Welcome!
I am a PhD candidate in Economics at Yale University, specializing in Industrial Organization and Urban Economics. My research examines how industry dynamics in real estate influence housing market functioning.
I am on the 2025–26 job market.
CV: [pdf]
Email: zhichun.wang@yale.edu
"The Expansion and Dynamic Equilibrium Effects of Institutional Landlords", (Job Market Paper), with Daojing Zhai [pdf]
Abstract: This paper studies how dynamically formed cost efficiencies from scope and density drive institutional landlords’ expansion and, in turn, alter welfare distribution across heterogeneous households in single-family home markets. Institutional landlords convert owner-occupied homes into large, spatially clustered rental portfolios. They constrain households' access to homeownership while expanding rental opportunities, leading households to reoptimize between buying and renting, as buyers may face higher prices while renters may benefit from expanded choice sets. We build a dynamic equilibrium model of landlord investment with three key features: (i) endogenous housing supply evolution determined by oligopolistic landlords' investment, (ii) endogenous landlord costs varying with portfolio size and density, and (iii) households' substitution within and across buying and renting in an integrated choice set. We estimate the model using firm–property-level data from 2013–2022 in the Atlanta metropolitan area. We find that institutional landlords' expansion achieved a 60.03\% maintenance cost reduction from economies of scope and density. Households' total welfare increased, with varying effects across renters and buyers. The majority of renters gained from expanded rental supply, while a small fraction of renters, together with most buyers, lost from diminished access to affordable homeownership. Our findings have significant policy implications for regulating institutional landlords’ expansion in the single-family home market.
"Disclosure and the Pace of Drug Development", with Colleen Cunningham, Florian Ederer, and Charles Hodgson [pdf]
Abstract: Policies that mandate disclosure of innovative project outcomes aim to increase innovation by limiting wasteful duplicative R&D efforts. Yet, such policies change not only the ex-post information environment but also firms’ ex-ante innovation incentives. Firms may slow down their own innovation efforts in anticipation of increased disclosure by others. We examine the innovation-related impacts of the 2017 FDA Final Rule amendment, which mandates disclosure of clinical trial results for pharmaceutical firms. We show that the policy hastened and increased disclosure of results for clinical trials post-completion but also increased the time to completion of clinical trials, the time between early phases of clinical trials, and delays in development-related investments. We provide evidence consistent with mandated disclosure leading firms to wait to learn from their competitors. Our results suggest that mandating disclosure may slow innovation when there is value to waiting.
"Abandoned Homes and Residential Sorting: What Can Cities Do?", with Anna Croley [slides available upon request]
Abstract: Many of America’s older industrial cities face widespread housing vacancy and abandonment, despite sustained public demolition programs in these cities. Evaluating demolition programs is challenging, since abandoned homes can be both a cause and a consequence of low neighborhood quality. Moreover, although demolition programs are implemented locally, the sorting of residents into neighborhoods means that local policy efforts can have equilibrium ramifications citywide. In this paper, we develop an equilibrium model of residential sorting with endogenous home abandonment and estimate the model using data from Baltimore City. We leverage a novel source of variation in demolition costs from randomness in the within-block spatial arrangement of abandoned homes to overcome the identification challenges. Our estimates quantify the disutility abandoned homes bring to local neighborhoods. Using the estimated model, we evaluate alternative demolition policies and quantify their effects on different demographic groups.
TA for Intermediate Microeconomics (Undergraduate), Yale College, Spring 2024