This paper develops an empirical framework for estimating a number of inter-firm and downstream research spillovers in the canola crop research industry. The spillovers include basic research, human capital/ knowledge (as measured through other-firm expenditures), and genetics (as measured...

One of the most enduring problems in cross-section or panel data models is heterogeneity among individual observations. Different approaches have been proposed to deal with this issue, but threshold regression models offer intuitively appealing econometric methods to account for heterogeneity....

The study uses firm-specific data in the biotech canola industry to empirically examine research spillovers among public and private firms at the level of research output, research sales revenue, and research social revenue. The non-pecuniary spillovers that are examined include basic research,...

This paper examines the effect of functional form specification on the estimation of technical efficiency using a panel data set of 125 olive-growing farms in Greece for the period 1987–93. The generalized quadratic Box-Cox transformation is used to test the relative performance of...

The dynamic CUSUM test for structural change proposed by KrÄmer, Ploberger and Alt (1988) is investigated when the errors are serially correlated in a linear dynamic model. We show that the dynamic CUSUM test can be modified to allow for serial correlation in the disturbance using the same...

This article uses a simple variation of the Solow model to study the interrelations between economic growth and the labor market. We show, both analytically and empirically, that income and capital per worker in the steady state depend positively on flexibility of the labor market; that the...

One of the most enduring problems in econometrics is how to properly account for heterogeneity among firms. Threshold regression models are intuitively appealing methods to deal with this issue. We consider a fixed-effect panel data stochastic frontier model (Schmidt and Sickles, 1984; Martin-Marcos...