search for: gemeduc

Dear R users My data set is e > names(e) [1] "yearctry" "discent" "age" "gender" "gemeduc" "gemhhinc" "ref_group" "fearfail_ref" "knowent_ref" "nbgoodc_ref" [11] "nbstatus_ref" "estbbuso_ref" "lngdp" "lngdpsq" "es_gdppcppp" "sq_gdppcppp" "estbbo_m&...

Dear R users I have a data set which has five variables. One depenedent variable y, and 4 Independent variables (education-level, householdincome, countrygdp and countrygdpsquare). The first two are data corresponding to the individual and the next two coorespond to the country to which the individual belongs to. My data set does not make this distinction between individual level and country

...performs the regression for all yearctry values and finally produces me the result Is there any other model recommended that should do the job other than the glm???If Yes please help how? Let me give you the exact command that Stata uses, so that things become very clear: *xtprobit s age gender gemeduc gemhinc es_gdppc imf_pop estbbo_m, i(yearctry)* This does exactly what I wish to accomplish in R, ie does the heckman selection equation for the selection variables (seven in my case) based upon the uniqueness of "yearctrty" I have worked weeks on this, kindly help me, I think it is a s...