零利率下限下货币政策立场的识别:利用货币-财政政策相互依赖的马尔可夫转换估计

Identifying the Stance of Monetary Policy at the Zero Lower Bound: A Markov‐Switching Estimation Exploiting Monetary‐Fiscal Policy Interdependence

Journal of Money, Credit and Banking · 2018
被引 13
人大 A-ABS 4

中文导读

提出一种在零利率下限约束下估计马尔可夫转换泰勒规则的方法,通过关联辅助的财政政策规则转换来识别货币政策立场,并用美国数据验证了货币与财政政策的协同变化。

Abstract

Abstract In this paper, I propose an econometric technique to estimate a Markov‐switching Taylor rule subject to the zero lower bound of interest rates. I show that linking the switching of the Taylor rule coefficients to the switching of the coefficients of an auxiliary uncensored Markov‐switching regression improves the identification of an otherwise unidentifiable prevalent monetary regime because of the presence of the zero lower bound. Using a Markov‐switching fiscal policy rule as the auxiliary regression, I apply the estimation technique to U.S. data. Results show evidence of monetary and fiscal policy comovements, with monetary policy reacting weakly to inflation when fiscal policy is focused on real activity as opposed to debt stabilization, and vice versa.

零利率下限马尔可夫转换泰勒规则货币政策立场财政政策相互依存