but what Stata is giving you is -(.25^2) * x1^4 = -.0625 * x1^4 i.e. you are subtracting when you want to add, hence your first measure always winds up smaller than your second (even when they appear the same, they are different several decimal places down). To fix this, i...
From: khigbee@stata.com Re: st: Inconsistent Result of generating variables From: Richard Williams <Richard.A.Williams.5@nd.edu> Prev by Date: RE: st: Residuals in Logistic Regression Next by Date: RE: st: Residuals in Logistic Regression Previous by thread: Re: st: Inconsistent Resul...
A few days ago, my friend asked me is there any function in R to generate lag/lead variables in a data.frame or did similar thing as _n in stata. He would like to use that to clean-up his dataset in R. In stata help manual: _n contains the number of the current observation. H...
Making Spatial Analysis Operational:Commands for Generating Spatial-Effect Varia-bles in Monadic and Dyadic Data. Eric Neumayer,Thomas Plumper. The Stata Journal . 2010Neumayer, E. and Plumper, T. (2010). Making Spatial Analysis Operational: Commands for Generating Spatial Effect Variables in Monadic...
(2010). Making spatial analysis operational: Commands for generating spatial-e¤ect variables in monadic and dyadic data. The Stata Journal, 10(4), 585-605.Making Spatial Analysis Operational:Commands for Generating Spatial-Effect Varia-bles in Monadic and Dyadic Data. Eric Neumayer,Thomas Plumper...
where Employment_growthisltis the dependent variable proxied by a logarithmic change in employment; Digitalisation, Process_innovation, Product_innovation, and Export variables denote firm-level strategic choices, measured as dummy variables defined in Table1. ZXisltdenotes a vector of firm-level contro...
挂指令Stata 十大 (类) 外挂指令 (to be added/revised) : 回归 (控制多重固定效应并允许多重聚类):(iv)reghdfe (linear regression absorbing multiple levels of fixed effects, allowingtwo- and multi-way clustering) 回归 (工具变量):(xt)ivreg2 (Extendedinstrumental variables/2SLS, GMM and AC/HAC...
In this work we model time using sojourn time, or time in days since the last event for that individual. The basic patient characteristics and event characteristics are heterogeneous in data type. This means that some will be categorical variables, some will be continuous, some binary, and ...
Continuous variables determined to be normally distributed are reported as a mean ± standard deviation whilst continuous variables determined not to be normally distributed are reported as a median and range (minimum–maximum). We examined the interchangeability in the Echo-MDD and Ang-MDD, and Echo...
Fourth, the model allows constructing a variety of risk measures tailored to the needs of the user, such as the time for exceeding predefined thresholds of changes in climate variables and probabilities of exceedance. Fifth, AIRCC-Clim includes a graphical emissions editor to facilitate introducing ...