Showing 1 - 7 of 7
We derive the parameter restrictions that a standard equity market model implies for a bivariate vector autoregression for stock prices and dividends, and we show how to test these restrictions using likelihood ratio tests.  The restrictions, which imply that stock returns are unpredictable,...
Persistent link: https://www.econbiz.de/10011004458
This paper has two objectives: the first is to jointly analyse monetary and fiscal policy with a structural VAR model, evaluate the dynamic impact of policy shocks on U.S. output and prices and the contributions of these two sources to fluctuations in these variables. The second objective is to...
Persistent link: https://www.econbiz.de/10005113519
In structural vector autoregressive (SVAR) models identifying restrictions for shocks and impulse responses are usually derived from economic theory or institutional constraints. Sometimes the restrictions are insufficient for identifying all shocks and impulse responses. In this paper it is...
Persistent link: https://www.econbiz.de/10005744255
A central issue of monetary policy analysis is the specification of monetary policy shocks. In a structural vector autoregressive setting there has been some controversy about which restrictions to use for identifying the shocks because standard theories do not provide enough information to...
Persistent link: https://www.econbiz.de/10005697646
In structural vector autoregressive (SVAR) analysis a Markov regime switching (MS) property can be exploited to identify shocks if the reduced form error covariance matrix varies across regimes. Unfortunately, these shocks may not have a meaningful structural economic interpretation. It is...
Persistent link: https://www.econbiz.de/10009018174
Structural vector autoregressive (VAR) models are in frequent use for impulse response analysis. If cointegrated variables are involved, the corresponding vector error correction models offer a convenient framework for imposing structural long-run and short-run restrictions. Occasionally it is...
Persistent link: https://www.econbiz.de/10005557733
We consider forecasting with factors, variables and both, modeling in-sample using Autometrics so all principal components and variables can be included jointly, while tackling multiple breaks by impulse-indicator saturation.  A forecast-error taxonomy for factor models highlights the impacts...
Persistent link: https://www.econbiz.de/10011004145