Near singular matrix
Moderators: EViews Gareth, EViews Moderator
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Near singular matrix
Please I need help, I'm trying to make a Least Squares analysis but I have trouble when entering my equation because i get the message "Near singular matrix".
the equation is:
c(1) c(2) c(3) c(1)*0.0128*0.507*capital^(0.507-1)-c(2)*(descuento+0.05)+c(3)*(efectividad-(0.507/capital))*consumo
And i have attached my eviews file, please someone knows what's wrong? i need that for my thesis urgently. Thanks
the equation is:
c(1) c(2) c(3) c(1)*0.0128*0.507*capital^(0.507-1)-c(2)*(descuento+0.05)+c(3)*(efectividad-(0.507/capital))*consumo
And i have attached my eviews file, please someone knows what's wrong? i need that for my thesis urgently. Thanks
- Attachments
-
- prueba.wf1
- (9.04 KiB) Downloaded 285 times
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Near singular matrix
The leadingPlease I need help, I'm trying to make a Least Squares analysis but I have trouble when entering my equation because i get the message "Near singular matrix".
the equation is:
c(1) c(2) c(3) c(1)*0.0128*0.507*capital^(0.507-1)-c(2)*(descuento+0.05)+c(3)*(efectividad-(0.507/capital))*consumo
And i have attached my eviews file, please someone knows what's wrong? i need that for my thesis urgently. Thanks
Code: Select all
c(1) c(2) c(3) -
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
OK, i've erased c(1) c(2) c(3) from the equation and the error message dessapeared.
But now the least squares method only returns 0 and 1 values for c(1) c(2) c(3)...what 'im still doing wrong?
thanks and sorry, i'm new in eviews.
But now the least squares method only returns 0 and 1 values for c(1) c(2) c(3)...what 'im still doing wrong?
thanks and sorry, i'm new in eviews.
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
OK, i've erased c(1) c(2) c(3) from the equation and the error message dessapeared.
But now the least squares method only returns 0 and 1 values for c(1) c(2) c(3)...what 'im still doing wrong?
thanks and sorry, i'm new in eviews.
But now the least squares method only returns 0 and 1 values for c(1) c(2) c(3)...what 'im still doing wrong?
thanks and sorry, i'm new in eviews.
The leadingPlease I need help, I'm trying to make a Least Squares analysis but I have trouble when entering my equation because i get the message "Near singular matrix".
the equation is:
c(1) c(2) c(3) c(1)*0.0128*0.507*capital^(0.507-1)-c(2)*(descuento+0.05)+c(3)*(efectividad-(0.507/capital))*consumo
And i have attached my eviews file, please someone knows what's wrong? i need that for my thesis urgently. Thanksprobably doesn't belong there.Code: Select all
c(1) c(2) c(3)
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
ah and i'm using eviews 6, please help!
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Near singular matrix
Try running least squares by listing your dependent variable followed by your independent variables (separated by spaces).
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
Try running least squares by listing your dependent variable followed by your independent variables (separated by spaces).
Ok so I have:
m n p v c(1)*0.0128*0.507*m^(0.507-1)-c(2)*(p+0.05)+c(3)*(v-(0.507/m))*n (In the equation estimation)
where m n p v are my independent variables, but the dependent variable i dont know how to distinguishe it ¿? sorry again and thanks for your time!
-
EViews Gareth
- Fe ddaethom, fe welon, fe amcangyfrifon
- Posts: 13604
- Joined: Tue Sep 16, 2008 5:38 pm
Near singular matrix
I think, perhaps, you need to figure out your equation mathematically before you can figure out how to estimate it in EViews.
What exactly is the equation you're estimating?
What exactly is the equation you're estimating?
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
I think, perhaps, you need to figure out your equation mathematically before you can figure out how to estimate it in EViews.
What exactly is the equation you're estimating?
I'm studying a economic growth model with enviromental externalities involved. The model equation is the following:
gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c
So I have time series from 1970-2000 for k, c, rho and phi (wich I already imported from excel).
For the rest of variables: A, B and delta I have constants values assigned (A=0.0128; B=0.507; delta=0.05)
Finnaly v is the variable that i need to estimate, because I need to define if it is significant for the model or not.
So the equation i've wrote in eviews is:
C(1)*0.0128*0.507*K^(0.507-1)-C(2)*(rho+0.05)+C(3)*(V-(0.507/k))*cons
When i define this equation and run the Least Squares, I only obtain 0 and 1 in the ESTIMATION OUTPUT, what is it that i'm doing wrong? Thanks a lot for your time i really appreciate it.
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
I think, perhaps, you need to figure out your equation mathematically before you can figure out how to estimate it in EViews.
What exactly is the equation you're estimating?
Here I uploaded my file, the final equation is: C(1)*0.0128*0.507*K^(0.507-1)-C(2)*(P+0.05)+C(3)*(PHI-(0.507/K))*CONS
Thanks again gareth.
- Attachments
-
- prueba.wf1
- (11 KiB) Downloaded 259 times
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Near singular matrix
Where do you get the values of gamma?I think, perhaps, you need to figure out your equation mathematically before you can figure out how to estimate it in EViews.
What exactly is the equation you're estimating?
