2018
DOI: 10.1002/jae.2629
|View full text |Cite
|
Sign up to set email alerts
|

Testing for optimal monetary policy via moment inequalities

Abstract: Summary The specification of an optimizing model of the monetary transmission mechanism requires selecting a policy regime: commonly, commitment or discretion. In this paper we propose a new procedure for testing optimal monetary policy, relying on moment inequalities that nest commitment and discretion as two special cases. The approach is based on the derivation of bounds for inflation that are consistent with optimal policy under either policy regime. We derive testable implications that allow for specifica… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 64 publications
0
2
0
Order By: Relevance
“…This is accomplished under a recursive estimation scheme, by extending the recursive block bootstrap introduced in Corradi and Swanson (2007). For the case of fixed estimation scheme, generalized moment selection (GMS) tests in the presence of nonvanishing estimation error have been considered in Coroneo et al (2018).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is accomplished under a recursive estimation scheme, by extending the recursive block bootstrap introduced in Corradi and Swanson (2007). For the case of fixed estimation scheme, generalized moment selection (GMS) tests in the presence of nonvanishing estimation error have been considered in Coroneo et al (2018).…”
Section: Introductionmentioning
confidence: 99%
“…This is accomplished under a recursive estimation scheme, by extending the recursive block bootstrap introduced in Corradi and Swanson (2007). For the case of fixed estimation scheme, generalized moment selection (GMS) tests in the presence of nonvanishing estimation error have been considered in Coroneo et al (2018). Linton et al (2010) also develop tests for stochastic dominance which are correctly asymptotically sized over the boundary of the null, for the pairwise comparison case.…”
Section: Introductionmentioning
confidence: 99%