fixed effects are just some more variables, and so all the usual rules
apply. ask yourself: are they pre-treatment? do they represent
confounding variables? if you're imputing missing data, and they are
in your analysis model then you should be sure to include them in the
imputation model too. etc...
Gary
---
http://gking.harvard.edu
On Sun, Apr 25, 2010 at 6:00 PM, Malekovic, Nino
<nino_malekovic at hks11.harvard.edu> wrote:
> Hi everyone,
>
> If we use fixed effects model, we assume that there could be an omitted variable
causing potential bias we cannot estimate. As I understand it that's why we use fixed
effects model.
> Missing data cannot then be imputed, because we cannot assume that it is missing at
random. Otherwise, the assumption behind EM algorithm and fixed effects model would
conflict.
> That is how I understood what Iain said in the last section. Maybe I got it wrong. Do
we just ignore missing data in that case, or is there a procedure that can enable us to
tackle this problem?
>
> Nino Malekovic
> MPA Candidate, Class 2011
> Harvard Kennedy School
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> Today's Topics:
>
> ? 1. Bounding in Amelia (Ashley Anderson)
> ? 2. Bounding errors (Ashley Anderson)
> ? 3. Re: Bounding errors (Gary King)
> ? 4. Memory Limit with R's fixed effects with probit.gee (Gabriel Chan)
> ? 5. Re: Memory Limit with R's fixed effects with probit.gee
> ? ? ?(Gary King)
> ? 6. RD as first stage in 2SLS (Matthew Kraft)
> ? 7. Matching (Han He)
> ? 8. Re: Matching (Gary King)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 25 Apr 2010 12:39:18 -0400
> From: Ashley Anderson <aaanders at fas.harvard.edu>
> Subject: [gov2001] Bounding in Amelia
> To: Class List for Gov 2001/E-2001 <gov2001-l at lists.fas.harvard.edu>
> Message-ID: <C7F9E876.12A7F%aaanders at fas.harvard.edu>
> Content-Type: text/plain; ? ? ? charset="US-ASCII"
>
> Hello All,
>
> I had a question about setting bounds in Amelia: if you wanted the imputed
> numbers to be strictly positive, I know you would set a lower bound to 0,
> but how would you specify the upper bound (there wouldn't be one).
>
> -Ashley Anderson
>
>
>
>
> ------------------------------
>
> Message: 2
> Date: Sun, 25 Apr 2010 13:20:04 -0400
> From: Ashley Anderson <aaanders at fas.harvard.edu>
> Subject: [gov2001] Bounding errors
> To: Class List for Gov 2001/E-2001 <gov2001-l at lists.fas.harvard.edu>
> Message-ID: <C7F9F206.12A82%aaanders at fas.harvard.edu>
> Content-Type: text/plain; charset="us-ascii"
>
> I figured out the first question but now I'm getting an error with my
> bounding matrix. This is what I have:
>
>
> row1 <- c(5,0,100000)
> row2 <- c(6,0,100000)
> row3 <- c(7,0,100000)
> row4 <- c(8,0,100000)
> row5 <- c(9,0,100000)
>
> grr <- matrix(rbind(row1, row2, row3, row4, row5), ncol=3, nrow=5)
>
>
> bds <- grr
>
>
> a.out <- amelia(data, m=5, ts="year", cs="cty", idvars =
c("id", "id2"),
> bounds=bds, max.resample = 100000)
>
>
> I was pretty sure that this was how you set up a bounds matrix (it tells
> amelia that columns 5,6,7,8, and 9 should be bounded from 0 to 100000), but
> I keep getting this error:
>
> Error in matrix(NA, nrow = AMn.ss, ncol = AMp) :
> ?non-numeric matrix extent
>
>
> Does anyone know what I could be doing wrong?
>
> -Ashley Anderson
>