Economics at your fingertips  

Threshold Endogeneity in Threshold VARs: An Application to Monetary State Dependence

Dimitris Christopoulos, Peter McAdam () and Elias Tzavalis

No RWP 23-09, Research Working Paper from Federal Reserve Bank of Kansas City

Abstract: A new method refines the threshold vector autoregressive model used to study the effects of monetary policy. We contribute a new method for dealing with the problem of endogeneity of the threshold variable in threshold vector auto-regression (TVAR) models. Drawing on copula theory enables us to capture the dependence structure between the threshold variable and the vector of TVAR innovations, independently of the marginal distribution of the threshold variable. A Monte Carlo demonstrates that our method works well, and that ignoring threshold endogeneity leads to biased estimates of the threshold parameter and the variance-covariance error structure, thus invalidating dynamic analysis. As an application, we assess the effects of interest rate shocks on output and inflation: when “expected” inflation exceeds 3.6 percent, the effects of monetary policy are faster and stronger than otherwise.

Keywords: VAR models; threshold models; monetary policy (search for similar items in EconPapers)
JEL-codes: C32 E40 E50 (search for similar items in EconPapers)
Pages: 68
Date: 2023-07-28
New Economics Papers: this item is included in nep-cba, nep-ecm, nep-ets and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) ... osmcadamtzavalis.pdf Full Text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This working paper can be ordered from

DOI: 10.18651/RWP2023-09

Access Statistics for this paper

More papers in Research Working Paper from Federal Reserve Bank of Kansas City Contact information at EDIRC.
Bibliographic data for series maintained by Zach Kastens ().

Page updated 2024-02-27
Handle: RePEc:fip:fedkrw:96762