Blanchard And Kahn' S Conditions
Posted: Fri Mar 04, 2016 4:24 pm
Dear all,
I try to replicate the model from "An Estimated Dynamic Stochastic General Equilibrium Model of the Jordanian Economy" by Samya Beidas-Strom and Tigran Poghosyan (2011)
I check the steady state and resid, which all takes value of 0 nicely as they should be.
However, I got an error "Blanchard Kahn conditions are not satisfied: indeterminacy," so I look through the forum and found that I have to check for my eigenvalues
Then I check for eigenvalues and found out "There are 4 eigenvalue(s) larger than 1 in modulus for 5 forward-looking variable(s)."
This led me to another forum suggested to use model diagnostic to get further information. I got the following.
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MODEL_DIAGNOSTICS: The Jacobian of the static model is singular
MODEL_DIAGNOSTICS: there is 2 colinear relationships between the variables and the equations
Relation 1
Colinear variables:
pfstar
pf
e
p
Relation 2
Colinear variables:
pfstar
pf
e
p
Relation 1
Colinear equations
Columns 1 through 20
1 2 3 6 7 8 9 10 11 12 13 14 16 17 18 19 20 21 22 23
Columns 21 through 31
24 25 26 27 28 29 30 32 33 34 35
Relation 2
Colinear equations
21 22
MODEL_DIAGNOSTICS: The singularity seems to be (partly) caused by the presence of a unit root
MODEL_DIAGNOSTICS: as the absolute value of one eigenvalue is in the range of +-1e-6 to 1.
MODEL_DIAGNOSTICS: If the model is actually supposed to feature unit root behavior, such a warning is expected,
MODEL_DIAGNOSTICS: but you should nevertheless check whether there is an additional singularity problem.
MODEL_DIAGNOSTICS: The presence of a singularity problem typically indicates that there is one
MODEL_DIAGNOSTICS: redundant equation entered in the model block, while another non-redundant equation
MODEL_DIAGNOSTICS: is missing. The problem often derives from Walras Law.
-------------------------------------------------------------------------------------------------------------------------------------------------------------------
Can any one explain for me how to interpret this and possibly how can I fix my model.
Thank you very much for your time.
Sincerely,
Far
I try to replicate the model from "An Estimated Dynamic Stochastic General Equilibrium Model of the Jordanian Economy" by Samya Beidas-Strom and Tigran Poghosyan (2011)
I check the steady state and resid, which all takes value of 0 nicely as they should be.
However, I got an error "Blanchard Kahn conditions are not satisfied: indeterminacy," so I look through the forum and found that I have to check for my eigenvalues
Then I check for eigenvalues and found out "There are 4 eigenvalue(s) larger than 1 in modulus for 5 forward-looking variable(s)."
This led me to another forum suggested to use model diagnostic to get further information. I got the following.
------------------------------------------------------------------------------------------------------------------------------------------------------
MODEL_DIAGNOSTICS: The Jacobian of the static model is singular
MODEL_DIAGNOSTICS: there is 2 colinear relationships between the variables and the equations
Relation 1
Colinear variables:
pfstar
pf
e
p
Relation 2
Colinear variables:
pfstar
pf
e
p
Relation 1
Colinear equations
Columns 1 through 20
1 2 3 6 7 8 9 10 11 12 13 14 16 17 18 19 20 21 22 23
Columns 21 through 31
24 25 26 27 28 29 30 32 33 34 35
Relation 2
Colinear equations
21 22
MODEL_DIAGNOSTICS: The singularity seems to be (partly) caused by the presence of a unit root
MODEL_DIAGNOSTICS: as the absolute value of one eigenvalue is in the range of +-1e-6 to 1.
MODEL_DIAGNOSTICS: If the model is actually supposed to feature unit root behavior, such a warning is expected,
MODEL_DIAGNOSTICS: but you should nevertheless check whether there is an additional singularity problem.
MODEL_DIAGNOSTICS: The presence of a singularity problem typically indicates that there is one
MODEL_DIAGNOSTICS: redundant equation entered in the model block, while another non-redundant equation
MODEL_DIAGNOSTICS: is missing. The problem often derives from Walras Law.
-------------------------------------------------------------------------------------------------------------------------------------------------------------------
Can any one explain for me how to interpret this and possibly how can I fix my model.
Thank you very much for your time.
Sincerely,
Far