El principal objetivo de este trabajo ha sido analizar los principales determinantes de las actividades innovativas en la industria manufacturera chilena durante la segunda mitad de los años noventa. Los resultados confirman las principales hipótesis acerca de la importancia del tamaño de la...

It has long been recognized that worker wages and possibly productivity are higher in large firms. Moreover, at least since Schumpeter (1942) economists have been interested in the relative efficiency of large firms in the research and development enterprise. This paper uses longitudinal...

We develop and test a model of the patenting and R&D decisions of an innovating firm whose scientist-employees sometime quit to join or start a rival. In our model, the innovating firm patents to protect itself from its employees. We show theoretically that the risk of a scientist's departure...

One of the important public policy issues in science and technology is to ascertain if and how firms' investments in research and development (R&D) contribute to technical progress at firm and industry levels. Griliches (1979) made a pioneering contribution to our understanding of economic...

In this paper, we propose the use of bootstrapping methods to obtain correct critical values for dating breaks. Following the procedure proposed in Banerjee, Lazarova and Urga (1998), we consider the case of estimating a system with two or more marginal processes and a conditional process....

This paper considers the nonlinear regression with integrated regressors that are contemporaneously correlated with the regression error. We, in particular, establish the consistency and derive the limiting distribution of the nonlinear least squares estimator under such endogeneity for the...

This paper analyzes conditions under which various k-class estimators are asymptotically normal in a simultaneous equations framework with many weak instruments. In particular, our paper extends the many instruments asymptotic normality results obtained by Morimune (1983), Bekker (1994), Angrist...

We consider a semiparametric log periodogram regression estimation of memory parameter $d$ for non-stationary fractional time series using wavelet transformation. We propose wavelet-based log periodogram regression estimator, and obtain the asymptotic mean squared error, consistency and...

This paper develops a dynamic stochastic model to examine the joint patent application and renewal behavior under an international patent protection regime. This framework makes it possible to utilize both the cross-sectional (multi-country filing) and the time-series (patent renewal) dimensions...

This paper develops Wald-type tests for general (possibly nonlinear) restrictions in the context of a weakly-identified heteroskedastic IV regression. In particular, it is first shown that, in a framework with many weak instruments, consistency and asymptotic normality can be obtained when...