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引用次数: 0
摘要
过去几十年来,名义 GDP 增长率目标制在货币政策文献中越来越受到青睐(例如,Ireland 2020;Garín 等人,2016 年;Beckworth 和 Hendrickson,2020 年)。经过校准的小规模新凯恩斯主义 DSGE 模型支持这样一种主张,即与通货膨胀目标制和泰勒规则等其他策略相比,名义 GDP 增长率目标制将提高福利水平。本文以一个中等规模的新凯恩斯主义模型为背景,探讨了这一命题。在该模型中,与最优泰勒规则以及最优(代表代理人效用最大化)泰勒规则之前的各种泰勒规则设置相比,NGDP 增长率目标制表现不佳。金融部门的存在表明,在该模型中,不仅 NGDP 增长率目标制在创造福利方面是其他目标和规则中最不成功的;NGDP 增长率目标制还会导致政策利率和大多数金融变量的波动性急剧上升。
Nominal GDP growth targeting vs. Taylor rules in a model with financial frictions
Nominal GDP growth targeting has gained favor over the last few decades in monetary policy literature (e.g., Ireland 2020; Garín et al. 2016; Beckworth and Hendrickson 2020). Calibrated, small-scale New Keynesian DSGE models have supported the proposition that nominal GDP growth (NGDP growth) rate targeting will improve welfare as compared with alternative strategies such as inflation targeting and Taylor rules with standard parameter settings. This paper examines that proposition in the context of a medium-scale New Keynesian model having a financial sector with frictions. In that model, NGDP growth rate targeting does poorly as compared with the Optimal Taylor rule and a wide range of Taylor rule settings leading up to the Optimal (representative agent utility maximizing) Taylor rule. The presence of the financial sector reveals that not only is NGDP growth rate targeting the least successful among the alternative targets and rules in creating welfare in this model; NGDP growth rate targeting also creates dramatically higher volatility of the policy rate and most financial variables.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.