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Estimates of State and Local Government Revenue Losses from Pandemic Mitigation
This data brief presents estimates of the impacts of the COVID-19 mitigation shutdowns on US state and local income and sales tax revenue. The author estimates that these revenues will decline by $54 billion in fiscal year 2020 (FY20). Depending on the speed of the recovery over the next fiscal year, another $25 billion to $137 billion of revenue may be lost. If states split their rainy day funds between FY20 and fiscal year 2021 (FY21) to offset these revenue declines, the shortfalls would be reduced to $21 billion in FY20 and $4 billion to $78 billion in FY21.
Potential Impacts of the War in Ukraine on the Fourth District
This District Data Brief examines the trade connections between Ukraine and Russia and the Fourth Federal Reserve District, which includes Ohio, western Pennsylvania, eastern Kentucky, and the northern panhandle of West Virginia. It appears that supplies to the District will be substantially reduced for several items that Ukraine and Russia export, such as primary metals and fertilizer. We should expect prices to rise for these goods, as they have already for petroleum. However, there are generally alternate global suppliers for many of the goods sold by Ukraine and Russia, so Fourth District ...
Migrants from High-Cost, Large Metro Areas during the COVID-19 Pandemic, Their Destinations, and How Many Could Follow
This data brief presents estimates of the number of people who have already migrated from the high-cost, large population centers to lower-cost and less-populated regions during the pandemic. It also presents the potential impacts on lower-cost regions that might receive more remote workers.2 Migration away from high-cost, large metro areas did spike during the pandemic. Even if the percentage of remote workers following these recent migration patterns is small, the number of these workers may be large enough to provide other regions the opportunity to substantially grow their workforces.
Monograph
Applying Research to Policy Issues in Distressed Housing Markets: Data-Driven Decision Making
A compilation of research published by the Federal Reserve Bank of Cleveland on housing markets experiencing foreclosure and/or a large number of vacant properties which sheds light on a wide range of housing markets. It provides possible policy solutions applicable to both regional and national policy discussions.
Working Paper
The impact of vacant, tax-delinquent, and foreclosed property on sales prices of neighboring homes
In this empirical analysis, we estimate the impact of vacancy, neglect associated with property-tax delinquency, and foreclosures on the value of neighboring homes using parcel-level observations. Numerous studies have estimated the impact of foreclosures on neighboring properties, and these papers theorize that the foreclosure impact works partially through creating vacant and neglected homes. To our knowledge, this is only the second attempt to estimate the impact of vacancy itself and the first to estimate the impact of tax-delinquent properties on neighboring home sales. We link vacancy ...
Journal Article
Population, Migration, and Generations in Urban Neighborhoods
The number of people living in urban neighborhoods has been rising in recent decades. This Commentary investigates changes in the number, ages, and financial status of those who have been moving into and out of urban neighborhoods, using data from the Federal Reserve Bank of New York/Equifax Consumer Credit Panel. I find that since 2000, the increase in urban populations is the result of young adults migrating into urban neighborhoods and senior citizens aging in place. Urban populations have also become more educated and well to do. While declining urban neighborhoods may still outnumber ...
Working Paper
Predictive Modeling of Surveyed Property Conditions and Vacancy
Using the results of a comprehensive in-person survey of properties in Cleveland, Ohio, we fit predictive models of vacancy and property conditions. We draw predictor variables from administrative data that is available in most jurisdictions such as deed recordings, tax assessor?s property characteristics, and foreclosure filings. Using logistic regression and machine learning methods, we are able to make reasonably accurate out-of-sample predictions. Our findings indicate that housing professionals could use administrative data and predictive models to identify distressed properties between ...
Working Paper
Is the grass really greener? Migrants' improvements in local labor market conditions and financial health
This paper documents several facts about internal migrants in the US that underlie substantial areas of economic research and policy making, but are rarely directly published. Using a large-sample, 23-year panel, the Federal Reserve Bank of New York/Equifax Consumer Credit Panel, I estimate the distribution of changes in local labor market conditions experienced by people who move to a different labor market. Net migration favors local labor markets with lower unemployment and faster job growth, but gross flows toward weaker labor markets are almost as large as the flows toward stronger labor ...
Did the COVID-19 Pandemic Cause an Urban Exodus?
One constant through the upheavals of 2020 was the steady stream of media reports about residents’ fleeing dense urban areas. In this data brief, I use the Federal Reserve Bank of New York/Equifax Consumer Credit Panel (CCP) and find that migration flows were in fact very unfavorable for urban neighborhoods in 2020. However, people’s taking flight from urban areas is only part of the story.
Working Paper
Earthquakes and House Prices: Evidence from Oklahoma
This paper examines the impact of earthquakes on residential property values using sales data from Oklahoma from 2006 to 2014. Before 2010, Oklahoma had only a couple of earthquakes per year that were strong enough to be felt by residents. Since 2010, seismic activity has increased, bring potentially damaging quakes several times each year and perceptible quakes every few days. Using hedonic models, we estimate that prices decline by 3 to 4 percent after a home has experienced a moderate earthquake measuring 4 or 5 on the Modified Mercalli Intensity Scale. Prices can decline up to 9.8 percent ...