C This dataset looks at the relationship between the employment status          
C of married women and a set of explanatory variables for 155                   
C individuals. For each individual, data is recorded annually. There are        
C 1580 measurements.                                                            
C The variables are:                                                            
C CASE - individual identifier                                                  
C FEMP - wife's employment status; 1=employed, 0=unemployed                     
C MUNE - husband's employment status; 1=unemployed, 0=employed                  
C TIME - calendar time (year-1975)                                              
C UND1 - children aged < 1 year old; 1=yes, 0=no                                
C UND5 - children aged < 5 years old; 1=yes, 0=no                               
C AGE  - age (years-35)                                                         
C Declare the variables; read the data; specify the response variable           
DATA CASE FEMP MUNE TIME UND1 UND5 AGE                                          
READ wemp.dat                                                                   
YVAR FEMP                                                                       
C Factorise categorical variables                                               
FAC MUNE FMUNE                                                                  
FAC UND1 FUND1                                                                  
FAC UND5 FUND5                                                                  
C Fit a standard logistic regression; display the model and the estimates       
LFIT INT FMUNE FUND5                                                            
DIS M                                                                           
dis e                                                                           
return