We study the role of R&D spillovers when modelling total factor productivity (TFP) by industry. Using Norwegian industry level data, we find that for many industries there are significant spillovers from both domestic sources and from technological change at the international frontier....

Many economists maintain that environmental regulations hamper productivity growth. However, recently, an opposing view has gained advocates. Indeed, it has been suggested that the empirically detected inverse relationship between environmental regulations and productivity growth is an almost...

Business innovation is an important driver of productivity growth. In this paper, I assess the importance of R&D and ICT investment for firm performance in the manufacturing and service industries. Explicitly, I use an extended version of the CDM model that treats ICT together with R&D as the...

An applied econometric study of aggregation, based on an unbalanced panel data set for manu-facturing plants is presented. Panel data are informative in examining aggregation of variables, parameters, and relationships empirically since they (i) allow estimation at both the micro and the macro...

Foster et al. (2001) outline a framework that is commonly used to identify the contribution from firm turnover to aggregate productivity growth. The framework is not derived from economic theory and it implies that productivity levels determine the contribution from reallocation and firm...

This paper explores the inconsistency of common scale estimators when output is proxied by deflated sales, based on a common output deflator across firms. The problems arise when firms operate in an imperfectly competitive environment and prices differ between firms. In particular, we show that...

We evaluate consequences of some important assumptions ofthe perpetual inventory method of capital stock calculation under geometric depreciation. The data are plant-level panel data from the Norwegian manufacturing statistics, containing independent measures of capital stocks and gross...

This paper analyses the importance of scale economies by means of unbalanced plant-level panel data from three Norwegian manufacturing industries. Focus is on heterogeneous technologies, and unlike most previous work on micro data, the model description includes heterogeneity in both the scale...

We propose a new method for estimating capital stocks at the firm level by combining business accounts information and investment data. The method also produces capital estimates at the sector or industry level by summing individual firms' capital stocks and appropriately inflating this sum to...

Most studies of heterogeneous labor inputs use classifications of high skilled and low skilled based on workers' educational attainment. In this study we explore a wage-based skill measure using information from a wage equation. Evidence from matched employer--employee data show that skill is...