We use plant-level linked employer-employee data from Finland to estimate production functions where also employee characteristics (average age and education, and sex composition) are included. We also estimate similar models for wages to examine whether wages are based on productivity. Our aim...

Aggregate productivity growth can be decomposed into growth within establishments, between establishments, and the impact of entering and exiting establishments. We demonstrate that such a productivity decomposition formula can also be used for studying intra-establishment restructuring through...

We use plant-level employer-employee data in production functions and wage equations to examine whether wages are based on productivity. We use a stepwise procedure to find out how the results are influenced by the kind of data that is available. The models include shares of employee groups...

We use data on twins matched to register-based information on earnings to examine the long-standing puzzle of non-existent compensating wage differentials. The use of twin data allows us to remove otherwise unobserved productivity differences that were the prominent reason for estimation bias in...

Using nationally representative survey data for Finnish employees linked to register data on their wages and work histories we find wage effects of high involvement management (HIM) practices are generally positive and significant. However, employees with better wage and work histories are more...