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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

The large scale deployment of Advanced Metering Infrastructure among residential energy customers has served as a boon for energy systems research relying on granular consumption data. Residential Demand Response aims to utilize the…

Systems and Control · Computer Science 2016-07-05 Datong Zhou , Maximilian Balandat , Claire Tomlin

Background. Low earnings are associated with household insecurity. Direct Support Professionals (DSPs) provide support for people with intellectual and developmental disabilities, typically for wages close to state minimums, and may…

General Economics · Economics 2026-02-25 Jennifer Cohen , Yana Rodgers

In recent years, there has been growing interest in leveraging machine learning for homeless service assignment. However, the categorical nature of administrative data recorded for homeless individuals hinders the development of accurate…

Machine Learning · Computer Science 2024-12-13 Khandker Sadia Rahman , Charalampos Chelmis

In the modern U.S. labor market, digital infrastructures strongly influence how individuals locate opportunities, build skills, and advance wages. Regional differences in computing access, broadband coverage, and digital literacy have…

Computers and Society · Computer Science 2025-11-10 Shaolong Wu

The widespread deployment of Advanced Metering Infrastructure has made granular data of residential electricity consumption available on a large scale. Smart meters enable a two way communication between residential customers and utilities.…

Systems and Control · Computer Science 2016-08-15 Datong Zhou , Maximilian Balandat , Claire Tomlin

We consider social resource allocations that deliver an array of scarce supports to a diverse population. Such allocations pervade social service delivery, such as provision of homeless services, assignment of refugees to cities, among…

Computers and Society · Computer Science 2022-02-28 Tasfia Mashiat , Xavier Gitiaux , Huzefa Rangwala , Patrick J. Fowler , Sanmay Das

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

We study the effect of localized housing price hikes on renters' mobility, consumption, and credit outcomes. Consistent with a spatial equilibrium model, we find that the consumption responses vary greatly for movers and stayers. While…

General Economics · Economics 2024-07-10 Giacomo De Giorgi , Enrico Moretti , Harrison Wheeler

In developing countries, building codes often are outdated or not enforced. As a result, a large portion of the housing stock is substandard and vulnerable to natural hazards and climate related events. Assessing housing quality is key to…

Machine Learning · Computer Science 2022-06-01 Chaofeng Wang , Sarah Elizabeth Antos , Jessica Grayson Gosling Goldsmith , Luis Miguel Triveno

In this paper we analyze urban spatial segregation phenomenon in terms of the income distribution over a population, and inflationary parameter weighting the evolution of housing prices. For this, we develop a discrete, spatially extended…

Adaptation and Self-Organizing Systems · Physics 2007-08-29 Antonio Aguilera , Edgardo Ugalde

Homelessness among US veterans remains a critical public health challenge, yet risk prediction offers a pathway for proactive intervention. In this retrospective prognostic study, we analyzed electronic health record (EHR) data from…

Computation and Language · Computer Science 2026-02-04 Rohan Pandey , Haijuan Yan , Hong Yu , Jack Tsai

We revisit the longstanding question of how physical structures in urban landscapes influence crime. Leveraging machine learning-based matching techniques to control for demographic composition, we estimate the effects of several types of…

Machine Learning · Computer Science 2025-09-23 Ziyao Cui , Erick Jiang , Nicholas Sortisio , Haiyan Wang , Eric Chen , Cynthia Rudin

Housing instability is a widespread phenomenon in the United States. In combination with other social determinants of health, housing instability affects children's overall health and development. Drawing on data from the 2022 National…

Human-Computer Interaction · Computer Science 2024-10-24 Rachael Zehrung , Di Hu , Yawen Guo , Kai Zheng , Yunan Chen

We propose a sequential monitoring scheme to find structural breaks in real estate markets. The changes in the real estate prices are modeled by a combination of linear and autoregressive terms. The monitoring scheme is based on a detector…

Econometrics · Economics 2020-02-12 Lajos Horváth , Zhenya Liu , Shanglin Lu

Housing markets play a crucial role in economies and the collapse of a real-estate bubble usually destabilizes the financial system and causes economic recessions. We investigate the systemic risk and spatiotemporal dynamics of the US…

Statistical Finance · Quantitative Finance 2013-12-31 Hao Meng , Wen-Jie Xie , Zhi-Qiang Jiang , Boris Podobnik , Wei-Xing Zhou , H. Eugene Stanley

The phenomenon of gentrification of an urban area is characterized by the displacement of lower-income residents due to rising living costs and an influx of wealthier individuals. This study presents an agent-based model that simulates…

Physics and Society · Physics 2025-08-07 Giovanni Mauro , Nicola Pedreschi , Renaud Lambiotte , Luca Pappalardo

Growth is a multi-layered phenomenon in human societies, composed of socioeconomic and demographic change at many different scales. Yet, standard macroeconomic indicators average over most of these processes, blurring the spatial and…

Physics and Society · Physics 2025-11-11 Jordan T Kemp , Laura Fürsich , Luís M A Bettencourt

Residential buildings account for a significant portion (35\%) of the total electricity consumption in the U.S. as of 2022. As more distributed energy resources are installed in buildings, their potential to provide flexibility to the grid…

Machine Learning · Computer Science 2024-08-13 Patrick Salter , Qiuhua Huang , Paulo Cesar Tabares-Velasco

The social networks of people experiencing homelessness are an understudied but vital aspect of their lives, offering access to information, support, and safety. In 2023, the U.S. Department of Housing and Urban Development reported 653,100…

Social and Information Networks · Computer Science 2026-03-09 Zack Almquist , Ihsan Kahveci , Owen Kajfasz , Janelle Rothfolk , Amy Hagopian