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88 discussions

by Palia

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21 years, 2 months

Re: error G0044

by Gary King

what exactly did you do and what exactly is EzI's response? Gary King On Fri, 21 Feb 2003, Epple Ruedi wrote: > Dear Professor King > I work with EzI an Swiss voting data. I have solved some problems > myself. But now have one I don't understand. With data, which I have > used in the first EzI-step, I can't run a second Ezi2-step. What's the > problem? > Many thanks and best wishes. > Ruedi Epple > > > - EI mailing list served by Harvard-MIT Data Center Subscribe/Unsubscribe: http://lists.hmdc.harvard.edu/?info=ei

21 years, 2 months

VID-Software GmbH +41 (0) 1 932 14 04

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21 years, 3 months

I found the problem with EI/CML program: will not work with Gauss 5

by Paul Sullins

Dear All at EI listserv, I found the problem. Gauss 5.0 imposes restrictions on data conversions that were not present in earlier versions. In order to convert a character string it is necessary (in 5.0, but not before) to prepend certain defining characters, which the module eicml.src does not do. So the EI modules will not work with Gauss 5.0. Thanks all, Paul Sullins ----- Original Message ----- From: Paul Sullins To: ei(a)latte.harvard.edu Sent: Thursday, January 23, 2003 2:18 PM Subject: Problem with EI/CML program Dear All at EI listserv, I have a frustrating problem with EI that I hope someone can help/advise me regarding. I am a sociologist of religion at Catholic University, studying the apportionment of religious adherents by region and denomination. I just bought Gauss LIght 5.0, CML 2.0, and downloaded the latest version of the EI module, but I can't get this set of programs to actually work. Using GAUSS light 5.0, CML 2.0, and EI version 1.8a (possibly; see below), I get the error message error G0071 : Type mismatch After it happened with my data, I used the sample data that come with EI, and copied the GAUSS commands to run it directly from the manual. But I get the same message. Here's a copy of my command and output windows: Commands: » new; » library ei; » clear t x n; » loadvars sample.asc t x n; » dbuf=ei(t,x,n,1,1); Produces output: ----- EI Begins ----- EI Version: 1.63, 2/3/2000 Inputs ok, beginning preliminary estimation... Likelihood estimation... d:\program files\gausslt50\src\eicml.src(103) : error G0071 : Type mismatch (End of output) Because "type mismatch" indicates the program was expecting a numeric when it got a string, or vice versa, I have tried re-defining the matrices. I've also tried creating a Gauss dataset rather than ascii, bypassing loadvars. No change. Is anyone else having this problem? Either A) I'm missing something or B) the EI module doesn't like CML or vice versa. If it's A, can anyone see my error? If it's B, does anyone have a copy of the EI archive that you downloaded before 12/10/2002? Perhaps a previous version of the module works. In fact, if anyone has ANY version of EI that actually works for you, can you send me a copy, to see if it will work with my CML? Note that, although I downloaded the EI archive on 1/13/03 (and again on 1/17/03 just to be sure), and the web site reports that the latest version, posted 12/10/2002, is 1.8a, the banner message in my Gauss run reports version 1.63. I don't know if this means the new version is actually not on the website, or just that the banner message has not been updated. Thank you and bless you for any help you can give. Best wishes, Paul Sullins sullins(a)cua.edu

21 years, 3 months

Problem with EI/CML program

by Paul Sullins

Dear All at EI listserv, I have a frustrating problem with EI that I hope someone can help/advise me regarding. I am a sociologist of religion at Catholic University, studying the apportionment of religious adherents by region and denomination. I just bought Gauss LIght 5.0, CML 2.0, and downloaded the latest version of the EI module, but I can't get this set of programs to actually work. Using GAUSS light 5.0, CML 2.0, and EI version 1.8a (possibly; see below), I get the error message error G0071 : Type mismatch After it happened with my data, I used the sample data that come with EI, and copied the GAUSS commands to run it directly from the manual. But I get the same message. Here's a copy of my command and output windows: Commands: » new; » library ei; » clear t x n; » loadvars sample.asc t x n; » dbuf=ei(t,x,n,1,1); Produces output: ----- EI Begins ----- EI Version: 1.63, 2/3/2000 Inputs ok, beginning preliminary estimation... Likelihood estimation... d:\program files\gausslt50\src\eicml.src(103) : error G0071 : Type mismatch (End of output) Because "type mismatch" indicates the program was expecting a numeric when it got a string, or vice versa, I have tried re-defining the matrices. I've also tried creating a Gauss dataset rather than ascii, bypassing loadvars. No change. Is anyone else having this problem? Either A) I'm missing something or B) the EI module doesn't like CML or vice versa. If it's A, can anyone see my error? If it's B, does anyone have a copy of the EI archive that you downloaded before 12/10/2002? Perhaps a previous version of the module works. In fact, if anyone has ANY version of EI that actually works for you, can you send me a copy, to see if it will work with my CML? Note that, although I downloaded the EI archive on 1/13/03 (and again on 1/17/03 just to be sure), and the web site reports that the latest version, posted 12/10/2002, is 1.8a, the banner message in my Gauss run reports version 1.63. I don't know if this means the new version is actually not on the website, or just that the banner message has not been updated. Thank you and bless you for any help you can give. Best wishes, Paul Sullins sullins(a)cua.edu

