Authors: Keweloh, Sascha Alexander
Title: Structural vector autoregressions and information in moments beyond the variance
Language (ISO): en
Abstract: This dissertation is concerned with the estimation of the simultaneous interaction in non- Gaussian SVAR models using generalized method of moments (GMM) estimators with higher- order moment conditions. The dissertation contributes to the literature by providing identification results using higher-order moment conditions derived from the assumption of independent structural shocks, by proposing modifications to the GMM estimation procedure to improve the small sample performance in the presence of higher-order moment conditions, and by developing a framework to combine traditional restriction based approaches with data-driven identification and estimation approaches.
Subject Headings: Structural vector autoregression
Identification
Non-Gaussian
Independent
GMM
Subject Headings (RSWK): Vektor-autoregressives Modell
Nichtgaußscher Prozess
URI: http://hdl.handle.net/2003/41066
http://dx.doi.org/10.17877/DE290R-22913
Issue Date: 2022
Appears in Collections:Fachgebiet Applied Economics

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