<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Karam Kang | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/karam-kang/</link><description>Karam Kang</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/karam-kang/index.xml" rel="self" type="application/rss+xml"/><item><title>Search Frictions and Product Design in the Municipal Bond Market</title><link>https://macropaperwarehouse.com/papers/search-frictions-and-product-design-in-the-municipal-bond-market/</link><guid>https://macropaperwarehouse.com/papers/search-frictions-and-product-design-in-the-municipal-bond-market/</guid><description>&lt;p&gt;&lt;strong&gt;Research Question&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;This paper investigates whether intermediaries in the U.S. municipal bond market strategically exploit product design to increase search frictions and, through that channel, capture rents. Specifically, it asks: do underwriters who negotiate bond design with local governments have an incentive to add nonstandard provisions that raise their own competitive advantage in subsequent secondary-market intermediation, even at the expense of issuing governments and their taxpayers?&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Setting and Data&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The study focuses on tax-exempt general obligation and revenue bonds issued via negotiated sales by local governments (counties, cities, school districts, and other special-purpose governments) from 2010 to 2013, tracking all secondary-market transactions through 2014. The final sample comprises 13,118 bond issues with a total face value of $266.9 billion. Bond attribute data come from Mergent; transaction data come from the Municipal Securities Rulemaking Board (MSRB). Issuer financial health, demographics, and economic conditions are drawn from the Census and American Community Survey; state revolving-door regulations are compiled from the National Conference of State Legislatures database. Structural estimation uses a subsample of 927 bonds concentrated in the five states that enacted revolving-door regulations during the study period and neighboring border counties.&lt;/p&gt;</description></item></channel></rss>