I'm studying a economic growth model with enviromental externalities involved. The model equation is the following:
gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c
So I have time series from 1970-2000 for k, c, rho and phi (wich I already imported from excel).
For the rest of variables: A, B and delta I have constants values assigned (A=0.0128; B=0.507; delta=0.05)
Finnaly v is the variable that i need to estimate, because I need to define if it is significant for the model or not.
So the equation i've wrote in eviews is:
C(1)*0.0128*0.507*K^(0.507-1)-C(2)*(rho+0.05)+C(3)*(V-(0.507/k))*cons
When i define this equation and run the Least Squares, I only obtain 0 and 1 in the ESTIMATION OUTPUT, what is it that i'm doing wrong? Thanks a lot for your time i really appreciate it.
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
Where do you get the values of gamma?I think, perhaps, you need to figure out your equation mathematically before you can figure out how to estimate it in EViews.
What exactly is the equation you're estimating?
I'm studying a economic growth model with enviromental externalities involved. The model equation is the following:
gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c
So I have time series from 1970-2000 for k, c, rho and phi (wich I already imported from excel).
For the rest of variables: A, B and delta I have constants values assigned (A=0.0128; B=0.507; delta=0.05)
Finnaly v is the variable that i need to estimate, because I need to define if it is significant for the model or not.
So the equation i've wrote in eviews is:
C(1)*0.0128*0.507*K^(0.507-1)-C(2)*(rho+0.05)+C(3)*(V-(0.507/k))*cons
When i define this equation and run the Least Squares, I only obtain 0 and 1 in the ESTIMATION OUTPUT, what is it that i'm doing wrong? Thanks a lot for your time i really appreciate it.
The values of gamma are given because:
A = rate of available technology (1,28%)
B = capital output share (0,507)
delta = depreciation rate (5%)
All this numbers are for a specific economy wich my model is based on.
To clarify, the variables of the model "gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c" are:
gamma = economic growth path
A, B, delta defined above.
k = gross capital stock
rho = discount rate
v = pollution sensitivity
phi = effectiveness of capital on innovation
c = consumption
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Near singular matrix
But you say you're trying to estimate v. You don't know gamma unless you know v. So this is circular.Where do you get the values of gamma?
I'm studying a economic growth model with enviromental externalities involved. The model equation is the following:
gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c
So I have time series from 1970-2000 for k, c, rho and phi (wich I already imported from excel).
For the rest of variables: A, B and delta I have constants values assigned (A=0.0128; B=0.507; delta=0.05)
Finnaly v is the variable that i need to estimate, because I need to define if it is significant for the model or not.
So the equation i've wrote in eviews is:
C(1)*0.0128*0.507*K^(0.507-1)-C(2)*(rho+0.05)+C(3)*(V-(0.507/k))*cons
When i define this equation and run the Least Squares, I only obtain 0 and 1 in the ESTIMATION OUTPUT, what is it that i'm doing wrong? Thanks a lot for your time i really appreciate it.
The values of gamma are given because:
A = rate of available technology (1,28%)
B = capital output share (0,507)
delta = depreciation rate (5%)
All this numbers are for a specific economy wich my model is based on.
To clarify, the variables of the model "gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c" are:
gamma = economic growth path
A, B, delta defined above.
k = gross capital stock
rho = discount rate
v = pollution sensitivity
phi = effectiveness of capital on innovation
c = consumption
-
moirapasseron
- Posts: 14
- Joined: Tue Jun 15, 2010 6:56 pm
Re: Near singular matrix
The values of gamma are given because:
A = rate of available technology (1,28%)
B = capital output share (0,507)
delta = depreciation rate (5%)
All this numbers are for a specific economy wich my model is based on.
To clarify, the variables of the model "gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c" are:
gamma = economic growth path
A, B, delta defined above.
k = gross capital stock
rho = discount rate
v = pollution sensitivity
phi = effectiveness of capital on innovation
c = consumption[/quote]
But you say you're trying to estimate v. You don't know gamma unless you know v. So this is circular.[/quote]
yes I don't know gamma, i just assigned known values to some variables (A, B and delta) in gamma.
Or you say I have to eliminate those values for this to work?
thanks again for your attention.
A = rate of available technology (1,28%)
B = capital output share (0,507)
delta = depreciation rate (5%)
All this numbers are for a specific economy wich my model is based on.
To clarify, the variables of the model "gamma = A*B*K^(B-1) - (rho+delta) + v (phi - (B/k))*c" are:
gamma = economic growth path
A, B, delta defined above.
k = gross capital stock
rho = discount rate
v = pollution sensitivity
phi = effectiveness of capital on innovation
c = consumption[/quote]
But you say you're trying to estimate v. You don't know gamma unless you know v. So this is circular.[/quote]
yes I don't know gamma, i just assigned known values to some variables (A, B and delta) in gamma.
Or you say I have to eliminate those values for this to work?
thanks again for your attention.
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Near singular matrix
To oversimplify, you have two unknowns (v and gamma) and only one equation. There's no way to get a meaningful solution. My recommendation would be to rethink what you're trying to estimate from the beginning.
Who is online
Users browsing this forum: No registered users and 2 guests
