Cumulative Density Function - Probabilities with Probit
Posted: Sat May 21, 2011 12:13 am
Hello,
I am using a probit model to assess the predictive power on bond term-spreads in relation to real economic activity. I have estimated all the variables etc, and now I wish to construct a probability table which is intended to showcase the probability of a recession given a certain level of the term-spread.
However I am having trouble calculating this and I have no idea why as I am fairly used to utilize the Z-table.
In my econometrics book there is an example where the authors have estimated (Probit) two variables;
C = -1.0166
X = 0.04846
where X = Income. The idea of the example is to estimate the probability of owning a house given a certain income. The example continues with X = 6 (thousand dollars). They find the normal density function at f[-1.0166 + 0.04846*(6)] = f(-0.72548).
The authors then continues to state that "if you refer to the normal distribution table you will find that for Z = -0.72548, the normal density is about 0.3066. I am unable to get this value, even with interpolation.
From the Z-table I get
0.72 = 0,2642
0.73 = 0,2673
No matter how I treat the numbers I do not end up with 0.3066. Any help is appriciated as to how I am supposed to treat the numbers in order to get 0.3066.
After this it is straightforward as they take the normal density of 0.3066 and multiplies by the beta coeficient (X = 0.04846) and end up with a probability of 0.01485, i.e. starting with an income of $6000, if the income goes up by 1000, the probability of purchasing a house goes up by about 1.48%.
-Thanks
I am using a probit model to assess the predictive power on bond term-spreads in relation to real economic activity. I have estimated all the variables etc, and now I wish to construct a probability table which is intended to showcase the probability of a recession given a certain level of the term-spread.
However I am having trouble calculating this and I have no idea why as I am fairly used to utilize the Z-table.
In my econometrics book there is an example where the authors have estimated (Probit) two variables;
C = -1.0166
X = 0.04846
where X = Income. The idea of the example is to estimate the probability of owning a house given a certain income. The example continues with X = 6 (thousand dollars). They find the normal density function at f[-1.0166 + 0.04846*(6)] = f(-0.72548).
The authors then continues to state that "if you refer to the normal distribution table you will find that for Z = -0.72548, the normal density is about 0.3066. I am unable to get this value, even with interpolation.
From the Z-table I get
0.72 = 0,2642
0.73 = 0,2673
No matter how I treat the numbers I do not end up with 0.3066. Any help is appriciated as to how I am supposed to treat the numbers in order to get 0.3066.
After this it is straightforward as they take the normal density of 0.3066 and multiplies by the beta coeficient (X = 0.04846) and end up with a probability of 0.01485, i.e. starting with an income of $6000, if the income goes up by 1000, the probability of purchasing a house goes up by about 1.48%.
-Thanks