Salary lines forecasting by means of generalized binomial processes

The evolution salary is function of the rules of career development. These rules usually change if the company being observed changes. With this fact in mind, this paper presents a class of useful models for forecasting the number of workers at each grade of a given firm. The paper generalizes the results obtained in some previous papers giving, for the first time, the possibility of forecasting not only the cost of the salary but also its subdivision into its constituents parts both for the total and the unitary wage cost. The model also permits the forecasting of the future career path of the workers in each grade and also the taking in account the future gender percentage within the different grades. Furthermore, the model presented offers the possibility of considering the changes in the job pyramidal structure considering also the change of the number of grades of the studied firm. A real data application is presented in which different hypotheses of the future evolution of the labour force are shown. The related algorithm is also