search for: es_gdppc

...uk> wrote: > I am new to R, I have to do a 2 step Heckman model, my selection equation is > below which I was successful in running but I am unable to proceed further, > > > > I have so far used the following command > > glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc + > ??? imf_pop + estbbo_m, family = binomial(link = "probit")) > > My question is > 1. How do i discard the non significant selection variables (one out of the > seven variables above is non-significant) and calculate the Inverse Mills > Ratio of the significant variabl...

...quot; "nbstatus" [16] "sunowjob" "suyr5job" "omnowjob" "omyr5job" "gemwork3" [21] "suboanw" "babybuso" "estbbuso" "suboan_m" "babybo_m" [26] "estbbo_m" "es_gdppc" "ief_fisc" "yearctry" "ief_ipr" [31] "wb_law" "wb_corr" "imf_pop" "imf_pgro" "es_gdpch" [36] "sq_gdppc" "ln_oy5" "gemedu" "gemhinc" "ipr_...

...for 65*9 values of "yearctry" with each "yearctry" having 2000 observations 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 "...

I have so far used the following command glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc + imf_pop + estbbo_m, family = binomial(link = "probit")) My question is 1. How do i discard the non significant selection variables (one out of the seven variables above is non-significant) and calculate the Inverse Mills Ratio of the significant variables 2. I need the inverse mil...

...al responses with yearctry = 2000001), I have 65 different countries in the survey and time span from 2000-2008 ie 9 years. My question is: How do I make R recognise yearctry as my panel variable when I am running a glm like the one below: > glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc + imf_pop + estbbo_m, family = binomial(link = "probit")) What changes/additions do I make to this above probit regression command such that the variable "yearctry" could be passed/assigned as the panel variable? Kindly help Thanks in advance Saurav -- Dr.Saurav Pathak P...

Hi I am working on a panel data, my data are clustered/grouped by the variable "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.pathak...