In this study an attempt is made to develop a model to predict the monthly wages of regular paid employees on the basis of socio-economic and demographic determinants. Further it is investigated that which variables play more important role in prediction of monthly wages of employees. The data was obtained from Pakistan Labour Force Survey 2009-10 conducted by Federal Bureau of Statistics, Pakistan. The dependent variable is monthly wages of employees and independent variables are socio-economic and demographic characteristics of the employees. Multilayer Perceptron (MLP) Neural Network Model has been used for analysis purpose. The results showed that the demographic characteristics; age, gender and area of working, and the socio-economic determinants; education, job status and working hours are playing important role in predicting earning of employees.