9 posts on "Davide Melcangi"
September 7, 2023
How Large Are Inflation Revisions? The Difficulty of Monitoring Prices in Real Time
With prices quickly going up after the COVID-19 pandemic, inflation releases have rarely been as present in the public debate as in recent years. However, since inflation estimates are frequently revised, how precise are the real-time data releases? In this Liberty Street Economics post, we investigate the size and nature of revisions to inflation. We find that inflation estimates for a given month can change substantially as subsequent data vintages are released. As an example, consider March 2009. With the economy contracting amid the Global Financial Crisis, the twelve-month inflation rate for personal consumption expenditures (PCE) excluding food and energy dropped from an initial estimate of 1.8 percent to 0.8 percent in the current series. The difference is dramatic and points to the difficulty of monitoring inflation in real time. Our results suggest that there is significant uncertainty in measuring inflation, and the key features of the recent spike and subsequent moderation of inflation may look quite different in hindsight once further revisions have taken place.
June 27, 2023
Not Just “Stimulus” Checks: The Marginal Propensity to Repay Debt
Households frequently use stimulus checks to pay down existing debt. In this post, we discuss the empirical evidence on this marginal propensity to repay debt (MPRD), and we present new findings using the Survey of Consumer Expectations. We find that households with low net wealth-to-income ratios were more prone to use transfers from the CARES Act of March 2020 to pay down debt. We then show that standard models of consumption-saving behavior can be made consistent with these empirical findings if borrowers’ interest rates rise with debt. Our model suggests that fiscal policy may face a trade-off between increasing aggregate consumption today and assisting those with the largest debt balances.
February 23, 2023
A Turning Point in Wage Growth?
The surge in wage growth experienced by the U.S. economy over the past two years is showing some tentative signs of moderation. In this post, we take a closer look at the underlying data by estimating a model designed to isolate the persistent component—or trend—of wage growth. Our central finding is that this trend may have peaked in early 2022, having experienced an earlier rise and subsequent moderation that were broad-based across sectors. We also find that wage growth seems to be moderating more slowly than the trend in services inflation.
October 18, 2022
What Have Workers Done with the Time Freed up by Commuting Less?
The COVID-19 pandemic has dramatically changed the way Americans spend their time. One of the most enduring shifts has occurred in the workplace, with millions of employees making the switch to work from home. Even as the pandemic has waned, more than 15 percent of full-time employees remain fully remote and an additional 30 percent work in hybrid arrangements (Barrero, Bloom, and Davis). These changes have substantially reduced time spent commuting to work; in the aggregate, Americans now spend 60 million fewer hours traveling to work each day. In this post, we investigate how people spend this saved time on other activities. Using detailed data from the American Time Use Survey (ATUS), we find that employed individuals allocate their saved commute time toward leisure activities and sleeping, while reducing overall work hours.
May 27, 2021
COVID-19 and Small Businesses: Uneven Patterns by Race and Income
The COVID-19 pandemic resulted in one of the sharpest recessions and recoveries in U.S. history. As the virus spread over the country in a matter of weeks in March 2020, most states rapidly locked down nonessential economic activity, which plummeted as a result. As the first wave of COVID-19 subsided and people gradually learned to “live with the virus,” states reversed most of the initial lockdowns and economic activity rebounded. In our ongoing Economic Inequality series, we have explored many aspects of how the economic turmoil associated with COVID-19 differentially affected households. Here, we turn to small business experience. The first post in this three-part installment seeks to understand if there was variance in small business activity across counties that differed by income and race. In two companion posts, we investigate the experience of small businesses in terms of credit access, looking at characteristics of who received and who benefited from the Paycheck Protection Program (PPP). The analysis finds inequalities in PPP credit access as well as differences in the loan and recipient county characteristics for those who received loans through financial technology (fintech) providers versus other lenders.
Posted at 10:45 am | Permalink
May 13, 2021
Who’s Ready to Spend? Constrained Consumption across the Income Distribution
Spending on goods and services that were constrained during the pandemic is expected to grow at a fast pace as the economy reopens. In this post, we look at detailed spending data to track which consumption categories were the most constrained by the pandemic due to social distancing. We find that, in 2019, high-income households typically spent relatively more on these pandemic-constrained goods and services. Our findings suggest that these consumers may have strongly reduced consumption during the pandemic and will likely play a crucial role in unleashing pent-up demand when pandemic restrictions ease.
Posted at 7:05 am in Demographics, Equitable Growth, Expectations, Household, Household Finance, Inequality, Pandemic | Permalink
May 5, 2021
Many Small Businesses in the Services Sector Are Unlikely to Reopen
The services sector was hit hard during the COVID-19 pandemic. Small businesses were particularly affected, and many of them were forced to close. We examine the state of these firms using micro data from Homebase (HB), a scheduling and time tracking tool that is used by around 100,000 businesses, mostly small firms, in the leisure and hospitality and retail industries. The data reveal that 35 percent of businesses that were active prior to the pandemic are still closed and that most have been inactive for twenty weeks or longer. We estimate that each additional week of being closed reduces the probability that a business reopens by 2 percentage points. Moreover, an additional week of business closure lowers the share of workers that are rehired at reopening. Our estimates imply that only about 4 percent of the workers that are still laid off from the currently closed businesses will eventually be rehired.
September 21, 2020
How Did State Reopenings Affect Small Businesses?
In our previous post, we looked at the effects that the reopening of state economies across the United States has had on consumer spending. We found a significant effect of reopening, especially regarding spending in restaurants and bars as well as in the healthcare sector. In this companion post, we focus specifically on small businesses, using two different sources of high-frequency data, and we employ a methodology similar to that of our previous post to study the effects of reopening on small business activity along various dimensions. Our results indicate that, much like for consumer spending, reopenings had positive and significant effects in the short term on small business revenues, the number of active merchants, and the number of employees working in small businesses. It is important to stress that we are not expressing any views in this post on the normative question of whether, when, or how states should loosen or tighten restrictions aimed at controlling the COVID-19 pandemic.
Posted at 7:00 am in Crisis, Employment, Household Finance, Labor Market, Macroeconomics, Pandemic, Unemployment | Permalink
September 18, 2020
Did State Reopenings Increase Consumer Spending?
The spread of COVID-19 in the United States has had a profound impact on economic activity. Beginning in March, most states imposed severe restrictions on households and businesses to slow the spread of the virus. This was followed by a gradual loosening of restrictions (“reopening”) starting in April. As the virus has re-emerged over the last few weeks, a number of states have taken steps to reverse the reopening of their economies. For example, Texas and Florida closed bars again in June, and Arizona additionally paused operations of gyms and movie theatres. Taken together, these measures raise the question of how closures and reopenings affect consumer spending. In this post, we investigate how much consumer spending increased after the reopenings. It is important to stress that we are not expressing any views on the normative question of whether, when, or how states should loosen or tighten restrictions aimed at controlling the COVID-19 pandemic.
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