<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>James Siderius | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/james-siderius/</link><description>James Siderius</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/james-siderius/index.xml" rel="self" type="application/rss+xml"/><item><title>Online Business Models, Digital Ads, and User Welfare</title><link>https://macropaperwarehouse.com/papers/online-business-models-digital-ads-and-user-welfare/</link><guid>https://macropaperwarehouse.com/papers/online-business-models-digital-ads-and-user-welfare/</guid><description>&lt;p&gt;Acemoglu, Huttenlocher, Ozdaglar, and Siderius develop a two-sided platform model to study the welfare consequences of digital advertising as an online business model. The platform intermediates between a firm selling a horizontally differentiated product and a continuum of users who derive utility from both entertaining content and informative signals about product quality embedded in ads. Users have a two-dimensional type: a sophistication dimension (sophisticated with probability lambda, naïve with probability 1-lambda) and a product-quality dimension (high quality with prior probability q). The central departure from the standard informational-advertising literature is that sophisticated users hold the correct model of the ad signal process, while naïve users underestimate the false-positive rate — the probability that a low-quality product generates a positive ad signal (phi_0). Naïve users perceive this false-positive rate to be phi_{0,N} = omega_N * omega_P * phi_0, where omega_N &amp;lt;= 1 captures inherent naïveté and omega_P &amp;lt;= 1 captures failure to understand personalized targeting, so phi_{0,N} &amp;lt; phi_0. The equilibrium concept is Berk-Nash equilibrium (Esponda and Pouzo 2016), meaning all agents are Bayesian given their subjective model.&lt;/p&gt;</description></item></channel></rss>