Dear Statalists,
I am trying to estimate the impact of temperatures on air conditioner adoption. I have an unbalanced panel from 2007 to 2022 at the household level. Unfortunately, I cannot show you any output given that I am working with sensitive data, and I have no access to internet when I work on them. My dependent variable is a binary variable = 1 when the family say that they have air conditioning in their dwelling. Now, once the AC variable = 1, it stays 1 for all the remaining years. So it is non-reversible. I am trying to run a conditional logistic regression with household fixed effects and linear time trends, but the likelihood does not converge: The output shows a big sequence of "(not concave)". Is it a problem with how my output have been constructed and how conditional logit with fixed effects works?
I hope that some of you can help me with this problem!
Thank you.
Alessandro.
I am trying to estimate the impact of temperatures on air conditioner adoption. I have an unbalanced panel from 2007 to 2022 at the household level. Unfortunately, I cannot show you any output given that I am working with sensitive data, and I have no access to internet when I work on them. My dependent variable is a binary variable = 1 when the family say that they have air conditioning in their dwelling. Now, once the AC variable = 1, it stays 1 for all the remaining years. So it is non-reversible. I am trying to run a conditional logistic regression with household fixed effects and linear time trends, but the likelihood does not converge: The output shows a big sequence of "(not concave)". Is it a problem with how my output have been constructed and how conditional logit with fixed effects works?
I hope that some of you can help me with this problem!
Thank you.
Alessandro.

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