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R6 Class Representing IdentificationBSVARSIGN

Source: R/specify.R
specify_identification_bsvarSIGN.Rd

The class IdentificationBSVARSIGN presents the identifying restrictions for the Bayesian Structural VAR models with sign and narrative restrictions.

Public fields

VB

a list of N matrices determining the unrestricted elements of matrix \(B\).

sign_irf

a NxNxH array of sign restrictions on the impulse response functions.

sign_narrative

a ANYx6 matrix of narrative sign restrictions.

sign_structural

a NxN matrix of sign restrictions on contemporaneous relations.

max_tries

a positive integer with the maximum number of iterations for finding a rotation matrix \(Q\) that would satisfy sign restrictions.

Methods

Public methods

Method new()

Create new identifying restrictions IdentificationBSVARSIGN.

Usage

specify_identification_bsvarSIGN$new(
  N,
  sign_irf,
  sign_narrative,
  sign_structural,
  max_tries = Inf
)

Arguments

N

a positive integer - the number of dependent variables in the model.

sign_irf

a NxNxH array - sign and zero restrictions on the impulse response functions, ±1 for positive/negative sign restriction 0 for zero restrictions and NA for no restrictions, the h-th slice NxN matrix contains the restrictions on the h-1 horizon.

sign_narrative

a list of objects of class "narrative" - narrative sign restrictions.

sign_structural

a NxN matrix with entries ±1 or NA - sign restrictions on the contemporaneous relations B between reduced-form errors E and structural shocks U where BE=U.

max_tries

a positive integer with the maximum number of iterations for finding a rotation matrix \(Q\) that would satisfy sign restrictions.

Returns

Identifying restrictions IdentificationBSVARSIGN.

Method get_identification()

Returns the elements of the identification pattern IdentificationBSVARSIGN as a list.

Usage

specify_identification_bsvarSIGN$get_identification()

Method set_identification()

Set new starting values StartingValuesBSVARSIGN.

Usage

specify_identification_bsvarSIGN$set_identification(
  N,
  sign_irf,
  sign_narrative,
  sign_structural
)

Arguments

N

a positive integer - the number of dependent variables in the model.

sign_irf

a NxNxH array - sign and zero restrictions on the impulse response functions, ±1 for positive/negative sign restriction 0 for zero restrictions and NA for no restrictions, the h-th slice NxN matrix contains the restrictions on the h-1 horizon.

sign_narrative

a list of objects of class "narrative" - narrative sign restrictions.

sign_structural

a NxN matrix with entries ±1 or NA - sign restrictions on the contemporaneous relations B between reduced-form errors E and structural shocks U where BE=U.

max_tries

a positive integer with the maximum number of iterations for finding a rotation matrix \(Q\) that would satisfy sign restrictions

Method clone()

The objects of this class are cloneable with this method.

Usage

specify_identification_bsvarSIGN$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# recursive specification for a 5-variable system
specify_identification_bsvarSIGN$new(N = 5)
#> <IdentificationBSVARSIGN>
#>   Public:
#>     VB: list
#>     clone: function (deep = FALSE) 
#>     get_identification: function () 
#>     initialize: function (N, sign_irf, sign_narrative, sign_structural, max_tries = Inf) 
#>     max_tries: Inf
#>     set_identification: function (N, sign_irf, sign_narrative, sign_structural) 
#>     sign_irf: NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA ...
#>     sign_narrative: list
#>     sign_structural: 1 NA NA NA NA NA 1 NA NA NA NA NA 1 NA NA NA NA NA 1 NA  ...

# specify sign restrictions of the first shock on the contemporaneous IRF
# + no effect on the first variable
# + positive effect on the second variable
sign_irf = matrix(c(0, 1, rep(NA, 23)), 5, 5)
specify_identification_bsvarSIGN$new(N = 5, sign_irf = sign_irf) 
#> <IdentificationBSVARSIGN>
#>   Public:
#>     VB: list
#>     clone: function (deep = FALSE) 
#>     get_identification: function () 
#>     initialize: function (N, sign_irf, sign_narrative, sign_structural, max_tries = Inf) 
#>     max_tries: Inf
#>     set_identification: function (N, sign_irf, sign_narrative, sign_structural) 
#>     sign_irf: 0 1 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA N ...
#>     sign_narrative: list
#>     sign_structural: NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA ...