/* Examples of dummy dependent variables 
   Data " cps_msa2013 : 2013 Current population survey for 3 MSA
   3 MSA : NY, LA, CHICAGO
   Created by Jin Man Lee
   Updated: 3/11/2015
   1. Befor you run this program you need to download the sas data set from 
      http://condor.depaul.edu/jlee141/econdata/cps/cps_msa2013.sas7bdat
   2. copy the file into your folder. I am using d:\cps as an example
   3. Once you have the file, you need to define the location of the file using 'libname'
   4. Here is the example
*/  

libname cps 'd:\cps' ; 

data d2013 ; set cps.cps_msa2013 ; 
if educ92 = 1                   then    educyr =  1 ; 
if educ92 = 2             		 then    educyr =  4 ; 
if educ92 = 3 					 then    educyr =  6 ; 
if educ92 = 4 					 then    educyr =  8 ; 
if educ92 = 5 					 then    educyr =  9 ; 
if educ92 = 6 					 then    educyr =  10; 
if educ92 = 7 					 then    educyr =  11; 
if educ92 = 8  | educ92 = 9  	 then    educyr =  12; 
if educ92 = 10 | educ92 = 11 | educ92 = 12 	 then    educyr =  14; 
if educ92 = 13 				 then    educyr =  16; 
if educ92 = 14 				 then    educyr =  18; 
if educ92 = 15 				 then    educyr =  20; 
if educ92 = 16 				 then    educyr =  21 ;

edusq = educyr*educyr ;
/* Labor Participation Definition */
if lfstat = 1 | lfstat = 2 then laborp = 1; else laborp = 0 ;

/* Select only Female */
if lfstat ne . and female = 1 ;

/* Log Income */
lhincome = log(inch_all) ;

run ;

/* All statistic Analysis can be done after the data step process */

proc freq ; tables laborp female lfstat*laborp ; run ;
proc means ; var tables laborp female lhincome  ; run ;

proc reg ; 
  model laborp = age educyr married child lhincome ; run ;

proc logistic ; model laborp = age educyr married child lhincome ; run ;

proc contents ; run ;