This paper investigates the impact of ICT- and non-ICT capital, and of labour at different skill levels, on productivity and employment in the financial intermediation sector of twelve EU member countries plus the US and Japan. A stochastic possibility frontiers (SPF) approach is applied to...

A fixed effects regression estimator is introduced that can directly identify and estimate the Africa-Dummy in one regression step so that its correct standard errors as well as correlations to other coefficients can easily be estimated. We can estimate the Nickel bias and found it to be...

This paper investigates the impact of ICT- and non-ICT capital, and of labour at different skill levels, on productivity and employment in the financial intermediation sector of twelve EU member countries plus the US and Japan. A stochastic possibility frontiers (SPF) approach is applied to...

This paper studies the productivity impact of heterogeneous capital inputs of selected EU-15 member countries and of the U.S. at the macroeconomic level. The stochastic possibility frontiers approach of Battese and Coelli (1992) applied here is used to identify neutralities or nonneutralities...

Extant literature indicates that technology, and by implication its underlying knowledge base, determines long-run economic performance. Absent from the literature with respect to developing countries are quantitative assessments of the nexus between technology as knowledge and economic...

Applications tend to ignore that measured TFP reflects the variation of output that cannot be explained by changes in inputs. Such a change is not necessarily technological, so measured TFP differences across firms are an amalgam of technological, efficiency and other differences in attributes,...

Total Factor Productivity (TFP) accounts for a sizeable proportion of the income and growth differences across countries. Two challenges remain to researchers aiming to explain these differences: on the one hand, TFP growth is hard to measure; on the other hand, model uncertainty hampers...

This paper establishes conditions for nonparametric identification of dynamic optimization models in which agents make both discrete and continuous choices. We consider identification of both the payoff function and the distribution of unobservables. Models of this kind are prevalent in applied...

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model...

In this paper, we propose a single-index panel data model with unobserved multiple interactive fixed effects. This model has the advantages of being flexible and of being able to allow for common shocks and their heterogeneous impacts on cross sections, thus making it suitable for the...