Amelia January 2012

amelia@lists.gking.harvard.edu

2 participants
2 discussions

Re: [amelia] What to do when (the number of variables) > (the number of observations)

by Ben Highton

Hi Dan, Thanks for your response. In this case, though, I don't think the solution will work because the I don't have repeated measurements on the same variables through time. The data is fundamentally cross-sectional, not time-series cross-sectional. Best, Ben On Wed, Jan 25, 2012 at 11:51 AM, Dan Matisoff <dmatisof(a)umail.iu.edu> wrote: > You can longitudinalize the data... so for each year, you'll get 51 more observations (which will also help generate improved imputations) > > > On Jan 25, 2012, at 2:30 PM, Ben Highton wrote: > > Hi fellow Amelia users, > I have a dataset with 51 observations (one for each American state + > the District of Columbia) and nearly 150 variables. Is there a way to > do imputations when variables>observations? (One of my analysis goals > is to factor analyze the variables to attempt and identify what I > believe to be the 2-4 dimensions in the data.) > > Because I primarily use Stata, I am using AmeliaView. An initial > attempt to impute missing values produced the following error: > "Amelia Error Code: 34 The number of observations in too low to > estimate the number of parameters. You can either remove some > variables, reduce the order of the time polynomial, or increase the > empirical prior." > > If anyone has advice for me, I'd appreciate it. Thanks. > Sincerely, > Ben Highton > -- > Amelia mailing list served by HUIT > [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia > More info about Amelia: http://gking.harvard.edu/amelia > Amelia mailing list > Amelia(a)lists.gking.harvard.edu > https://lists.gking.harvard.edu/mailman/listinfo/amelia >

12 years, 2 months

What to do when (the number of variables) > (the number of observations)

by Ben Highton

Hi fellow Amelia users, I have a dataset with 51 observations (one for each American state + the District of Columbia) and nearly 150 variables. Is there a way to do imputations when variables>observations? (One of my analysis goals is to factor analyze the variables to attempt and identify what I believe to be the 2-4 dimensions in the data.) Because I primarily use Stata, I am using AmeliaView. An initial attempt to impute missing values produced the following error: "Amelia Error Code: 34 The number of observations in too low to estimate the number of parameters. You can either remove some variables, reduce the order of the time polynomial, or increase the empirical prior." If anyone has advice for me, I'd appreciate it. Thanks. Sincerely, Ben Highton

12 years, 2 months

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Amelia January 2012