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productivity - hold for knowledge intensive services. Combining the models of Crepon et al. (1998) and of Ackerberg et al. (2015 …), allows for causal interpretation of the relationship between innovation output and labor productivity. We find that knowledge … productivity. Moreover, the firm size advantage found for manufacturing in previous studies nearly disappears for knowledge …
Persistent link: https://www.econbiz.de/10011958696
-setting power) and (iii) revenue productivity. We apply this framework to analyze whether the pricing behavior of firms in product …
Persistent link: https://www.econbiz.de/10011776033
We analyze the link between R&D, innovation, and productivity in MSMEs with a special focus on micro firms with fewer … their labor productivity. Overall, the link between R&D, innovation, and productivity in micro firms does not largely differ …
Persistent link: https://www.econbiz.de/10011452418
This paper explores the employment impact of innovation activity, taking into account both R&D expenditures and embodied technological change (ETC). We use a novel panel dataset covering 265 innovative Italian firms over the period 1998-2010. The main outcome from the proposed fixed effect...
Persistent link: https://www.econbiz.de/10011580909
examines reasons for this divergence and its impact on productivity growth. Our micro-data reveal R&D concentration among high-productivity … prioritize enhancing innovation and imitation success over cost reduction to boost productivity growth. …
Persistent link: https://www.econbiz.de/10014535654
the role of inputs from "Science" (firm-level publications' stock) on firms' labour productivity, showing that the effect …
Persistent link: https://www.econbiz.de/10013449378
The Wooldridge method is based on a simple and novel strategy to deal with the initial values problem in the nonlinear dynamic random-effects panel data models. This characteristic of the method makes it very attractive in empirical applications. However, its finite sample performance is not...
Persistent link: https://www.econbiz.de/10003794131
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...
Persistent link: https://www.econbiz.de/10003824296
Mundlak (1978) proposed the addition of time averages to the usual panel equation in order to remove the fixed effects bias. We extend this Mundlak equation further by replacing the time-varying explanatory variables by the corresponding deviations from the averages over time, while keeping the...
Persistent link: https://www.econbiz.de/10011336953
This paper develops a model for dynamic binary choice panel data that allows for unobserved heterogeneity to be arbitrarily correlated with covariates. The model is of the exponential type. We derive moment conditions that enable us to eliminate the unobserved heterogeneity term and at the same...
Persistent link: https://www.econbiz.de/10009680993