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    Arvid Raknerud

    A model for matched data with two types of unobserved heterogeneity is considered – one related to the observation unit, the other to units to which the observation units are matched. One or both of the unobserved components are assumed... more
    A model for matched data with two types of unobserved heterogeneity is considered – one related to the observation unit, the other to units to which the observation units are matched. One or both of the unobserved components are assumed to be random. This mixed model allows identification of the effect of time-invariant variables on the observation units. Applying the
    In a growth accounting context one usually constructs a quality adjusted index of labor services by aggregating over predefined groups of workers, using the groups' relative wage bills as weights. In this article we... more
    In a growth accounting context one usually constructs a quality adjusted index of labor services by aggregating over predefined groups of workers, using the groups' relative wage bills as weights. In this article we suggest a method based on decomposing individual predicted wages into a skill-related part and a part unrelated to skill, where the former consists of both observed
    We address the question of whether the returns to R&D differ between R&D projects funded by public grants and R&D in general. To answer this question, we use a flexible production function that distinguishes between different types of R&D... more
    We address the question of whether the returns to R&D differ between R&D projects funded by public grants and R&D in general. To answer this question, we use a flexible production function that distinguishes between different types of R&D by source of finance. Our approach requires no adjustment of the sample or data in order to include firms that never invest in R&D, in contrast to the standard Cobb-Douglas production specification. We investigate the productivity and profitability effects of R&D using a comprehensive panel of Norwegian firms over the period 2001-2009. The results suggest that the returns to R&D projects subsidized by the Research Council of Norway do not differ significantly from R&D spending in general. Our estimate of the average rate of return to R&D is about 10 percent. This estimate is robust with respect to whether firms with zero R&D are included in the estimation sample or not. In contrast, using a standard Cobb-Douglas specification and restricting the sa...
    This study explores a wage-based skill measure using information from a wage equation. Evidence from matched employer-employee data show that skill is attributable to variables other than educational length, for instance experience and... more
    This study explores a wage-based skill measure using information from a wage equation. Evidence from matched employer-employee data show that skill is attributable to variables other than educational length, for instance experience and type of education. Applying our wage-based skill measure to TFP growth analysis, the TFP growth decreases, indicating that more of the change in value-added is picked up
    ... Borregaard has now become the world's largest manufacturer of vanillin. Economists may find stories like this one quite surprising. ... in zk(t). Due to data limitations and some explorative data analyses, we decided to... more
    ... Borregaard has now become the world's largest manufacturer of vanillin. Economists may find stories like this one quite surprising. ... in zk(t). Due to data limitations and some explorative data analyses, we decided to include only input and output price indexes. ...
    This paper describes firms’ output and factor demands before, during, and after episodes of lumpy investment. By using a rich employer–employee panel data set for two manufacturing industries and one service industry, we focus on... more
    This paper describes firms’ output and factor demands before, during, and after episodes of lumpy investment. By using a rich employer–employee panel data set for two manufacturing industries and one service industry, we focus on simultaneous variations in output, capital, materials, man hours, labour productivity, and the skill composition and hourly cost of labour. Investment spikes are followed by roughly
    A seemingly unrelated time series equations framework for the linear almost ideal (AID) demand system is considered. The framework is applied to a consumer demand system covering nine non-durable commodities. Within a specification where... more
    A seemingly unrelated time series equations framework for the linear almost ideal (AID) demand system is considered. The framework is applied to a consumer demand system covering nine non-durable commodities. Within a specification where the static linear AID system is augmented by latent variables representing stochastic trends and seasonality, demand homogeneity is tested; both in each equation and in the
    A seemingly unrelated time series equations framework for the linear almost ideal (AID) demand system is considered. The framework is applied to a consumer demand system covering nine non-durable commodities. Within a specification where... more
    A seemingly unrelated time series equations framework for the linear almost ideal (AID) demand system is considered. The framework is applied to a consumer demand system covering nine non-durable commodities. Within a specification where the static linear AID system is augmented by latent variables representing stochastic trends and seasonality, demand homogeneity is tested; both in each equation and in the