Jim
  • Member for 9 years, 10 months
  • Last seen more than 4 years ago
2SLS with endogenous interaction term
5 votes

High level, if you have a valid instrument for endog, then the interaction term between your instrument for endog and link will be a valid instrument for the interaction. So no problems there. I ...

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What is statistical Bias?
2 votes

Biasedness is a property of a statistical method you're using to discover the 'true value' of a parameter (normally the relationship between two variables). If the method is 'biased', then it will not ...

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Constructing multilevel regression design matrix
2 votes

Not knowing about the type of data you are using, but having been stuck in similar situations in the past: 1) If your groups are sub-members (as would be mesh blocks in a census), then it may be ...

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Good algorithm for processing positional estimates
2 votes

Sounds like a fun problem you're working on. I guess a question is whether the sensors are making errors serially, or whether the errors (especially big ones) are independently distributed. Is it ...

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glmer vs lmer, what is best for a binomial outcome?
1 votes

For 2, yes, you should use glmer or glm for binomial outcomes. If you have a little more time to wait for the model to fit---and especially if you are interested in inference for your random effects---...

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Program Impulse Response Functions for VAR
1 votes

I just came across this question. Have you tried the irf() function in the vars package for R? I'm pretty sure that's what you're asking for.

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Missing value treatment
1 votes

Peter's response highlights the main issues with missing values. If you are looking for a thorough non-technical discussion, could I point you towards the chapter in Gelman and Hill (pdf). I assume ...

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How to rank film production companies based on weighted ranks?
1 votes

Cool question! What if you created a weighted ranking for each of the production studios using the same formula IMDB use for calculating film rankings? Then you could just sum the components across ...

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Ordered logit with (too many?) categorical independent variables
0 votes

After a lot procrastinating, I ended up solving this issue. I thought I'd post my solution so nobody else makes the same (stupid!) error. My issue wasn't categorical variables at all. The issue was ...

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Strategy to deal with rare events logistic regression
-1 votes

Great question. To my mind, the issue is whether you're trying to do inference (are you interested in what your coefficients are telling you?) or prediction. If the latter, then you could borrow ...

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