G2TT
来源类型Discussion paper
规范类型论文
来源IDDP17153
DP17153 Dynamic Identification Using System Projections and Instrumental Variables
Daniel Lewis; Karel Mertens
发表日期2022-03-29
出版年2022
语种英语
摘要We propose System Projections with Instrumental Variables (SP-IV) to estimate dynamic structural relationships. SP-IV replaces lag sequences of instruments in traditional IV with lead sequences of endogenous variables. SP-IV allows the inclusion of controls to weaken exogeneity requirements, can be more efficient than IV with lags, and allows identification over many time horizons without creating many-weak-instruments problems. SP-IV also enables the estimation of structural relationships across impulse responses obtained from local projections or vector autoregressions. We provide a bias-based test for instrument strength, and inference procedures under strong and weak identification. SP-IV outperforms competing estimators of the Phillips Curve parameters in simulations. We estimate the Phillips Curve implied by the main business cycle shock of Angeletos, Collard and Dellas (2020), and find evidence for forward-looking behavior. The data is consistent with weak but also relatively strong cyclical connections between inflation and unemployment.
主题Monetary Economics and Fluctuations
关键词Structural equations Instrumental variables Impulse responses Robust inference Phillips curve Inflation dynamics
URLhttps://cepr.org/publications/dp17153
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/546144
推荐引用方式
GB/T 7714
Daniel Lewis,Karel Mertens. DP17153 Dynamic Identification Using System Projections and Instrumental Variables. 2022.
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