Gov2001 May 2003

gov2001@lists.gking.harvard.edu

32 participants
64 discussions

[gov2001-l] threshholds for *explanatory* categorical variables

by alnelson＠fas.harvard.edu

We are modelling the effect of the number of ballot propositions on voter turnout. Scholars of ballot propositions have traditionally used OLS models to estimate this effect, but this seems implausible. It seems likely that there will be diminishing returns (a/k/a "voter fatigue"), so that the model should not be linear. For instance, the difference in turnout for 3 ballot propositions vs. 0 ballot propositions is probably not equal to the difference in turnout for 6 ballot propositions vs. 3 ballot propositions. How can we estimate these threshholds, or effectly model this nonlinearly? I recognize this is a problem of estimating threshholds for an ordered categorical variable, but I am not sure how to approach it because the categorical variable at issue is our *explanatory* variable, not our dependent variable. Any suggestions? Thanks, Anna

21 years

[gov2001-l] Amelia, relogit, and clarify

by tburch＠fas.harvard.edu

This is a multi-part message in MIME format. ------=_NextPart_000_000D_01C31232.7080CD60 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Hi Everybody I have five imputed data sets that i got from running Amelia. Relogit = works fine, so does clarify and Amelia did too. I am having difficulty = running clarify on the logit command in Stata and also would like to = know how I can use the imputed data sets with relogit, since relogit is = not supported by clarify (according to the message I got from stata.) = The problem seems to happen when i use the mi(filename filename . . . ) = part after estsimp logit y x1 x2 x3 . . . . When i put in the mi() part = I get a message "c ambiguous abbreviation." Has anybody run into this = yet? T ------=_NextPart_000_000D_01C31232.7080CD60 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML><HEAD> <META http-equiv=3DContent-Type content=3D"text/html; = charset=3Diso-8859-1"> <META content=3D"MSHTML 6.00.2719.2200" name=3DGENERATOR> <STYLE></STYLE> </HEAD> <BODY bgColor=3D#ffffff> <DIV><FONT face=3DArial size=3D2>Hi Everybody</FONT></DIV> <DIV><FONT face=3DArial size=3D2></FONT> </DIV> <DIV><FONT face=3DArial size=3D2>I have five imputed data sets that i = got from=20 running Amelia.  Relogit works fine, so does clarify and Amelia did = too.  I am having difficulty running clarify on the logit command = in Stata=20 and also would like to know how I can use the imputed data sets with = relogit,=20 since relogit is not supported by clarify (according to the message I = got from=20 stata.)  The problem seems to happen when i use the mi(filename = filename .=20 . . ) part after estsimp logit y x1 x2 x3 . . . . When i put in the mi() = part I=20 get a message "c ambiguous abbreviation."  Has anybody run into = this=20 yet?</FONT></DIV> <DIV><FONT face=3DArial size=3D2></FONT> </DIV> <DIV><FONT face=3DArial size=3D2>T</FONT></DIV></BODY></HTML> ------=_NextPart_000_000D_01C31232.7080CD60--

21 years

[gov2001-l] Relogit and Clarify

by tburch＠fas.harvard.edu

This is a multi-part message in MIME format. ------=_NextPart_000_0020_01C31238.0139A750 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Okay, I got clarify to run on just plain logit using Amelia. But is = there some way to use amelia data sets with relogit? Traci ------=_NextPart_000_0020_01C31238.0139A750 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML><HEAD> <META http-equiv=3DContent-Type content=3D"text/html; = charset=3Diso-8859-1"> <META content=3D"MSHTML 6.00.2719.2200" name=3DGENERATOR> <STYLE></STYLE> </HEAD> <BODY bgColor=3D#ffffff> <DIV><FONT face=3DArial size=3D2>Okay, I got clarify to run on just = plain logit=20 using Amelia.  But is there some way to use amelia data sets with=20 relogit?</FONT></DIV> <DIV><FONT face=3DArial size=3D2><BR>Traci</FONT></DIV></BODY></HTML> ------=_NextPart_000_0020_01C31238.0139A750--

21 years

[gov2001-l] R intro & office hours

by kimai＠fas.harvard.edu

For those of you who haven't used R before, I uploaded a brief introduction to R which is written by Dan Ho for another class. It's under ``Handout'' on the course website. A reminder that today I will hold an extra office hour right after the lecture in my office at CBRSS. Tomorrow, I will have a regular office hour from 4 to 6pm. Kosuke

21 years

[gov2001-l] ICPSR data

by olau＠fas.harvard.edu

Hi, guys. Does anyone know how to download ICPSR datasets? I need one for another class paper... Thanks, Olivia

21 years

[gov2001-l] Our Abstract

by cdmoore＠fas.harvard.edu

Here's our abstract. Any comments are greatly appreciated. Best, Dan and Colin Crowded Cities, Crowded Streets: How Population Density Affects Local Participation Dan Hopkins and Colin Moore Drawing on a survey of 29,000 Americans from communities throughout the United States, this paper expands on J. Eric Oliver's (2000) argument that living in a larger city decreases the probability that one will engage in a variety of forms of local political participation. By shifting the causal emphasis from a city¡¯s size to its population density, we illustrate that the effects of an individual¡¯s environment depend crucially on the kind of participation in question. As population density increases, an individual is 2.7% less likely to attend a public meeting, but 2.0% more likely to participate in a demonstration, boycott, or protest.

21 years

[gov2001-l] Robust standard errors for weighted regression

by brightjo＠gse.harvard.edu

Hi, I'm attempting to compute the robust standard errors for a weighted linear regression. HCCM() only takes an un-weighted regression model. So, I'm trying to compute the robust standard errors "directly". I'm comparing my results to STATA, which computes the HC1 version of the HCCM automatically for weighted linear regression. The following is my equation: HC1 = N/(N-K)*inv(X'X)*(X'diag[e_i^2]X)*inv(X'X) However, I'm not sure how to include the "weighted" part into the calculation as there is nothing in the above equation that holds the information about the weights of each observation. I tried multiplying X by w, the vector of weights. This takes the standard errors closer to what STATA produces, but I'm not sure if this is valid. So, how would I incorporate the 'weighting' part of regression into the heteroscedastic consistent covariance matrix? Thanks, John.

21 years

[gov2001-l] how to install R packages on ice

by kimai＠fas.harvard.edu

Here is the instruction about how to install R packages on ice matchines. Kosuke 1. Create a library directory in your home directory by the following commands. ice% cd ice% mkdir .R ice% mkdir .R/library 2. Add the following line to .cshrc file. This defines the local library directory you just created. setenv R_LIBS ~/.R/library 3. Create links to all library files that already exist on ice servers by the following command. ice% ln -s /usr/lib/R/library/* .R/library/ 4. Logout from your account or type the following command to make this change effective. ice% source .cshrc Now, you can install additional R packages in your ice account. For example, if you want to install the package called "car" at CRAN. Do the following. 1. Start R. 2. install.packages("car") If the pakcages are not at CRAN, you need to download it to your local direcotry and then type at the command prompt R INSTALL packagename

21 years

[gov2001-l] Mail Delivery failure (gov2001-l@fas.harvard.edu)

by caroline.quest＠kcl.ac.uk

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21 years

[gov2001-l] Status (gov2001-l@fas.harvard.edu)

by chrisa＠valvesoftware.com

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------=_NextPart_000_0016----=_NextPart_000_0016--

21 years

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Gov2001 May 2003