We focus on the housing market and examine why nonlocal home buyers (NLBs) pay 15 percent more for houses than local home buyers (LBs). We estimate a housing demand model that returns heterogeneous willingness to pay parameters for housing attributes. Our results show that NLBs are willing to...

This paper demonstrates the way in which stock-flow matching with endogenous seller entry generates hot and cold spells in house sales. Potential sellers know the number of bidders remaining from the last house sale. If two or more bidders remain, the seller obtains the gains to trade through...

This paper investigates the US housing market from just before the Great Recession onward (2006-2019) and assesses the viability of stock-flow matching in generating the observed outcomes. The paper documents that the probability a house sells declines sharply after listing for two weeks....

The aim of the study is to explain if the foreclosure effect on prices is explained by a lower quality of foreclosed houses, which is a crucial aspect in the intelligibility of foreclosures. Based on a novel and comprehensive dataset, we estimate the impact of foreclosure on home prices in...

This paper examines the effects of real estate transfer taxes (RETT) on property prices using a rich micro dataset of roughly 17 million German properties for the period from 2005 to 2019. We exploit a 2006 constitutional reform that allows states to set their own RETT rates, leading to frequent...

I use daily data from fifty major cities to investigate the early effects of the COVID-19 pandemic on housing market in the United States. I find that starting from the second half of March, 2020, new home listings and pending home sales started to decrease. By mid-April, certain markets...

We study the effects of limited attention on property prices and energy efficiency (EE) investments in the housing market. Using a novel dataset, we analyse over 5 million residential property sale transactions in England and Wales, each containing information about sale price, property and...

In the U.S. real estate market, around 30 percent of listed properties remain unsold. We examine whether unsold property listings exert externalities in the housing market. Our study builds on a comprehensive dataset that encompasses residential property listings in Orange County (California)...