Hi everyone!
I created a multinomial logit model with a program in eviews. The problem I have now is that I can not create the prediction realisation or the marginal effects of the coefficients. Also the forecast option is not there. Does anyone know how I can do these things?
Thanx in advance!
Kind regards
Marginal effects multinomial logit model
Moderators: EViews Gareth, EViews Jason, EViews Steve, EViews Moderator
Re: Marginal effects multinomial logit model
Hi Douwe,
I'm struggeling with the same things as you were. Have you already found out how to adress these difficulties?
Let me know.
Kind regards.
I'm struggeling with the same things as you were. Have you already found out how to adress these difficulties?
Let me know.
Kind regards.
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Re: Marginal effects multinomial logit model
Dependent Variable: DELISTING
Method: ML - Binary Logit (Newton-Raphson / Marquardt steps)
Date: 07/23/18 Time: 09:25
Sample: 1 164
Included observations: 162
Convergence achieved after 38 iterations
Coefficient covariance computed using observed Hessian
Variable Coefficient Std. Error z-Statistic Prob.
C 0.596078 0.272488 2.187537 0.0287
ASSET_TURN_OVER_RATIO 0.002156 0.007255 0.297166 0.7663
CAGR -0.085497 0.354068 -0.241470 0.8092
CASH_RATIO -0.030019 0.027945 -1.074217 0.2827
DEBT_RATIO -0.901693 0.639664 -1.409634 0.1586
DEBT_TO_EQUITY_RATIO -4.31E-07 8.81E-05 -0.004893 0.9961
EBITDA 8.86E-10 6.01E-10 1.473932 0.1405
EFFICIENCY_RATIO -0.066744 0.132309 -0.504454 0.6139
INTEREST_COVERAGE_RATIO 0.000256 0.000485 0.528042 0.5975
MARKET_CAPACITY -1.84E-13 8.15E-13 -0.225805 0.8214
OPERATING_RATIO 4.12E-05 0.000747 0.055093 0.9561
RETURN_ON_ASSETS -0.173025 0.204240 -0.847166 0.3969
WORKING_CAPITAL -2.22E-11 6.61E-11 -0.335755 0.7371
what does E means and how it can be rectified
Method: ML - Binary Logit (Newton-Raphson / Marquardt steps)
Date: 07/23/18 Time: 09:25
Sample: 1 164
Included observations: 162
Convergence achieved after 38 iterations
Coefficient covariance computed using observed Hessian
Variable Coefficient Std. Error z-Statistic Prob.
C 0.596078 0.272488 2.187537 0.0287
ASSET_TURN_OVER_RATIO 0.002156 0.007255 0.297166 0.7663
CAGR -0.085497 0.354068 -0.241470 0.8092
CASH_RATIO -0.030019 0.027945 -1.074217 0.2827
DEBT_RATIO -0.901693 0.639664 -1.409634 0.1586
DEBT_TO_EQUITY_RATIO -4.31E-07 8.81E-05 -0.004893 0.9961
EBITDA 8.86E-10 6.01E-10 1.473932 0.1405
EFFICIENCY_RATIO -0.066744 0.132309 -0.504454 0.6139
INTEREST_COVERAGE_RATIO 0.000256 0.000485 0.528042 0.5975
MARKET_CAPACITY -1.84E-13 8.15E-13 -0.225805 0.8214
OPERATING_RATIO 4.12E-05 0.000747 0.055093 0.9561
RETURN_ON_ASSETS -0.173025 0.204240 -0.847166 0.3969
WORKING_CAPITAL -2.22E-11 6.61E-11 -0.335755 0.7371
what does E means and how it can be rectified
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- Non-normality and collinearity are NOT problems!
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Re: Marginal effects multinomial logit model
E-11 is scientific notation for times 10 to the minus eleventh power. It is not an error.
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Re: Marginal effects multinomial logit model
can i get any notes about its interpretation or further explanation.
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