This paper examines the impact of the Dutch R&D tax incentive scheme on the wages of R&D workers. We construct firm specific R&D tax credit rates that vary over time following variations in the Dutch R&D tax incentive program. Using instrumental variables we estimate a wage-sharing model with an unbalanced firm-level panel data covering the period 19972004. The elasticity of the R&D wage with r...

Using two unbalanced panel data sets of vessels over the periods 1990-1996 and 19942000 the paper estimates stochastic production frontiers and evaluates the effects on individual technical efficiency of inputs controls in the northern banana prawn fishery of Australia. The results indicate that technical efficiency is decreasing in the gear input headrope length that was restricted until 1993 ...

In this paper we relate university licensing revenues to both university research expenditures and characteristics of the university and the university technology transfer office. We apply the Hausman–Taylor estimator for panel data with time-invariant explanatory variables and the Arellano–Bover dynamic panel model to unbalanced panels for the years 1991–2003 and balanced panels for the years ...

This paper examines the impact of the Dutch R&D tax incentives program, known as WBSO, on the wages of R&D workers. In our model these wages are partly determined by the government’s WBSO tax disbursements. We construct detailed firmand time specific R&D tax credit rates as a function of the R&D tax incentives scheme to capture the wage effects of the government R&D support. An instrumentalvari...

We apply nonparametric panel data kernel regression to investigate production risk, output price uncertainty, and risk attitudes of Polish dairy farms based on a firm-level unbalanced panel data set that covers the period 2004–2010. We compare different model specifications and different approaches for obtaining firm-specific measures of risk attitudes. We found that Polish dairy farmers are ri...

China has been undergoing a very rapid but unbalanced urbanization, characterized by under-urbanization of its population and faster urbanization of the land. In such a situation, the urbanization of the population and the land may produce different effects on the natural environment. In addition, due to substantial inter-regional differences, the influence of urbanization on the environment is...

For a random e ects regression model with unbalanced panel data, we demonstrate that the Generalized Least Squares (GLS) estimator can be expressed as a (matrix) weighted average of estimators which utilize the within individual and the between individual variation in the data set. We thus generalize a relationship familiar for balanced panel data. Speci c attention must be given to the interce...