Thank you for the response, Matt.
Polynomial of time = 0 makes sense to me.
Cluster specified as cross-sectional variable makes sense to me, too.
I think it is a good thing that Amelia will not automatically give same imputed value for
each missing cell, for a particular column, within each organization because the relevant
data are missing at level 1 only (not level 2). If it did I think it would negatively bias
within group variance estimates.
Thanks again.
nick myers
-----------------------------------------------------------------------------------------------------------
Nicholas D. Myers, Ph.D.
University of Miami
School of Education
Department of Educational and Psychological Studies
Research, Measurement and Evaluation program
Merrick Building 311E
P.O. Box 248065
Coral Gables, FL 33124-2040
Tel: 305.284.9803
Fax: 305.284.3003
E-mail: nmyers(a)miami.edu
http://www.education.miami.edu/facultyStaff/Faculty_Bio.asp?ID=143
-----------------------------------------------------------------------------------------------------------
________________________________________
From: mblackwell(a)gmail.com [mblackwell(a)gmail.com] On Behalf Of Matt Blackwell
[blackwel(a)fas.harvard.edu]
Sent: Wednesday, June 11, 2008 2:51 PM
To: Myers, Nicholas
Cc: amelia(a)lists.gking.harvard.edu
Subject: Re: [amelia] Nested but not time series
Hi Nick,
In the AmeliaView TSCS dialog, you can set the "polynomials of time"
to 0 and check the "interact with the cross-section" button to run
Amelia with a fixed effect for each organization. You want to make
sure that the variable corresponding to the organization is marked as
the cross-section variable in the main AmeliaView window.
Amelia, however, will not give the same answer for each individual in
the organization. Let's say, for example, the variable you want to
impute is the organization's revenue. Amelia will impute a different
value of the revenue for each individual observation in the
organization. One way to deal with this might be to take the mean
imputed revenue in each organization for each imputed dataset and use
that as the imputed revenue for that organization in that imputed
dataset. There may be smarter ways of handling this sort of logical
constraint, but that might work to get you started.
Good luck,
matt.
On Wed, Jun 11, 2008 at 2:39 PM, Myers, Nicholas <nmyers(a)miami.edu> wrote:
Thank you for the response, Gary.
I've successfully downloaded AmeliaView and I read through the documentation and
What to do About Missing Values in Time Series Cross-Section Data.
My data are not time series in the sense of repeated measures within a subject across
time. My data structure is people (level 1, n = 800) nested within organizations (level 2,
g =90) at one time (cross-sectional). So people nested in the same organization all have
the same value for a particular variable (let's call it cluster).
It's not clear to me how to communicate this to Amelia. My guess is that I need to
make this clear in Step 2 Options (box for Time Series Index and/or box for
Cross-Sectional Index). Can you point me in the right direction?
Thank you.
nick myers
-----------------------------------------------------------------------------------------------------------
Nicholas D. Myers, Ph.D.
University of Miami
School of Education
Department of Educational and Psychological Studies
Research, Measurement and Evaluation program
Merrick Building 311E
P.O. Box 248065
Coral Gables, FL 33124-2040
Tel: 305.284.9803
Fax: 305.284.3003
E-mail: nmyers(a)miami.edu
http://www.education.miami.edu/facultyStaff/Faculty_Bio.asp?ID=143
-----------------------------------------------------------------------------------------------------------
-
Amelia mailing list served by Harvard-MIT Data Center
[Un]Subscribe/View Archive:
http://lists.gking.harvard.edu/?info=amelia
-
Amelia mailing list served by Harvard-MIT Data Center
[Un]Subscribe/View Archive:
http://lists.gking.harvard.edu/?info=amelia