for 2.4, do we need to give 100 times 4 beta coefficients and sds? And if this is the case, is there an easy way to do this--meaning going from R to latex? Because, otherwise, it seems like it might be really tedious. On Mon, Feb 9, 2009 at 11:28 AM, Lai, Ronald <rolai at hbs.edu> wrote: _______________________________________________ gov2001-l mailing list gov2001-l at lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l

Further clarification on 2.4: For each regression you run, you will have 1 set of coefficients. Each set will include betas for x1, x2, and x3 and one sigma^2. We want the mean and sd for each coefficient over all regressions (e.g. the mean of beta_x1 calculated using the beta_x1s from the 100 regressions). Miya On Mon, Feb 9, 2009 at 4:49 PM, Miya Woolfalk <woolfalk at fas.harvard.edu>wrote: -- Miya Woolfalk Ph.D. Student Harvard University Government and Social Policy _______________________________________________ gov2001-l mailing list gov2001-l at lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l

In question 2.2, we want you to report the betas for x1, x2 and x3 and sigma squared (variance of the regression) In question 2.4, I misspoke. For each regression you run, you will have 1 set of coefficients. Each set will include betas for the intercept, x1, x2, and x3 and one sigma^2. We want you to report the mean and sd for each beta coefficient over all regressions (e.g. the mean of beta_x1 calculated using the beta_x1s from the 100 regressions). On Mon, Feb 9, 2009 at 5:12 PM, sparsha saha <sparshahoneysaha at gmail.com even more clarification, so we only have one sigma squared? So pretty much the variance of the regression (or the variance of the residuals) right? I thought you wanted the variance (or standard error squared) of each beta coefficient estimate... On Mon, Feb 9, 2009 at 5:09 PM, Miya Woolfalk <woolfalk at fas.harvard.edu Further clarification on 2.4: For each regression you run, you will have 1 set of coefficients. Each set will include betas for x1, x2, and x3 and one sigma^2. We want the mean and sd for each coefficient over all regressions (e.g. the mean of beta_x1 calculated using the beta_x1s from the 100 regressions). Miya On Mon, Feb 9, 2009 at 4:49 PM, Miya Woolfalk <woolfalk at fas.harvard.edu Clarification on 2.4: We want you to run the regression in 2.2 using each of the 100 data sets. This will give you 100 sets of estimates. Report the mean and the sd of each estimate over these 100 regressions. Miya On Mon, Feb 9, 2009 at 4:14 PM, sparsha saha <sparshahoneysaha at gmail.com for 2.4, do we need to give 100 times 4 beta coefficients and sds? And if this is the case, is there an easy way to do this--meaning going from R to latex? Because, otherwise, it seems like it might be really tedious. On Mon, Feb 9, 2009 at 11:28 AM, Lai, Ronald <rolai at hbs.edu> wrote: All, Here is a suggestion since I am sure many of us in the course are looking for co-authors & study groups (I fit into both camps). Is it possible for those that are interested in these pursuits to meet soon after class, right outside of the classroom? Best, Ron Lai From: gov2001-l-bounces at lists.fas.harvard.edu [gov2001-l-bounces at lists.fas.harvard.edu ] On Behalf Of John Polley [jpolley at jd10.law.harvard.edu] Sent: Monday, February 09, 2009 11:02 AM To: gov2001-l at lists.fas.harvard.edu Subject: [gov2001-l] coauthor Hi everyone -- I am also looking for a coauthor for Gov 2001. I know some of you from Gov 2000; for everyone else, I am a second-year student in the Law School (pursuing an academic career in law), and a MSc graduate of the london school of economics in International Political Economy (IR dept), where I focused on international trade. I'd be interested in covering IPE topics or topics touching on issues of law, but I am certainly open to new areas as well. best, John Polley jpolley at jd10.law.harvard.edu _______________________________________________ gov2001-l mailing list gov2001-l at lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l _______________________________________________ gov2001-l mailing list gov2001-l at lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l -- Miya Woolfalk Ph.D. Student Harvard University Government and Social Policy -- Miya Woolfalk Ph.D. Student Harvard University Government and Social Policy _______________________________________________ gov2001-l mailing list gov2001-l at lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l _______________________________________________ gov2001-l mailing list gov2001-l at lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l -- Miya Woolfalk Ph.D. Student Harvard University Government and Social Policy _______________________________________________ gov2001-l mailing list gov2001-l at lists.fas.harvard.edu http://lists.fas.harvard.edu/mailman/listinfo/gov2001-l