Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/230733 
Autor:innen: 
Erscheinungsjahr: 
2018
Schriftenreihe/Nr.: 
IRTG 1792 Discussion Paper No. 2018-022
Verlag: 
Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", Berlin
Zusammenfassung: 
The New Keynesian theory of inflation determination has been under scrutiny due to identification issues, which rather have to do with the mechanism of inflation determination at its core (i.e. Cochrane (2011)). Moreover, similar identification problems arise in the case of fiscal inflation (see for example Leeper and Leith (2016), Leeper and Li (2017) and Leeper and Walker (2012)). This paper makes a positive contribution. We argue that statements about observational equivalence stem from referring to the equilibrium path, while this should not be our primary source of identifying restrictions. Moreover, policy identification (or lack thereof) relies on assumptions on the underlying shock structure, which is unobservable. We instead extract shocks using heterogeneous uncertain restrictions and external datasets, that is, we learn from errors. We are then able to recover deep and policy parameters irrespective of the prevailing equilibrium. We provide time varying evidence on the efficacy of policy in stabilizing the US economy and on the time varying plausibility of Ricardian versus non-Ricardian price determination. Results are work in progress.
Schlagwörter: 
Monetary and fiscal policy
Price Determination
Identification
Learning from errors
JEL: 
C11
C13
E62
E63
Dokumentart: 
Working Paper

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