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get_var_lagcrit

Computes AICc, AIC and BIC for VAR


Description

Computes AICc, AIC and BIC for VAR models.

Usage

get_var_lagcrit(endog_data, specs = NULL)

Arguments

endog_data

A data.frame with endogenous variables for the VAR

specs

A list created in lp_lin

Value

A list with lag length criteria

References

Akaike, H. (1974). "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716–723.

Hamilton, J. D. (1994). "Time Series Analysis." Princeton: Princeton University Press.

Hurvich, C. M., and Tsai, C.-L. (1989), "Regression and time series model selection in small samples", Biometrika, 76(2): 297–307

Lütkepohl, H. (2005). "New Introduction to Multiple Time Series Analysis.", New York: Springer.

Schwarz, Gideon E. (1978). "Estimating the dimension of a model", Annals of Statistics, 6 (2): 461–464.


lpirfs

Local Projections Impulse Response Functions

v0.2.0
GPL (>= 2)
Authors
Philipp Adämmer [aut, cre] (<https://orcid.org/0000-0003-3770-0097>), James P. LeSage [ctb], Mehmet Balcilar [ctb], Jon Danielsson [ctb]
Initial release

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