Structural change in Finnish manufacturing: The theory of the aggregation of production functions and an empirical analysis with a plant-level panel

In this paper, structural change in the Finnish manufacturing industries is studied using the theory of the aggregation of production functions and longitudinal plant-level data for the period from 1980 to 2005. To characterise the nature of structural change in 12 industries, we examine the invariance of aggregate production functions over time. Aggregate production functions need not be estimated because, according to the theory of the aggregation of production functions, the invariance can be analysed by investigating the stability of capacity density functions, which describe the distribution of value added in these industries. Even though the shapes of aggregate production functions alter over time in most industries, there are differences in timing and in the degree of turbulence across industries. The analysis confirms that in some industries (e.g., the paper industry) the late 1980s marked the beginning of a period of relatively strong structural change. The food and communications equipment manufacturing industries are examples of industries for which the 1990s was a period of turbulence.

Research highlights► Aggregation theory is useful in the examination of structural change. ► Aggregation theory and the use of longitudinal micro-data can be combined. ► The theory of the aggregation of production functions can be used. ► Aggregate production functions need not be estimated. ► Only capacity density functions should be estimated.