<p>I don't see how Logit/Probit models are relevant here. They are designed to estimate conditional probabilities, not what you describe.</p>
<p>It appears you postulate a relation</p>
<p><span class="math-container">$$S = f(P, C)$$</span></p>
<p>namely supply being a function of price and cost, and where you treat price as a &quot;control&quot; This could be written as a linear regression model, as a first-order approximation. Why don't you think estimating that model?</p>

CC BY-SA 4.0
2020-11-18T14:40:03.227Z
Yes, I agree. My problem was more about the way my "y" variable was modelled, because I have a lot of 0 values and the different positive values (different than 0), but I found the answer. I am going to apply a Tobit model :)
angelavtc
CC BY-SA 4.0
2020-11-18T13:42:56.783Z
2020-11-18T13:42:56.783Z
Alecos Papadopoulos
<p>I am trying to find an econometric model that helps me to answer the following. I would like to measure how much the increase in the cost of a production factor (my X) shifts the supply curve of a market &quot;A&quot; (my Y). That is, I want to regress Y on X. I have daily data of the supply curve (the pairs Price, Quantity) and the daily cost of the factor. As a first step, I calculated a dummy variable that takes the value 1 if in day t there was a shift to the left with respect to t-1. Then I calculated the variable that measures the displacement if there was a shift (my Y). Which econometric model could I use since Logit and Probit only apply when the variables are 0 or 1, but in this case, I want to know how much the curve moves? Should I take a subsample of all the dummies that are equal to 1 and work with that? I don't think this is the best answer.</p>
<p>Thanks in advance!</p>

CC BY-SA 4.0
2020-11-18T14:59:36.000Z
If you currently don't need something else from us, please upvote my answer so that your question leaves the "unanswered questions" queue.
Alecos Papadopoulos
CC BY-SA 4.0
2020-11-19T16:41:00.000Z
I did! Sorry for the delay.
angelavtc
<econometrics><regression><logit>
Logit/Probit with numbers different than 0 or 1?
angelavtc
# Logit/Probit with numbers different than 0 or 1?

(Asked by: username_0 on 2020-11-18)

I am trying to find an econometric model that helps me to answer the following. I would like to measure how much the increase in the cost of a production factor (my X) shifts the supply curve of a market "A" (my Y). That is, I want to regress Y on X. I have daily data of the supply curve (the pairs Price, Quantity) and the daily cost of the factor. As a first step, I calculated a dummy variable that takes the value 1 if in day t there was a shift to the left with respect to t-1. Then I calculated the variable that measures the displacement if there was a shift (my Y). Which econometric model could I use since Logit and Probit only apply when the variables are 0 or 1, but in this case, I want to know how much the curve moves? Should I take a subsample of all the dummies that are equal to 1 and work with that? I don't think this is the best answer.

Thanks in advance!

**Tags:** econometrics, regression, logit
> **Comments:**
> **username_1**: If you currently don't need something else from us, please upvote my answer so that your question leaves the "unanswered questions" queue.  
> **username_0**: I did! Sorry for the delay.  

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## 1 answers

### Answer by username_1 on 2020-11-18. Score: 3 | Accepted answer

I don't see how Logit/Probit models are relevant here. They are designed to estimate conditional probabilities, not what you describe.

It appears you postulate a relation

$$S = f(P, C)$$

namely supply being a function of price and cost, and where you treat price as a "control" This could be written as a linear regression model, as a first-order approximation. Why don't you think estimating that model?

> **Comments:**
> **username_0**: Yes, I agree. My problem was more about the way my "y" variable was modelled, because I have a lot of 0 values and the different positive values (different than 0), but I found the answer. I am going to apply a Tobit model :)  

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