vgets: A command to estimate general-to-specific VARs, Granger causality, steady-state effects, and cumulative impulse–responses
Muhammad Asali
Abstract
Muhammad Asali
Abstract
Vector autoregression (VAR) estimation is a vital tool in economic studies. VARs, however, can be dimensionally cumbersome and overparameterized. The vgets command allows for a general-to-specific estimation of VARs— overcoming the potential overparameterization—and provides tests for Granger causality, estimates of the long-run effects, and the cumulative impulse–response of each variable in the system; it also offers diagnostics that facilitate a genuinecausality interpretation of the Granger causality tests.
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Vector autoregression (VAR) estimation is a vital tool in economic studies. VARs, however, can be dimensionally cumbersome and overparameterized. The vgets command allows for a general-to-specific estimation of VARs— overcoming the potential overparameterization—and provides tests for Granger causality, estimates of the long-run effects, and the cumulative impulse–response of each variable in the system; it also offers diagnostics that facilitate a genuinecausality interpretation of the Granger causality tests.
Key concepts: Granger causality, Vector autoregression, Impulse response, Econometrics, Impulse (physics), Estimation, Causality (physics), Economics