Eric Seymour
@ericseymour.bsky.social
Studying housing from Central NJ
Reposted by Eric Seymour
Professor Eric Seymour @ericseymour.bsky.social found higher #corporate ownership rates of small, 1- to 4-unit properties appear in a range of #NJ municipalities, including Trenton, New Brunswick, Atlantic City, Asbury Park, and Newark. policylab.rutgers.edu/publication/...
Mapping Corporate Landlords in New Jersey - New Jersey State Policy Lab
As part of our ongoing research project supported by the New Jersey State Policy Lab, we are examining the growth of corporate ownership in the state’s small residential property market. Our focus is ...
policylab.rutgers.edu
July 23, 2025 at 2:06 PM
Professor Eric Seymour @ericseymour.bsky.social found higher #corporate ownership rates of small, 1- to 4-unit properties appear in a range of #NJ municipalities, including Trenton, New Brunswick, Atlantic City, Asbury Park, and Newark. policylab.rutgers.edu/publication/...
Reposted by Eric Seymour
I am looking for a research assistant to work with me on the development of U.S. housing markets. Experience with ArcGIS, Stata useful. We build datasets that allow us to understand housing affordability, the impacts of transit and zoning, and more:
rb.wd5.myworkdayjobs.com/en-US/FRS/jo...
rb.wd5.myworkdayjobs.com/en-US/FRS/jo...
Research Assistant/Sr. Research Assistant
Company Federal Reserve Bank of Philadelphia Job Description Summary Research assistants (RAs) at the Philadelphia Fed play a key role in the Economic Research Department. Whether they are helping eco...
rb.wd5.myworkdayjobs.com
July 7, 2025 at 6:29 PM
I am looking for a research assistant to work with me on the development of U.S. housing markets. Experience with ArcGIS, Stata useful. We build datasets that allow us to understand housing affordability, the impacts of transit and zoning, and more:
rb.wd5.myworkdayjobs.com/en-US/FRS/jo...
rb.wd5.myworkdayjobs.com/en-US/FRS/jo...
Reposted by Eric Seymour
Approximately 19% of Trenton's one- to four-unit #housing properties transitioned to corporate ownership between 2012 & 2022, totaling just over 4,000 properties in the Garden State capital, according to new research from @ericseymour.bsky.social w/ @bloustein.rutgers.edu:
#Rutgers #NJ #NewJersey
#Rutgers #NJ #NewJersey
Who Are Corporate Landlords Acquiring Homes From? Examining Property Transitions in New Jersey - New Jersey State Policy Lab
In this fifth blog post on our research into corporate ownership of New Jersey’s one- to four-unit residential properties, we share more preliminary findings from our analysis of changes in property o...
policylab.rutgers.edu
June 12, 2025 at 1:54 PM
Approximately 19% of Trenton's one- to four-unit #housing properties transitioned to corporate ownership between 2012 & 2022, totaling just over 4,000 properties in the Garden State capital, according to new research from @ericseymour.bsky.social w/ @bloustein.rutgers.edu:
#Rutgers #NJ #NewJersey
#Rutgers #NJ #NewJersey
Reposted by Eric Seymour
New paper in Urban Studies on landlord harm in Los Angeles. We find that tenants in rent-controlled buildings and gentrifying census tracts were 14.8 and 9.4 percentage points more likely to experience harassment, respectively. journals.sagepub.com/doi/abs/10.1...
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journals.sagepub.com
February 3, 2025 at 11:45 PM
New paper in Urban Studies on landlord harm in Los Angeles. We find that tenants in rent-controlled buildings and gentrifying census tracts were 14.8 and 9.4 percentage points more likely to experience harassment, respectively. journals.sagepub.com/doi/abs/10.1...
Reposted by Eric Seymour
November 23, 2024 at 11:20 PM
Reposted by Eric Seymour
Our recent article has been published in CEUS: www.sciencedirect.com/science/arti...
We use AI to identify topics discussed in LA rental listings' text to understand the subtle language of discrimination and other gatekeeping obstacles to housing.
A short thread...
We use AI to identify topics discussed in LA rental listings' text to understand the subtle language of discrimination and other gatekeeping obstacles to housing.
A short thread...
A hybrid deep learning method for identifying topics in large-scale urban text data: Benefits and trade-offs
Large-scale text data from public sources, including social media or online platforms, can expand urban planners' ability to monitor and analyze urban…
www.sciencedirect.com
November 19, 2024 at 7:06 PM
Our recent article has been published in CEUS: www.sciencedirect.com/science/arti...
We use AI to identify topics discussed in LA rental listings' text to understand the subtle language of discrimination and other gatekeeping obstacles to housing.
A short thread...
We use AI to identify topics discussed in LA rental listings' text to understand the subtle language of discrimination and other gatekeeping obstacles to housing.
A short thread...
Reposted by Eric Seymour
New Research Thread🧵:
We examine the spatial patterns and eviction rates of single-family landlords in the Twin Cities. We find Private Equity firms and REITs each have their own distinct geographies and evict tenants at higher rates than smaller landlords. 1/
We examine the spatial patterns and eviction rates of single-family landlords in the Twin Cities. We find Private Equity firms and REITs each have their own distinct geographies and evict tenants at higher rates than smaller landlords. 1/
November 19, 2024 at 5:42 PM
New Research Thread🧵:
We examine the spatial patterns and eviction rates of single-family landlords in the Twin Cities. We find Private Equity firms and REITs each have their own distinct geographies and evict tenants at higher rates than smaller landlords. 1/
We examine the spatial patterns and eviction rates of single-family landlords in the Twin Cities. We find Private Equity firms and REITs each have their own distinct geographies and evict tenants at higher rates than smaller landlords. 1/
Reposted by Eric Seymour
New paper with @danimmergluck.bsky.social and Jeremy Walker that came out of my stats class in spring of 2020, haha.
We use a city-wide property condition survey to disrupt the notion that institutional SFR investors who often have the most capital are going to buy the "worst of the worst."
We use a city-wide property condition survey to disrupt the notion that institutional SFR investors who often have the most capital are going to buy the "worst of the worst."
www.tandfonline.com
January 29, 2024 at 5:50 PM
New paper with @danimmergluck.bsky.social and Jeremy Walker that came out of my stats class in spring of 2020, haha.
We use a city-wide property condition survey to disrupt the notion that institutional SFR investors who often have the most capital are going to buy the "worst of the worst."
We use a city-wide property condition survey to disrupt the notion that institutional SFR investors who often have the most capital are going to buy the "worst of the worst."