ABSTRACT
In the present paper we will demonstrate that plausible estimations of individual occupational risk can be extracted from detailed registration data representing the entire population at risk. The negative binomial count data model is used to estimate the individual rate of accident occurrence per working day. To this end complete registration data on casualties of serious occupational accidents was merged to individual registration data describing the entire population at risk. In the model occupational risk may vary for individual workers as a result of differences in their human capital (age, gender, flex worker, nativity, tenure, hours worked per week) and the hazardous nature of the work (instrumented by 262 sector fixed-effects covering the entire economy).
