Hello, Hello, I have those parameters from a multinomial logit regression that explains Education (L/M/H) by language (Dominant/Other Europe/Non-European).   proc logistic data=edu.educationClean; class Language(ref='Dom') /param=ref; model edu3(ref='H')= Language /link=glogit rsquare; weight pond / norm; where model=1; run; Analysis of Maximum Likelihood Estimates Parameter   edu3 DF Estimate Standard Wald Pr > ChiSq Error Chi-Square Intercept   L 1 -0.7505 0.0134 3131.38 <.0001 Intercept   M 1 0.159 0.0103 236.585 <.0001 Language Europe L 1 -0.0533 0.0841 0.4021 0.526 Language Europe M 1 -0.2527 0.0677 13.9402 0.0002 Language Non-Europe L 1 1.5045 0.0729 426.15 <.0001 Language Non-Europe M 1 0.2267 0.0773 8.6057 0.0034   The parameter (-0.0533) thus compares L to H for Other Euoprean compared to Dominant (reference category). Now I want to know what is the parameter for L compared to all others (M+H), so I was going to do -0.0533-(-0.2527)=0.1994. 1-Is this correct? 2-If so, why, when I perform a binominal logit regression (L vs Other), I get these parameters. In my mind, it should give the same.   proc logistic data=edu.educationClean; class Language(ref='Dom') /param=ref; model LOW(ref='0')= Language /link=glogit rsquare; weight pond / norm; where model=1; run;   Analysis of Maximum Likelihood Estimates Parameter   LOW DF Estimate Standard Wald Pr > ChiSq Error Chi-Square Intercept   1 1 -1.5263 0.0122 15662.1 <.0001 Language Europe 1 1 0.0751 0.0776 0.9348 0.3336 Language Non-Europe 1 1 1.3759 0.0566 591.027 <.0001 ... View more

Hello, I have a dataset that looks like this:   year orig dest flow 1990 AT BE 456 1990 AT DE 356 1990 AT DE  21 1990 BE DE 235   I would like to sum the column "flow" when year, orig and dest have the same value. For instance, in that example, the dataset should become:   year orig dest flow 1990 AT BE 456 1990 AT DE 377 1990 BE DE 235   Is there a simple way to do this? ... View more

Hello, I have a dataset that look like this. Variable AT, BE, and so on are countries. For countries where the value is missing, I would like to input the average value of non-missing countries. So for the first line, the value for BG should change to the average of -2.1343, -1.23434, -2.4543, etc.  How can I do that?     variable class1 class2 sex AT BE BG CY CZ DE Age 1 0 0 -2.13432 -1.23434 . -2.4543 -1.324 -3.123 AGE 2 0 0 .  -2.76 -2.4512 -1.126 -0.642 -3.536     ... View more

Hello, I computed multinomial logit regression parameters using proc logistic:   proc sort data=edu.educationClean;by EU15 sex;run; proc logistic data=edu.educationClean; class cohort2(ref='2') Langue(ref='0') cntr_regr(ref=first) genstat3(ref='0') eduM3(ref='2') religion(ref='0') /param=ref; model edu3(ref='2')= cntr_regr cohort2 cntr_regr*cohort2 Langue genstat3 religion eduM3  /link=glogit rsquare; weight pond / norm; by EU15 sex; where model=1; run;   I would like to use parameters to predict values of edu3 in another dataset  (donnees.popbase2) which has the same shape, but a different population. Is it possible? ... View more

Hello, I have logit regression outputs for 28 countries * 2 sex. The output format is the same, because the independant variables and categories are the same as well as the dependant variable (labor force participation, 0-1). I would like to manage these outputs in order to have a single table stating the estimated parameters in column and the independent variables in row.  Is it possible or do I need to copy-paste in Excel? ... View more