A topological view on the identification of structural vector autoregressions
نویسندگان
چکیده
منابع مشابه
On the Identification of Structural Vector Autoregressions
F ollowing seminal work by Sims (1980a, 1980b), the economics profession has become increasingly concerned with studying sources of economic fluctuations. Sims’s use of vector autoregressions (VARs) made it possible to address both the relative importance and the dynamic effect of various shocks on macroeconomic variables. This type of empirical analysis has had at least two important consequen...
متن کاملIdentification of Structural Vector Autoregressions by Stochastic Volatility
In Structural Vector Autoregressive (SVAR) models, heteroskedasticity can be exploited to identify structural parameters statistically. In this paper, we propose to capture time variation in the second moment of structural shocks by a stochastic volatility (SV) model, assuming that their log variances follow latent AR(1) processes. Estimation is performed by Gaussian Maximum Likelihood and an e...
متن کاملIdentification and estimation of non-Gaussian structural vector autoregressions
Conventional structural vector autoregressive (SVAR) models with Gaussian errors are not identified, and additional identifying restrictions are typically imposed in applied work. We show that the Gaussian case is an exception in that a SVAR model whose error vector consists of independent non-Gaussian components is, without any additional restrictions, identified and leads to (essentially) uni...
متن کاملLecture Notes on Structural Vector Autoregressions
• Macroeconomic background – Sims (1980) – Stock and Watson (1988) • Vector Autoregressions 1. Stationarity vs. nonstationarity 2. Structural models 3. Dynamic experiments 4. Estimation – Lütkepohl (1991), chapter 2 – Hamilton (1994), chapter 11 – Sims (1980) – Cooley and LeRoy (1985) – Runkle (1987) • Cointegration and Common Trends – Johansen and Juselius (1990) – King, Plosser, Stock, and Wa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Economics Letters
سال: 2016
ISSN: 0165-1765
DOI: 10.1016/j.econlet.2016.05.003