<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Frank Yang | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/frank-yang/</link><description>Frank Yang</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/frank-yang/index.xml" rel="self" type="application/rss+xml"/><item><title>Costly Multidimensional Screening</title><link>https://macropaperwarehouse.com/papers/costly-multidimensional-screening/</link><guid>https://macropaperwarehouse.com/papers/costly-multidimensional-screening/</guid><description>&lt;p&gt;This paper studies when a principal can improve upon simple one-dimensional mechanisms by also deploying costly nonprice screening instruments — actions that are socially wasteful yet potentially informative about the agent&amp;rsquo;s private type.&lt;/p&gt;
&lt;p&gt;The model features a principal and an agent with quasilinear, additively separable preferences across two components: (i) a productive component, where allocations lie in a one-dimensional compact space X and generate genuine surplus, and (ii) a costly component, where any allocation y in an arbitrary measurable space Y satisfies sB(y, θB) ≤ 0 — it destroys or at best does not create social surplus. The agent&amp;rsquo;s private type is multidimensional, θ = (θA, θB), drawn from a commonly known distribution. Both components allow for nonlinear valuations and, on the principal&amp;rsquo;s side, interdependent preferences.&lt;/p&gt;</description></item></channel></rss>