<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Matthew J Delventhal | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/matthew-j-delventhal/</link><description>Matthew J Delventhal</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/matthew-j-delventhal/index.xml" rel="self" type="application/rss+xml"/><item><title>Spatial Implications of Telecommuting</title><link>https://macropaperwarehouse.com/papers/spatial-implications-of-telecommuting/</link><guid>https://macropaperwarehouse.com/papers/spatial-implications-of-telecommuting/</guid><description>&lt;p&gt;Delventhal and Parkhomenko build a quantitative spatial model of the United States to study how the rise of telecommuting reshapes the distribution of residents, jobs, and housing costs across and within cities. The model divides the continental U.S. into 4,502 locations (defined as intersections of Census PUMAs and counties) and allows each worker to choose any residence-job pair. Workers differ by education (college vs. non-college) and occupation type (telecommutable vs. non-telecommutable). Telecommutable workers can split labor time between on-site and remote work; their remote-work intensity responds endogenously to relative remote productivity, a work-from-home aversion parameter, home floorspace costs, and commute time.&lt;/p&gt;</description></item></channel></rss>