<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tatiana Kirsanova | Macro Paper Warehouse</title><link>https://macropaperwarehouse.com/authors/tatiana-kirsanova/</link><description>Tatiana Kirsanova</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://macropaperwarehouse.com/authors/tatiana-kirsanova/index.xml" rel="self" type="application/rss+xml"/><item><title>Policy Biases in a Model with Labor-Market Frictions</title><link>https://macropaperwarehouse.com/papers/policy-biases-in-a-model-with-labor-market-frictions/</link><guid>https://macropaperwarehouse.com/papers/policy-biases-in-a-model-with-labor-market-frictions/</guid><description>&lt;p&gt;&lt;strong&gt;Research Question&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Dennis and Kirsanova ask whether shocks to labor-market matching efficiency and worker bargaining power pose a significant problem for monetary policy, and whether the inability to commit (discretion versus commitment) generates important stabilization bias in a model with labor-market matching frictions. They also examine how several popular simple monetary policy rules perform in response to these and other shocks.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Model and Methodology&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The paper develops a fully nonlinear DSGE model featuring: (1) a goods market characterized by monopolistic competition and Rotemberg-style quadratic price-adjustment costs; and (2) a labor market characterized by a constant-returns-to-scale matching function (Mortensen-Pissarides) and Nash bargaining over wages and hours worked. Because the flex-price equilibrium is inefficient — owing to both monopolistic competition and the matching friction — a linear-quadratic approximation is not valid for the discretionary policy problem, and the authors solve the model using Smolyak sparse-grid methods with Chebyshev polynomial basis functions.&lt;/p&gt;</description></item></channel></rss>