Clarify

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166 discussions

by Alessandro Freire

Dear all, I am working with interactive variables in Clarify and I would like to know if I can create macros in order to simulate quantities of interest without setting values by hand. My model contains three continuous by continuous interaction terms (X1X2, X1X3 and X1X4). The first variable, X1, has an interval that goes from 0 up to 10, the other three variables go from 1 up to 5. Is there a way to make simulations with all the possible combinations of values for the three interactions by using macros? If so, would you have any sugestions for such a macro? This is the first time that I work with Clarify, so please excuse me if this is a basic question. Any help would be greatly appreciated. Best regards, Alessandro Freire

12 years, 1 month

simqi, tfunc(exp)

by Renzo Carriero

Dear Clarify users, I have a question on a matter I have already touched upon in a previous message (October 2011). I didn't receive any answer so I am asking again trying to be more clear. My point is about the calculation of expected values from a linear regression of a logged variable. -Simqi- with the option -tfunc(exp)- should yeald results transformed back to the original (unlogged) scale. Stata's official command -adjust- with the option -exp- should do the same. However the two do not coincide. What Stata appears to do is the simple exponentiation of the expected value: exp[E(lny)]. This yealds the expected geometric mean of the unlogged variable (geometric mean is always less than arithmetic mean and more similar to the median for skewed variables). -Simqi, tfunc(exp)- yealds results flagged E[exp(lny)]. Actually the latter always display higher values than the former, as if they were more similar to expected arithmetic mean. So my question is: how does -simqi- exactly compute expected values when I ask for the -tfunc(exp)- option? Many thanks Renzo Carriero

12 years, 3 months

tfunc(exp)

by Renzo Carriero

Dear Clarify users, I have a question about the tfunc(exp) option of simqi command. I can't understand how this option exactly compute exponentiated expected value. My depvar is a log ratio, say y=ln(a/b). My linear regression model contains a 4-category nominal variable (indicated by 3 dummies) plus covariates. When I compute mean predicted values on the log scale, results yielded by simqi coincide with those yielded by Stata's command adjust. On the contrary, when I ask for expected values in the original scale, that is exp(y), they markedly differ. It seems that Stata (adjust command with the "exp" option) exponentiates the mean expected value, such as exp[E(y|x)], while simqi does not. So what is exactly the way in which simqi transforms expected values in the original scale? To help, I add below a simplified example of what I mean using Stata's auto dataset Many thanks Renzo -- Renzo Carriero Dipartimento di Scienze Sociali via S. Ottavio 50 10124 Torino - Italy +390116702658 (office) +393898160069 (mobile) +390116702612 (fax) sysuse auto.dta g lny=ln(price/mpg)/*generate a log var similar to mine*/ xtile x=length, nquantile(4) /*generate a 4 category variable from length variable" tab x, gen(x)/*generate 4 dummies*/ reg lny x2-x4/*x1 is omitted as reference category*/ Source | SS df MS Number of obs = 74 -------------+------------------------------ F( 3, 70) = 18,48 Model | 10,7554461 3 3,58514872 Prob> F = 0,0000 Residual | 13,580584 70 ,194008343 R-squared = 0,4420 -------------+------------------------------ Adj R-squared = 0,4180 Total | 24,3360302 73 ,333370277 Root MSE = ,44046 ------------------------------------------------------------------------------ lny | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- x2 | ,576453 ,1461643 3,94 0,000 ,2849374 ,8679685 x3 | ,635685 ,1376187 4,62 0,000 ,3612132 ,9101569 x4 | 1,050355 ,1437037 7,31 0,000 ,7637466 1,336962 _cons | 5,078354 ,0961171 52,84 0,000 4,886655 5,270054 ------------------------------------------------------------------------------ adjust x2=0 x3=0 x4=0 /*compute expected value for omitted category 1*/ Dependent variable: lny Command: regress Covariates set to value: x2 = 0, x3 = 0, x4 = 0 ------------------------------------------------------------------------------------------------------ ---------------------- All | xb ----------+----------- | 5,07835 ---------------------- Key: xb = Linear Prediction adjust x2=0 x3=0 x4=0 , exp /*compute expected value for category 1 in the original scale (price/mpg)*/ Dependent variable: lny Command: regress Covariates set to value: x2 = 0, x3 = 0, x4 = 0 ------------------------------------------------------------------------------------------------------ ---------------------- All | exp(xb) ----------+----------- | 160,51 ---------------------- Key: exp(xb) = exp(xb) estsimp reg lny x2-x4/*replicate analysis with estsimp*/ setx 0 /*set x1=1*/ simqi *this output omitted, it is roughly equal to that of adjust without exp option simqi, tfunc(exp) Quantity of Interest | Mean Std. Err. [95% Conf. Interval] ---------------------------+-------------------------------------------------- E[exp(lny)] | 177,6523 17,95269 145,2497 215,657 -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=clarify

