We demonstrate that a popular method of estimating underlying structural macroeconomic shocks and their impulse-response functions through recursive long-run structural restrictions on a vector autoregressive representation is not uniquely identified. We show, however, that it may be possible to infer additional qualitative restrictions to achieve identification. We illustrate with two applied examples, corresponding to a simple aggregate supply-aggregate demand framework for the USA and to a stochastic Mundell-Fleming-Dornbusch framework for the USA and Japan. The second example also illustrates how over-identifying restrictions of the underlying framework may be examined informally. Copyright (C) 2004 John Wiley Sons, Ltd
In structural vector autoregressive (SVAR) analysis a Markov regime switching (MS) property can be e...
The structural vector-autoregression (SVAR) method uses restrictions from eco-nomic theory to identi...
We show that the standard procedure for estimating long-run identified vector autoregressions uses a...
Shock identification in Vector Autoregressive (VAR) models has often put researchers in a position f...
Abstract: This paper investigates conditions under which empirical models that use long-run recursiv...
Long-run restrictions can be imposed on a vector autoregressive model to identify structural macroec...
This paper investigates conditions under which a long-run recursive model can be used to identify a ...
AbstractConventional structural vector autoregressive (SVAR) models with Gaussian errors are not ide...
Article first published online: 7 AUG 2015This paper provides a general procedure to estimate struct...
A growing line of research makes use of structural changes and different volatility regimes found in...
A growing line of research makes use of structural changes and different volatility regimes found i...
We employ a non-recursive identification scheme to identify the effects of a monetary policy shock i...
We provide necessary and sufficient conditions for the identification of Structural Vector Autoregre...
Most macroeconomic models, both fully structural models as well as SVAR models, view economic outcom...
We employ a non-recursive identification scheme to identify the effects of a monetary policy shock i...
In structural vector autoregressive (SVAR) analysis a Markov regime switching (MS) property can be e...
The structural vector-autoregression (SVAR) method uses restrictions from eco-nomic theory to identi...
We show that the standard procedure for estimating long-run identified vector autoregressions uses a...
Shock identification in Vector Autoregressive (VAR) models has often put researchers in a position f...
Abstract: This paper investigates conditions under which empirical models that use long-run recursiv...
Long-run restrictions can be imposed on a vector autoregressive model to identify structural macroec...
This paper investigates conditions under which a long-run recursive model can be used to identify a ...
AbstractConventional structural vector autoregressive (SVAR) models with Gaussian errors are not ide...
Article first published online: 7 AUG 2015This paper provides a general procedure to estimate struct...
A growing line of research makes use of structural changes and different volatility regimes found in...
A growing line of research makes use of structural changes and different volatility regimes found i...
We employ a non-recursive identification scheme to identify the effects of a monetary policy shock i...
We provide necessary and sufficient conditions for the identification of Structural Vector Autoregre...
Most macroeconomic models, both fully structural models as well as SVAR models, view economic outcom...
We employ a non-recursive identification scheme to identify the effects of a monetary policy shock i...
In structural vector autoregressive (SVAR) analysis a Markov regime switching (MS) property can be e...
The structural vector-autoregression (SVAR) method uses restrictions from eco-nomic theory to identi...
We show that the standard procedure for estimating long-run identified vector autoregressions uses a...