<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Esteban Rossi-Hansberg | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/esteban-rossi-hansberg/</link><description>Esteban Rossi-Hansberg</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://macropaperwarehouse.com/authors/esteban-rossi-hansberg/index.xml" rel="self" type="application/rss+xml"/><item><title>Remote Work and City Structure</title><link>https://macropaperwarehouse.com/papers/remote-work-and-city-structure/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://macropaperwarehouse.com/papers/remote-work-and-city-structure/</guid><description>&lt;p&gt;Monte, Porcher, and Rossi-Hansberg ask why remote work surged abruptly and permanently after COVID-19 despite information-technology advances raising it only marginally between 1980 and 2019, why the change was so heterogeneous across cities, and what the welfare consequences are. Their answer is a coordination mechanism: working downtown (the CBD) yields productive interactions with other in-office workers but entails commuting/congestion costs, while remote work avoids those costs but forgoes agglomeration benefits. Because workers do not internalize the spillovers they confer, a worker prefers the office only if others commute too — generating, in a dynamic discrete-choice model with idiosyncratic preferences and fixed switching costs, the possibility of MULTIPLE stationary equilibria with different permanent commuter shares. A temporary shock (the pandemic) that drives commuters near zero can then select the low-commuting equilibrium permanently.&lt;/p&gt;</description></item><item><title>On the Geographic Implications of Carbon Taxes</title><link>https://macropaperwarehouse.com/papers/on-the-geographic-implications-of-carbon-taxes/</link><guid>https://macropaperwarehouse.com/papers/on-the-geographic-implications-of-carbon-taxes/</guid><description>&lt;p&gt;Standard analyses of unilateral carbon taxes ignore the spatial reallocation of economic activity induced by the policy, leading them to overstate the costs and understate the effectiveness of such taxes. Using a multi-sector dynamic Spatial Integrated Assessment Model (S-IAM) calibrated to over 17,000 locations worldwide, the paper shows that a European Union carbon tax introduced unilaterally — if accompanied by &lt;em&gt;local rebating&lt;/em&gt; of tax revenues to the residents of the taxing region — expands the size of the EU economy and improves global welfare. The mechanism: the carbon tax falls disproportionately on non-agricultural, energy-intensive sectors and effectively shifts part of its incidence onto trading partners via higher goods prices, while the rebate accrues only to EU residents, raising EU income per capita and attracting migrants. Under a 40 USD/tCO₂ EU tax with local rebating, EU real income rises by 0.46% in 2021 and EU population rises by 1.1%; without rebating, EU real income falls by 4.96% in 2021. EU CO₂ emissions fall by 41% by 2100, but global emissions fall by only 3% due to carbon leakage — production shifts to US, Japanese, and other unregulated regions, raising US and Japanese emissions by 12% on impact. Global real income per capita declines by 0.63% by 2100 without rebating, while global welfare improves with local rebating as economic activity concentrates in high-productivity non-agricultural regions. Rebating revenues to developing countries instead of locally slows migration to the EU, reduces the spatial efficiency gain, and deteriorates global welfare relative to the local-rebating benchmark.&lt;/p&gt;</description></item></channel></rss>