12 years, 7 months

Install problem w/Clarify

by Richard Brandon

There was a migration issue with clarify while upgrading "gking.harvard.edu", the files have now been restored and will work as expected. Thanks, -Richard Brandon rbrandon at iq.harvard.edu ------------------------------------------------------------------------ Hello, I'm having trouble installing Clarify. I have Stata10/IC installed on a Windows 7. When I entered the command: "net from http://gking.harvard.edu/clarify/" <http://gking.harvard.edu/clarify/%22>;, I get the following error message: filehttp://gking.harvard.edu/clarify/stata.toc not found http://gking.harvard.edu/clarify/ either 1) is not a valid URL, or 2) could not be contacted, or 3) is not a Stata download site (has no stata.toc file). r(601); I tried downloading the .zip and attempting the comparable command (for the local directory) but had the same problem. Any advice? Thanks! -Thomas -- Thomas J. Leeper PhD Candidate Coordinator, Undergraduate Research Participation Pool Department of Political Science Northwestern University leeper@xxxxxxxxxxxxxxxxxx -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive:http://lists.gking.harvard.edu/?info=clarify

13 years, 3 months

Install problem w/Clarify

by Thomas J. Leeper

Hello, I'm having trouble installing Clarify. I have Stata10/IC installed on a Windows 7. When I entered the command: "net from http://gking.harvard.edu/clarify/", I get the following error message: file http://gking.harvard.edu/clarify/stata.toc not found http://gking.harvard.edu/clarify/ either 1) is not a valid URL, or 2) could not be contacted, or 3) is not a Stata download site (has no stata.toc file). r(601); I tried downloading the .zip and attempting the comparable command (for the local directory) but had the same problem. Any advice? Thanks! -Thomas -- Thomas J. Leeper PhD Candidate Coordinator, Undergraduate Research Participation Pool Department of Political Science Northwestern University leeper(a)u.northwestern.edu -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=clarify

13 years, 3 months

instructions to install -clarify-

by Dan Blanchette

On your webpage: http://gking.harvard.edu/clarify/ and: http://gking.harvard.edu/publications/clarify-software-interpreting-and-pre… it states: To install Clarify, type "net from http://gking.harvard.edu/clarify" at the Stata command line. This does not work. Stata gives this error message: file http://gking.harvard.edu/clarify/stata.toc not found http://gking.harvard.edu/clarify/ either 1) is not a valid URL, or 2) could not be contacted, or 3) is not a Stata download site (has no stata.toc file). r(601); Installing Stata programs from zipfiles is a fairly painful experience for average Stata users since they tend not to know which directory ado and hlp files need to go in. So being able to install Clarify via Stata's -net install- command would be much better. Hope this helps, Dan Blanchette Research Associate Center for Entrepreneurship and Innovation Duke University's Fuqua School of Business dan.blanchette(a)duke.edu ---------- Forwarded message ---------- Date: Thu, 23 Dec 2010 12:07:37 -0500 From: Gary King <king(a)harvard.edu> To: Dan Blanchette <dan.blanchette(a)duke.edu> Subject: Re: [Scholars at Harvard] instructions to install -clarify- Thanks for your note; can you send exactly what you did to the "Clarify Listserv" <clarify(a)lists.gking.harvard.edu<mailto:clarify@lists.gking.harvard.edu>>, and we'll figure it out. Gary -- Gary King - Albert J. Weatherhead III University Professor - Director, IQSS - Harvard University GKing.Harvard.edu<http://gking.harvard.edu/> - King(a)Harvard.edu<mailto:King@Harvard.edu> - @kinggary<http://twitter.com/kinggary> - 617-500-7570 - Asst 495-9271 - Fax 812-8581 On Thu, Dec 23, 2010 at 12:04 PM, <Dan.Blanchette(a)duke.edu<mailto:Dan.Blanchette@duke.edu>> wrote: Gary King, Anonymous has sent you a message via your contact form (http://gking.harvard.edu/contact_owner) at Scholars at Harvard. If you don't want to receive such e-mails, you can change your settings at http://gking.harvard.edu/cp/settings/site. Message: Hello Gary, I just received an e-mail from a user of -intgph- (I am a co-author of it)...and I assume you know -intgph- uses the -clarify- commands. The -intgph- user reported that he was not so easily able to install -clarify-. I noticed on your webpage that you suggest using the Stata command: . net from http://gking.harvard.edu/clarify This does not work. I hope this feedback helps, Dan Blanchette -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=clarify

