many, is the debt burden of households. Early reports point to a surge in unemployment claims during March 2020, raising the prospect that widespread unemployment is likely to impair the ability of households to make payments on their home mortgages and other loans in the months ahead. This represents a potential crisis in mortgage markets, as borrowers who are temporarily unemployed—but for an unknown period—may face default on their mortgages.
Chicago Fed Letter , Issue 433

Potential Jobs Impacted by Covid-19
http://fedora:8080/fcrepo/rest/objects/authors/; Faberman, R. Jason; Aaronson, Daniel (2020-04-01)
In this blog, we conduct an exercise to determine the potential consequences of the Covid-19 pandemic on near-term labor market outcomes. This is not a forecast, but an attempt to provide some discipline around potential bounds of the number of jobs impacted by the crisis. We estimate that between nine and 26 million jobs are potentially affected,1 with a best guess of around 15 million. If these jobs are lost, the June unemployment rate could reach between 14% and 18%, with a best guess of around 15%.
Midwest Economy Blog

Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior
Alexander, Diane; Karger, Ezra (2020-04-17)
We link the county-level rollout of stay-at-home orders to anonymized cellphone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay at home: county-level measures of mobility declined by between 9% and 13% by the day after the stay-at-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: restaurants and retail stores. However, food delivery sharply increased after orders went into effect. Third, there is substantial county-level heterogeneity in consumer ...
Working Paper Series , Paper WP-2020-12

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