<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Simon Johnson | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/simon-johnson/</link><description>Simon Johnson</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/simon-johnson/index.xml" rel="self" type="application/rss+xml"/><item><title>A Theory of Price Caps on Non-Renewable Resources</title><link>https://macropaperwarehouse.com/papers/a-theory-of-price-caps-on-non-renewable-resources/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://macropaperwarehouse.com/papers/a-theory-of-price-caps-on-non-renewable-resources/</guid><description>&lt;p&gt;This paper asks what the optimal response of an exhaustible-resource producer is to sanctions in the form of a price cap, and how a sanctioning coalition should set the cap. The motivation is the $60-per-barrel cap on seaborne Russian crude imposed by the G7, EU and Australia in December 2022 (with $100/barrel for high-value and $45/barrel for low-value refined products), whose stated aim was to cut Russian revenue without triggering a global supply shock. The authors (two of whom were involved in designing the policy) argue that static models, frictionless Hotelling models, and truncated-supply-curve intuitions are all inadequate, and build a dynamic structural model.&lt;/p&gt;</description></item></channel></rss>