scispace - formally typeset
A

Arpit Gupta

Researcher at New York University

Publications -  36
Citations -  716

Arpit Gupta is an academic researcher from New York University. The author has contributed to research in topics: Medicine & Real estate. The author has an hindex of 8, co-authored 26 publications receiving 391 citations. Previous affiliations of Arpit Gupta include Boston Children's Hospital & Indian Institute of Foreign Trade.

Papers
More filters
Journal ArticleDOI

Mortgage Modification and Strategic Behavior: Evidence from a Legal Settlement with Countrywide

TL;DR: This paper investigated whether homeowners respond strategically to news of mortgage modification programs by defaulting on their mortgages by exploiting plausibly exogenous variation in modification policy induced by U.S. state government lawsuits against Countrywide Financial Corporation, which agreed to offer modifications to seriously delinquent borrowers with mortgages throughout the country.
Journal ArticleDOI

Mortgage Modification and Strategic Behavior: Evidence from a Legal Settlement with Countrywide

TL;DR: The authors investigated whether homeowners respond strategically to news of mortgage modification programs and found that the increase in default rates is largest among borrowers least likely to default otherwise, suggesting that strategic behavior should be an important consideration in designing mortgage modification program.
ReportDOI

Flattening the Curve: Pandemic-Induced Revaluation of Urban Real Estate

TL;DR: In this article, the authors show that the COVID-19 pandemic brought house price and rent declines in city centers, and price increases away from the center, thereby flattening the bid-rent curve in most U.S. metropolitan areas.
Journal ArticleDOI

Exposure density and neighborhood disparities in COVID-19 infection risk.

TL;DR: In this paper, the authors developed a method to quantify neighborhood activity behaviors at high spatial and temporal resolutions and test whether, and to what extent, behavioral responses to social-distancing policies vary with socioeconomic and demographic characteristics.
Posted Content

Exposure Density and Neighborhood Disparities in COVID-19 Infection Risk: Using Large-scale Geolocation Data to Understand Burdens on Vulnerable Communities.

TL;DR: This work develops a method to quantify neighborhood activity behaviors at high spatial and temporal resolutions and test whether, and to what extent, behavioral responses to social-distancing policies vary with socioeconomic and demographic characteristics and evaluates the effects of localized demographic, socioeconomic, and built-environment density characteristics on infection rates and deaths.