Amelia September 2012

amelia@lists.gking.harvard.edu

9 participants
7 discussions

by Patrick Lam

Is there a way to bound variables via relationships with other variables in the dataset when multiply imputing with Amelia? For example, if we have a household income variable and a household savings variable (both with some missingness) in our dataset, is there a way to specify that savings must be less than income for each observation in the imputed datasets? Priors and logical bounds currently in Amelia don't seem like they are set up to do this exactly. Thanks! -- Patrick Lam Department of Government and Institute for Quantitative Social Science, Harvard University http://www.people.fas.harvard.edu/~plam

11 years, 7 months

tscsPlot Error: the cross-section unit is not in the data

by Isaac Petersen

I am trying to plot the the observed and imputed values (with confidence intervals) in a time series cross sectional data set, using tscsPlot. Here is my imputation command: EXT_impute <- amelia(imputeVars, m=20, cs="tcid", ts="age", intercs=TRUE, polytime=1) The imputation runs fine, and the dataset includes the cs and ts variables in the arguments (corresponding to the first and second variables, 'tcid' and 'age', respectively): > EXT_impute$arguments$cs [1] 1 > EXT_impute$arguments$ts [1] 2 However, when I run the tscsPlot command, I receive the following error (changing "tcid" to 1 does not resolve the error): > tscsPlot(EXT_impute, cs="tcid", var="extPOM") Error in tscsPlot(EXT_impute, cs = "tcid", var = "extPOM") : the cross-section unit is not in the data Why is the tscsPlot not reading the cs unit that I specified in the imputation command? Any help would be greatly appreciated! Thanks in advance.

11 years, 7 months

ERROR: task 1 failed: error code 1 from Lapack routine dgesdd

by Philippe Sulger

Dear Amelia users We are running impuations. In the model we are currently running we intentionally avoid to use ordinal-specifications. We have some specifications for nominal variables. We have successfully done multiple imputations with the same dataset specifying many ordinal variables and some more nominal variables. However, now we are running into the problem that for some reason we get for many single-imputation runs the error mentioned in the header of this email. Some runs seem to work fine (up to now). From https://lists.gking.harvard.edu/pipermail/amelia/2011-February/000547.html I see that this problem might be related to the specification of the nominals and collinearity among them in their "decomposed" nature. Note that we have "task 1 failed" and not "La.svd(x, nu, nv)" (followed by "error code 1..."). If this is still related to near-singularity problems, I have difficulties to understand why this happens now in a model where we have no ordinals and fewer nominals. Do you have a suggestion? Best, Philippe -- =============================================================== Philippe Sulger Visiting Scholar Institute of Criminology Sidgwick Avenue University of Cambridge CB3 9DA Cambridge, UK =============================================================== Email: philippe.sulger(a)econ.uzh.ch ps596(a)cam.ac.uk Web: http://www.econ.uzh.ch/faculty/sulger.html http://www.crim.cam.ac.uk/people/visitors/philippe_sulger ===============================================================

11 years, 7 months

items for inclusion in the Amelia imputation model

by Andrew Stokes

Dear Listserve, I'm not sure whether to include features of survey design (clustering, stratification, sampling weights) and features of survival analysis (follow-up times and the failure indicator) in the imputation model. With regard to features of survey design, the answer seems to be yes, based on the information in Footnote 18 in King et al. (APSR 2001). However, the footnote only addresses how to handle strata (using dummies) and I've not seen this mentioned elsewhere. Also, I have a quadratic transformation of a variable in my analysis model as well as an interaction between two variables. The variables underlying the quadratic transformation and interaction need to be imputed. Is it correct that the quadratic and interaction terms should be in the imputation model also? Thanks very much for your help. Andrew Upenn

11 years, 7 months

Which political science fields commonly use multiple imputation

by Nicole Janz

Dear all, in my dissertation on FDI and human rights, which is situated in IPE and comparative human rights, I'm arguing that many political science fields already commonly apply multiple imputation methods. Comparative human rights literature, and the literature on globalization and human rights are still using 'list wise delete.' From your experience, in which other fields in Political Science is multiple imputation already well accepted and commonly used? Is it commonly used in (some fields in) Economics? If anyone can point me to some literature or review articles on that, or just 'name' some fields, that would be great. Thank you very much in advance! Best, Nicole Nicole Janz Doctoral Researcher University of Cambridge Politics and International Studies www.nicolejanz.de | nj248(a)cam.ac.uk | +44 (0) 7905 70 1 69 4 Skype: nicole.janz

11 years, 8 months

AmeliaView for Windows Bug

by Andrew Stokes

Dear Amelia Mailing List, There appears to be a bug in AmeliaView for Windows. I have Windows 7 professional 64-bit. I have R 2.15.1. I successfully installed the program to my desktop but I'm not able to open the software. A DOS prompt appears but then is gone in a flash and no session opens. Thanks in advance for your advice! Andrew

11 years, 8 months

Auxiliary variables: nominal/ordinal

by Philippe Sulger

Dear Amelia-Users I run imputations with some auxiliary variables that are nominal or ordinal. Do I have to classify them as ordinal or nominal for the imputation, or is it sufficient only to classify the variables of interest to be be nominal or ordinal? In other words: does it affect the quality of imputation in any sense if I don't classify them? Thank you for your efforts. Best, Philippe -- =============================================================== Philippe Sulger Visiting Scholar Institute of Criminology Sidgwick Avenue University of Cambridge CB3 9DA Cambridge, UK =============================================================== Email: philippe.sulger(a)econ.uzh.ch ps596(a)cam.ac.uk Web: http://www.econ.uzh.ch/faculty/sulger.html http://www.crim.cam.ac.uk/people/visitors/philippe_sulger ===============================================================

11 years, 8 months

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Amelia September 2012