August 12th, 2022 - Wisconsin School of Business


Note: Information on the speakers and the papers can be found below the agenda.

TimeSpeakerAffiliationTopic
8:15am - 8:30amGathering and Opening Remarks
Section 1: Real Estate Finance
8:30am - 9:30amPaul WillenFederal Reserve Bank of BostonDo Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus
9:30am - 10:30amAurel HizmoFederal Reserve BoardHow Resilient Is Mortgage Credit Supply? Evidence from the COVID-19 Pandemic
10:30am - 10:50amCoffee break
Section 2: Urban Economics 
10:50am - 11:50amFernando FerreiraUniversity of Pennsylvania, The Wharton SchoolNeighborhood Choice After COVID: The Role of Rents, Amenities, and Work-From-Home
11:50am - 12:50pmBoaz AbramsonColumbia Business SchoolThe Welfare Effects of Eviction and Homelessness Policies
12:50pm - 2:10pmLunch
2:10pm - 3:10pmTBDUniversity of Wisconsin-MadisonTBD
3:10pm - 4:10pmMatthew TurnerBrown UniversityTBD



Speakers:

Paul Willen

Federal Reserve Bank of Boston

Paul Willen

Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus

Abstract:

Findings that minority consumers pay higher interest rates compared with white consumers who are observably similar with respect to the mortgage market can be interpreted as evidence that lenders systematically discriminate against minority borrowers. An alternative explanation for the interest rate disparity is that minority consumers are more constrained in their choice of how much to pay in upfront fees (also known as discount points) in return for lower interest rates. The availability of this choice between a higher upfront fee and a higher interest rate creates a “menu problem” that complicates the detection of lender discrimination and renders methods employed by some studies susceptible to false results. The authors develop a solution to this problem by defining a test statistic for equality in rate and discount point menus and a difference-in-menus metric for assessing whether one group of borrowers would prefer to switch to another group’s menus. They use data from 2018 and 2019 on borrowers’ chosen mortgage rates and discount points to examine whether lenders discriminated against minority borrowers by offering them a distribution of menus that was worse than the one offered to observationally similar non-Hispanic white borrowers.


Aurel Hizmo

Federal Reserve Board

Photo of Aurel Hizmo

How Resilient Is Mortgage Credit Supply? Evidence from the COVID-19 Pandemic

Abstract:

We study the evolution of US mortgage credit supply during the COVID-19 pandemic. Although the mortgage market experienced a historic boom in 2020, we show there was also a large and sustained increase in intermediation markups that limited the pass-through of low rates to borrowers. Markups typically rise during periods of peak demand, but this historical relationship explains only part of the large increase during the pandemic. We present evidence that pandemic-related labor market frictions and operational bottlenecks contributed to unusually inelastic credit supply, and that technology-based lenders, likely less constrained by these frictions, gained market share. Rising forbearance and default risk did not significantly affect rates on “plain vanilla” conforming mortgages, but it did lead to higher spreads on mortgages without government guarantees and loans to the riskiest borrowers. Mortgage-backed securities purchases by the Federal Reserve also supported the flow of credit in the conforming segment.


Fernando Ferreira

University of Pennsylvania, The Wharton School

Neighborhood Choice After COVID: The Role of Rents, Amenities, and Work-From-Home

Abstract:

We investigate how neighborhood preferences and choices changed one year after the beginning of the COVID pandemic. We study a Neighborhood Choice Program that helped graduating students choose where to live by providing new information about rents and amenities. Using panel data on neighborhood rankings before and after information, we find that changes in rankings favor neighborhoods where social and professional network shares are higher by 2.2 percentage points, rents are lower by $432, and are 2.4 kilometers farther from the city center. Interestingly, we did not detect this movement away from downtowns when the program was offered prior to the pandemic. We then estimate a neighborhood choice model to recover MWTP for amenities both before and after the pandemic. Our estimates reveal that MWTP for network shares post COVID is markedly lower than prior to COVID. Finally, we perform counterfactuals to quantitatively assess how changes in preferences affect where people live, and find that weaker network preferences are most impactful, while heterogeneity by commute and work-from-home are less relevant.


Boaz Abramson

Columbia Business School

The Welfare Effects of Eviction and Homelessness Policies

Abstract:

This paper studies the implications of rental market policies that address evictions and homelessness. Policies that make it harder to evict delinquent tenants, for example by providing tax-funded legal counsel in eviction cases ("Right-to-Counsel") or by instating eviction moratoria, protect renters from eviction in bad times. However, higher default costs to landlords lead to higher equilibrium rents and lower housing supply, implying homelessness might increase. I quantify these tradeoffs in a model of rental markets in a city, matched to micro data on rents and evictions as well as shocks to income and family structure. I find that "Right-to-Counsel" drives up rents so much that homelessness increases by 15% and welfare is dampened. Since defaults on rent are driven by persistent income shocks, making it harder to evict tends to extend the eviction process but doesn't prevent evictions. In contrast, rental assistance lowers tenants' default risk and as a result reduces homelessness by 45% and evictions by 75%. It increases welfare despite its costs to taxpayers. Eviction moratoria following an unexpected economic downturn can also prevent evictions and homelessness, if used as a temporary measure.


Matthew Turner

Brown University

Paper TBD

Abstract:



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