Patent ID: 8606603
Filing Date: 2013-12-10
Classification: G06Q

Abstract:
1. A computer-implemented method for predicting and scoring an unemployment probability for an individual employee, comprising the steps of: collecting by the computer, individual employee personal data related to said individual employee, said individual employee personal data including job tenure data, job classification data, and personal employment and unemployment data for the individual employee prior to a most recent employment for the individual employee, wherein said personal employment and unemployment data includes a personal unemployment rate based on occupation, education, industry, age, sex, and geographical region; collecting by the computer, overall employment and unemployment data, wherein said overall employment and unemployment data includes a forecasted overall unemployment rate based on a historical relationship between an overall unemployment rate and economic variables; calculating by the computer, an unemployment risk score for said individual employee, wherein the unemployment risk score is based upon the collected personal data related to the individual employee and the collected overall employment and unemployment data, wherein the unemployment risk score indicates the individual employee's risk of becoming unemployed in a given period, and wherein the unemployment risk score indicates a relationship between the individual employee's risk of becoming unemployed in a given period and the forecasted overall unemployment rate; and generating by the computer, an unemployment insurance premium for the individual employee based on the calculated unemployment risk score.