<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Christian Michel | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/christian-michel/</link><description>Christian Michel</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/christian-michel/index.xml" rel="self" type="application/rss+xml"/><item><title>Identification of Time-Inconsistent Models: The Case of Insecticide-Treated Nets</title><link>https://macropaperwarehouse.com/papers/identification-of-time-inconsistent-models-the-case-of-insecticide-treated-nets/</link><guid>https://macropaperwarehouse.com/papers/identification-of-time-inconsistent-models-the-case-of-insecticide-treated-nets/</guid><description>&lt;p&gt;This paper addresses two related problems: the formal identification of time-inconsistent preferences in dynamic discrete choice models with unobserved heterogeneous types, and the structural estimation of those preferences using data from a health intervention in rural Orissa, India. The identification challenge is fundamental — even the standard exponential discount factor delta is generically not identified in dynamic choice models (Rust 1994; Magnac and Thesmar 2002), and this non-identification extends a fortiori to the hyperbolic (beta, delta) parameterization. The paper&amp;rsquo;s first contribution is constructing identification conditions that overcome these results through two exclusion restrictions: a variable z that affects utility only through the perceived value of future states (played in the application by elicited beliefs about state evolution), and a variable r that acts as an imperfect signal of agent type but is uninformative about choices conditional on type.&lt;/p&gt;</description></item></channel></rss>