Verardi V. and Croux C., "Robust Regression in Stata," Stata Journal, StataCorp LP, vol. 9, no. 3, pp. 439 - 453, 2009.Verardi V, Croux C. Robust regression in stata. The Stata Journal. 2009;3:439453.Verardi, V., Croux, C., 2009. Robust regression in Stata. The Stata ...
本人农学专业,写论文的时候主编要求做robust nonlinear regression,有因变量(y)和一个自变量(x),两者为指数关系(y=a*exp(b*x)),但是存在我不确定的outliers,我也不好直接按异常值排除,想对它做稳健回归,减小outliers的影响,做完依然是指数形式,但是不知道在stata中怎么实现? 本人这方面白纸一张,请数学大神帮忙看...
Err. adjusted for clusters in id_election_year Estimates adjusted for mass points in the running variable. Covariate-adjusted Sharp RD estimates using local polynomial regression. Cutoff c = 0 | Left of c Right of c Number of obs = 704 ---+--- BW type = Manual Number of obs | 400 3...
Robust Statistics in Stata Vincenzo Verardi (vverardi@fundp.ac.be) FUNDP (Namur) and ULB (Brussels), Belgium FNRS Associate Researcher Based on joint work with C. Croux (KULeuven) and Catherine Dehon (ULB) 1. Introduction 2. Outliers in regression analysis 3. Overview of robust estimators...
Nick Cox <njcoxstata@gmail.com> wrote: Having been rude about -rreg- I should be more positive: Quantile regression I would regard as potentially robust regression, (Elsewhere I got a lot of flak for saying that, hinging on a quasi-religious dispute on the real, essential, or correct ...
rdrobust: Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods. (gitee.com) https://gitee.com/econometric/rdrobust 在线解决办法: 进入网址链接:https://gitee.com/econometric/rdrobust,进入项目主页。在项目主页中,可以看到该项目的详细介绍以...
We describe a major upgrade to the Stata (and R) rdrobust package, which provides a wide array of estimation, inference, and falsification methods for the analysis and interpretation of regression-discontinuity designs. The main new features of this upgraded version are as follows: i) covariate-...
D Hoechle - 《Stata Journal》 被引量: 1326发表: 2007年 A garnet–hornblende geothermometer: calibration, testing, and application to the Pelona Schist, Southern California (X Ca,g ) where K D is the Fe–Mg distribution coefficient, using a robust regression approach, giving a thermometer of...
p(pvalue) specifies the order of the local polynomial used to construct the point estimator. The default is p(1) (local linear regression).p(pvalue)设定多项式阶数,默认为1,局部线性回归。 kernel(kernelfn) specifies the kernel function used to construct the global polynomial estimators. kernelfn...
To"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> SubjectRE: st: Robust Standard Errors in Paneldatasets DateTue, 26 Oct 2010 13:24:06 +0000 Kit Baum wrote: "None of what you have found deals with clustering." When I followed up on Kit's -xtivreg2_ suggestion, ...