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This paper develops a complete limit theory for Wald tests of Granger causality in levels vector autoregression (VAR's) and Johansen-type error correction models (ECM's) allowing for the presence of stochastic trends and cointegration. Earlier work by Sims, Stock and Watson (1990) on trivariate...
Persistent link: https://www.econbiz.de/10005464026
This paper analyzes whether inclusion of a statistically independent random walk in a vector autoregression can result in spurious inference. The problem was raised originally by Ohanian (1988). In a Monte Carlo simulation based on the VAR's estimated by Sims (1980b, 1982), Ohanian found that...
Persistent link: https://www.econbiz.de/10005593564
This paper investigates through Monte Carlo simulation the finite sample properties of likelihood ratio tests for cointegrating ranks that were proposed by Johansen (1991, <italic>Econometrica</italic> 59, 1551–1580). We transform the model into a canonical form so that the experiment is well controlled...
Persistent link: https://www.econbiz.de/10005610440
The purpose of this paper is to derive the asymptotic distributions of some Lagrange Multiplier (LM) tests for unit roots in time series models in the presence of missing observations, and to provide evidence on the small sample properties of these tests. LM tests for a unit root in a...
Persistent link: https://www.econbiz.de/10010749222
This paper provides a theoretical overview of Wald tests for Granger causality in levels vector autoregressions (VAR's) and Johansen-type error correction models (ECM's) for VAR models the results for inference are not encouraging. The limit theory typically involves nonstandard distributions...
Persistent link: https://www.econbiz.de/10005634733