21 years, 3 months

Fwd: EZI results

by D. Stephen Voss

21 years, 5 months

Re: EZI results

by Gary King

If you stick to the solely aggregate analysis, you can avoid ecological inference altogether. This won't work (for good reasons) with your reviewers, but here's how it would work: you'd say that %indigenous causes %voting. you'd then be indifferent between (a) the indigenous people voting for the indigenous candidate and (b) and the nonindigenous people who happen to live in areas with lots of indigenous people are the ones voting for the indigenous candidate (controlling for the other variables in your regression). This would be fine, but the different stories here are pretty massive in most applications. So what you might do is to first do your analysis and explicitly say that, since you're not doing ecological inference, you can't distinguish between (a) and (b). And so you would then move to a method of ecological inference to distinguish between the two. Best of luck with your research, Gary : Gary King, King(a)Harvard.Edu http://GKing.Harvard.Edu : : Center for Basic Research Direct (617) 495-2027 : : in the Social Sciences Assistant (617) 495-9271 : : 34 Kirkland Street, Rm. 2 HU-MIT DC (617) 495-4734 : : Harvard U, Cambridge, MA 02138 eFax (928) 832-7022 : I think the way I'd present it if I were you On Wed, 20 Nov 2002, Beck, Scott H. wrote: > Professor King: > > My colleague, Ken Mijeski (a political scientist) and I (sociology) > have been analyzing election data from Ecuador the past few years. This > is aggregate data in that the voting results and other variables are > only available at the level of the county (in Spanish, canton). One > primary issue we have dealt with in our analyses concerns whether > indigenous voters (Indians) in Ecuador more often vote for candidates > sponsored by the indigenous political party. Using the aggregate data, > we ran correlations and regressions and not surprisingly found that in > almost all cases there is a substantial positive correlation between the > %Indigenous in a county and the %Voting for Indigenous Party Candidate. > So, the possibility of the ecological fallacy raises its very ugly head > and journal reviewers are quick to jump on the conclusion that > indigenous voters much more often vote for those candidates (since we > know quite a lot about Ecuador and its politics we don't feel that the > alternative hypothesis, i.e., non-indigenous voters in counties with > higher proportions of indigenous people much more often vote for > indigenous party candidates). So, we have been told to learn and then > use your innovative method of estimating and then inferring the > proportions of indigenous (black) and non-indigenous (white) who vote > for candidate x. Though our aging brains struggled through your book > (despite your clear exegesis) and we have downloaded EZi and used it, we > think, successfully (at least we can understand most of the output). > That output backs up our original conclusion - a higher proportion of > indigenous voters voted for indigenous party candidates than did > non-indigenous voters. > > Our question is this: can we properly use the results of your > method as a verification technique of the hypothesis, and once verified, > go back to our previous line of analysis where we are more interested in > the size of the correlation (standardized beta) between %Indigenous and > %Voting for Indigenous Party candidate, including OLS multiple > regression where we introduce "control variables" to determine whether > the net effect of %Indigenous remains intact? That is, our interest > ultimately is more of a causal analysis at the aggregate level where > competing factors, such as poverty rate and illiteracy rate at the > county level, can be taken into account. > > Your answer to this issue would be greatly appreciated and we thank > you in advance. > > Scott Beck > > - EI mailing list served by Harvard-MIT Data Center Subscribe/Unsubscribe: http://lists.hmdc.harvard.edu/?info=ei

21 years, 5 months

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21 years, 6 months

Re: Ezi report

by Gary King

_EisFac=-2 is not normally harmful, so the first message is ok. but what do you mean that they didn't work? What was the error message? Gary King : Gary King, King(a)Harvard.Edu http://GKing.Harvard.Edu : : Center for Basic Research Direct (617) 495-2027 : : in the Social Sciences Assistant (617) 495-9271 : : 34 Kirkland Street, Rm. 2 HU-MIT DC (617) 495-4734 : : Harvard U, Cambridge, MA 02138 eFax (928) 832-7022 : On Sun, 10 Nov 2002, Liu wrote: > Hi Dr. King, > > My name is Baodong Liu, and I work at the University of Wisconsin-Oshkosh > as an assistant professor of political science. I have used your Ezi for > more than four years, with four publications by using your method of > ecological inference. I would like to thank you for your continuing effort > in furthering research by using aggregate data. > > I also would also like to ask you a question about the operation of Ezi. I > was using Memphis 1991 mayoral election data today and ran Ezi on my Window > 2000 Profession platform. The file has 245 observations (precincts). I was > able to run Ei1, but whenever I tried Ei2, the screen bombed and > disappeared. I tried to read through your manual and the book to find a > solution, but I failed except that I saw the following message on the > screen before the program was stopped: > > "... > Importance sampling failed! Using maximum posterior estimates > <equivalent to _EisFac=-2>. > Simulating fundamental variability..." > > After I saw this, I went to configuration function and changed the _EisFac > to -2, but it didn't work. As a matter of fact, I tried -1, 0, and 2. None > of them worked. > > Is there any solution to this? If you want, I can send you the datafile. > > Thank you for your time. > > Sincerely, > > Baodong Liu > - EI mailing list served by Harvard-MIT Data Center Subscribe/Unsubscribe: http://lists.hmdc.harvard.edu/?info=ei

21 years, 6 months

priors

by Linda Moore

Further to my previous post re priors, I wonder if any one has further advice on setting priors, specifically the priors on phi. King pp.136-139/_EdoML etc I have used reported values for phi from a default run, but have not found that this improves my estimates. I am also uncertain as to how _Erho and _Esigma differ from the values for variance and rho in _EdoML. Any advice or tips would be much appreciated. Linda Linda Moore Graduate Student University of Canterbury Christchurch New Zealand lmm72(a)student.canterbury.ac.nz - EI mailing list served by Harvard-MIT Data Center Subscribe/Unsubscribe: http://lists.hmdc.harvard.edu/?info=ei

21 years, 6 months

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