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...

An indirect estimator is proposed for two long memory volatility models; the fractionally integrated generalised autoregressive conditional heteroskedasticity (FIGARCH) model and the long memory stochastic volatility (LMSV) model. The small sample properties of the indirect estimator are...

Strong seasonality in demand, a short product life cycle, and the absence of any price competition make the release date of first-run movies one of the main strategic decisions taken by movies' distributors. Movies are typically released on a Friday within a short release season, thus making the...

This paper provides conditions for identification and estimation of the conditional or unconditional average effect of a binary treatment or policy on a scalar outcome in models where treatment may be misclassified. Misclassification probabilities and the true probability of treatment are also...

Finite-sample inference methods are developed for quantile regression models. The methods are conservative in that (i) they apply to arbitrary sample sizes without the liberal assumption that sample sizes approach infinity, (ii) they apply when the quantiles are partially or set identified,...

A quadratic function is frequently used in regression to infer the existence of an extremum in a relationship. