similar to: negative binomial regression, unbalanced panel

I am currently using the PGLM package and I would like to implement a within-model. Unfortunately, I do not succeed as I am not a big expert in panel regression. I am using the example data set from the PGLM package: library(pglm) data('Unions', package = 'pglm') anb <- pglm(union~wage+exper+rural, Unions, family=binomial('probit'), model="within", method =

Hi, I have a set of matrix data named “invest” consists of 450 observations (75 countries, 6 years) with 7 variables (set as I, pop, inv, gov, c, life, d; which each is “numeric[450]”). The procedure is modify from code provided by B.E. Hansen at http://www.ssc.wisc.edu/~bhansen/progs/ecnmt_00.html. *Then the variable is being transformed to* y <- lag_v(i,0) cf <-

I'm using the package pglm and I'have estimated a "random probit model". I need to save in a vector the fitted values and the residuals of the model but I can not do it. I tried with the command fitted.values using the following procedure without results: library(pglm) m1_S<-pglm(Feed ~ Cons_PC_1 + imp_gen_1 + LGDP_PC_1 + lnEI_1 +

Dear Sir, When requesting the summary of pglm analyses in R, I encounter repeatedly the following warning message: "Warning message: In pf(Fstat, object$k - 1, object$n - object$k, ncp = 0, lower.tail = FALSE, : full precision was not achieved in 'pnbeta'" This message appears both with the pglm estimate of Lambda and with Lambda set to 0. Could you tell me what

Dear all, How do I obtain the number of countries that my panel models estimated by pglm() and relogit() (the latter one is in the Zelig library) use? I couldn't find any information on that in the help files. Thank you very much in advance. Best wishes

Hi, my first email, I hope I don't violate any rules. I want to run a panel (cross-section-time-series) regression with fixed effects. I have count data (patent citations) so a Poisson distribution applies. But I also want to control for over-dispersion and and excess zeros. I think I read all manuals of potentially helpful packages but I could not find a way to realise this. The closest I got

Gracias a todos por sus respuestas, perdón si no fui muy claro. Lo que intento replicar es un análisis realizado en Stata, tengo que hacer los mismos cálculos pero en el r. En Stata lo que se hizo fue: xi: logistic i.coord i.v11_sexo, vce (cluster red) *Vce (cluster clustvar) especifica que los errores estándar permiten la correlación intragrupo, relajando el requisito habitual de que las

CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This