search for: adpopdata

...is be done in R using my concept or otherwise does there exist > another way of doing what I wish to achieve > > > > On trying > > regmod <- heckit(s ~ age + gender + gemedu + gemhinc + es_gdppc + > > ??? imf_pop + estbbo_m, ln_oy5_1 ~ age+ gender+fearfail+gemedu, > adpopdata,method="2step") > > > > I get > > Error: could not find function "heckit" > > > > Error: could not find function "invMillsRatio" > > > > Am I missing out something, do i have to install something apart from R > also, so far...

...see is that the number of rows of IMR calculated and the number of rows in the actual data set do not match and hence IMR could not be added to my original data set, how do I fix this and then proceed to get correct IMR to use in my outcome equation, Can someone please help???/ > load("C:\\adpopdata1.Rdata") > ls() [1] "adpopdata" > attach(adpopdata) > names(adpopdata) [1] "ctry" "setid" "gender" "age" "year" [6] "ownmge" "busang" "futsup" "discent&q...

...bservations roughly. Hence I use the glm/probit to look into the selection bias where all my dependant variable "s" are either 0 or 1. The formula *myProbit<- glm(s ~ age + gender + gemedu + gemhinc + es_gdppc + imf_pop + estbbo_m, family = binomial(link = "probit"), data = adpopdata)* is the Heckman selection equation based on all observations without taking into account the fact that each "yearctry" is unique, I want the selection equation to recognise the uniqueness of each "yearctry" value , takes one "yearctry" at a time, estimates the probit...

...t;yearctry", I am running the regression below, but I cant make the regression recognise "yearctry" as the panel variable in the regression myProbit<- glm(s ~ age + gender + gemedu + gemhinc + es_gdppc + imf_pop + estbbo_m, family = binomial(link = "probit"), data = adpopdata) Can anyone help me do this please??? Thanks Saurav -- Dr.Saurav Pathak PhD, Univ.of.Florida Mechanical Engineering Doctoral Student Innovation and Entrepreneurship Imperial College Business School s.pathak08@imperial.ac.uk 0044-7795321121 [[alternative HTML version deleted]]