13 years, 4 months

Using confidence intervals of predicted scores to GRAPH results

by James Laurence

Hi there, I was wondering if you might be able to help me with a query. I am using the STATA program CLARIFY (Michael Tomz, Jason Wittenberg, and Gary King (2001). CLARIFY: Software for Interpreting and Presenting Statistical Results. Version 2.0 Cambridge, MA: Harvard University, June 1. http://gking.harvard.edu) I'm using it to get a set of predicted scores from an OLOGIT model I've been running. So, I run the model. Then... setx mean setx div 0.1 simqi ...this gives me a set of predicted scores for each category of my OLOGIT dependent variable: Quantity of Interest | Mean Std. Err. [95% Conf. Interval] ---------------------------+-------------------------------------------------- Pr(newsre~t=1) | .025927 .0027974 .0209661 .0317577 Pr(newsre~t=2) | .1168595 .0059575 .1055424 .128563 Pr(newsre~t=3) | .6739712 .0090134 .6563168 .6909184 Pr(newsre~t=4) | .1832423 .0074309 .1699783 .1987786 I want to create a graph in excel using the top two categories combined: so 0.674 + 0.183 = this gives me a predicted score of 0.86 Here's my question. I also want to add CONFIDENCE INTERVALS to this value using the C.I.s provided by CLARIFY. Do I simply add the C.I.'s together for the top two categories as I did with the predicted scores? e.g. the C.I.s for this predicted score would be min. 0.656 + 0.169 and the max. would be 0.691 + 0.199? So, the C.I.s of my predicted score of 0.86 (minimum 0.825) and (maximum 0.888)? Is this correct? Thanks in advance James -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=clarify

13 years, 8 months

Direct, indirect and total effects using CLARIFY

by Thomas Didier

Dear Clarify listers, I have a model including indirect effects: A. y1=f(x1, x2, y2, y3) B. y2=f(x1, x2) C. y3=f(x1, x2) I am using the CLARIFY plugin in Stata to predict the effect of x1 on y1. Clarify is very useful to predict the outcome of each equation individually with the simqi command, but as far as I understand it this command does not assess the role of indirect effects. Can Clarify make a prediction considering the individual direct effect of x1 on y1 as well as the indirect effect of x1 on y1 through y2 and y3? Can it also calculate the total effect of x1 on y1? Any help in this regard would be greatly appreciated. Best regards, Thomas McGill University Thomas.Didier(a)mail.mcgill.ca<mailto:Thomas.Didier@mail.mcgill.ca> -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=clarify

14 years

weighted ologit with CLARIFY?

by Melissa Michelson

I was recommended to this list to help solve a problem I'm having using CLARIFY. I've got a dataset that includes an individual weight (wt_nation) that allows the data to be considered nationally representative. So, when I run ologit for the model I include [iw=wt_nation] at the end of the list of commands. However, I don't seem to be able to get CLARIFY to work unless I eliminate this part of the initial command. I see from the help files that there seems to be a way to do this, but I'm having trouble deciphering exactly what I need to do. If anyone has done this before or has suggestions I would really appreciate hearing them. thanks, Melissa ********************************************* Melissa R. Michelson Visiting Fellow, Stanford Center for the Comparative Study of Race and Ethnicity (CCSRE) 650.888.4810

14 years, 7 months

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14 years, 8 months

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