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Current sources of data on rental housing - such as the census or commercial databases that focus on large apartment complexes - do not reflect recent market activity or the full scope of the U.S. rental market. To address this gap, we…

Applications · Statistics 2016-08-25 Geoff Boeing , Paul Waddell

As the rental housing market moves online, the Internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information…

General Economics · Economics 2019-08-28 Geoff Boeing

Housing scholars stress the importance of the information environment in shaping housing search behavior and outcomes. Rental listings have increasingly moved online over the past two decades and, in turn, online platforms like Craigslist…

Applications · Statistics 2020-02-03 Geoff Boeing , Max Besbris , Ariela Schachter , John Kuk

This article interprets emerging scholarship on rental housing platforms -- particularly the most well-known and used short- and long-term rental housing platforms - and considers how the technological processes connecting both short-term…

General Economics · Economics 2021-08-19 Geoff Boeing , Max Besbris , David Wachsmuth , Jake Wegmann

As affordability pressures and tight rental markets in global cities mount, online shared accommodation sites proliferate. Home sharing arrangements present dilemmas for planning that aims to improve health and safety standards, while…

Computers and Society · Computer Science 2017-05-19 Somwrita Sarkar , Nicole Gurran

Traditional data sources for the analysis of housing markets show several limitations, that recently started to be overcome using data coming from housing sales advertisements (ads) websites. In this paper, using a large dataset of ads in…

Econometrics · Economics 2020-04-07 Michele Loberto , Andrea Luciani , Marco Pangallo

Reviews of official statistics for UK housing have noted that developments have not kept pace with real-world change, particularly the rapid growth of private renting. This paper examines the potential value of big data in this context. We…

Applications · Statistics 2021-02-01 Mark Livingston , Francesca Pannullo , Adrian Bowman , Marian Scott , Nick Bailey

Both buyers and sellers face uncertainty in real estate transactions in about when to time a transaction and at what cost. Both buyers and sellers make decisions without knowing the present and future state of the large and dynamic real…

Applications · Statistics 2022-01-12 Yuanyuan Zha , Susan T. Parker , James J. Foster , Vadim Sokolov

Airbnb, an online marketplace for accommodations, has experienced a staggering growth accompanied by intense debates and scattered regulations around the world. Current discourses, however, are largely focused on opinions rather than…

Computers and Society · Computer Science 2017-05-15 Qing Ke

Homelessness in American cities is becoming an ever more prominent issue, but its causes remain contested, ranging from mental health and substance abuse to housing affordability and local labor markets. To shed light on this issue, I…

General Economics · Economics 2026-01-06 Richard Yun

Urban house prices are strongly associated with local socioeconomic factors. In literature, house price modeling is based on socioeconomic variables from traditional census, which is not real-time, dynamic and comprehensive. Inspired by the…

Econometrics · Economics 2018-09-12 Enwei Zhu , Stanislav Sobolevsky

Homeowners, first-time buyers, banks, governments and construction companies are highly interested in following the state of the property market. Currently, property price indexes are published several months out of date and hence do not…

Applications · Statistics 2020-09-23 Robert Miller , Phil Maguire

We consider a simple stochastic model of a urban rental housing market, in which the interaction of tenants and landlords induces rent fluctuations. We simulate the model numerically and measure the equilibrium rent distribution, which is…

General Finance · Quantitative Finance 2014-06-17 Rémi Lemoy , Eric Bertin

There is a rumbling debate over the impact of gentrification: presumed gentrifiers have been the target of protests and attacks in some cities, while they have been welcome as generators of new jobs and taxes in others. Census data fails to…

Computers and Society · Computer Science 2021-01-19 Shomik Jain , Davide Proserpio , Giovanni Quattrone , Daniele Quercia

The US housing market exhibits pronounced seasonal cycles: prices and sales rise through spring, peak in summer, and decline through autumn and winter. Since 2021, this pattern has shifted earlier in the calendar year, with spring…

General Economics · Economics 2026-05-21 Yihan Hu , Cemil Selcuk

Sharing economy platforms have become extremely popular in the last few years, and they have changed the way in which we commute, travel, and borrow among many other activities. Despite their popularity among consumers, such companies are…

Social and Information Networks · Computer Science 2016-02-09 Giovanni Quattrone , Davide Proserpio , Daniele Quercia , Licia Capra , Mirco Musolesi

As the penetration of distributed energy resources in the residential sector increases, the scope for sharing arrangements expands. We model a peer-to-peer rental market for rooftop solar and energy storage in the residential sector, with…

Computational Engineering, Finance, and Science · Computer Science 2018-09-18 Siddharth Patel , Ram Rajagopal

Seasonality has traditionally shaped the U.S. housing market, with activity peaking in spring-summer and declining in autumn-winter. However, recent disruptions, particularly post-COVID-19, raise questions about shift in these patterns.…

General Economics · Economics 2025-11-25 Yihan Hu , Yifei Huang , Weizhao Wang

The real estate market is exposed to many fluctuations in prices because of existing correlations with many variables, some of which cannot be controlled or might even be unknown. Housing prices can increase rapidly (or in some cases, also…

We study housing markets as introduced by Shapley and Scarf (1974). We investigate the computational complexity of various questions regarding the situation of an agent $a$ in a housing market $H$: we show that it is $\mathsf{NP}$-hard to…

Computer Science and Game Theory · Computer Science 2024-01-11 Ildikó Schlotter , Péter Biró , Tamás Fleiner
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