<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Moritz Kuhn | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/moritz-kuhn/</link><description>Moritz Kuhn</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/moritz-kuhn/index.xml" rel="self" type="application/rss+xml"/><item><title>The Geography of job creation and job destruction</title><link>https://macropaperwarehouse.com/papers/the-geography-of-job-creation-and-job-destruction/</link><guid>https://macropaperwarehouse.com/papers/the-geography-of-job-creation-and-job-destruction/</guid><description>&lt;p&gt;This paper asks why unemployment rates differ so persistently across local labor markets, and what role job creation and job destruction play in generating those differences. The authors document a comprehensive set of spatial labor market facts using administrative and survey microdata from Germany, the United States, and the United Kingdom, then build and calibrate a quantitative theoretical framework that accounts for all documented regularities.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Data and scope.&lt;/strong&gt; For Germany, the authors use administrative data from the German employment office (universe of vacancies and unemployed, 1999–2020) and the IAB social security sample (SIAB, 2% of all workers, 2000–2017) aggregated to 194 commuting zones. For the U.S., they use BLS Local Area Unemployment Statistics (2000–2019) at commuting zones, CPS worker flows at metropolitan areas, and JOLTS vacancy data for the 18 largest MSAs (covering roughly 40% of the U.S. labor force). For the UK, they use Nomis data and Jobcentre Plus vacancy records (2004–2006) for 378 Local Authority Districts.&lt;/p&gt;</description></item></channel></rss>