<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Woojin Kim | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/woojin-kim/</link><description>Woojin Kim</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/woojin-kim/index.xml" rel="self" type="application/rss+xml"/><item><title>Policy Diffusion and Polarization across U.S. States</title><link>https://macropaperwarehouse.com/papers/policy-diffusion-and-polarization-across-u.s.-states/</link><guid>https://macropaperwarehouse.com/papers/policy-diffusion-and-polarization-across-u.s.-states/</guid><description>&lt;p&gt;DellaVigna and Kim study the innovation and diffusion of policies across U.S. states using a dataset of over 700 state laws spanning seven decades. The central question is what predicts whether a state adopts a policy — and how those predictors have changed over time. The paper draws on two primary data sources: the State Policy Innovation and Diffusion (SPID) Database (Boehmke et al., 2020), covering 676 policies, and a hand-collected sample of 57 policies from 91 NBER working papers (April 2012–September 2021) that feature state-level policy variation. The combined dataset covers 733 policies adopted from the 1950s onward across the contiguous 48 states.&lt;/p&gt;</description></item></channel></rss>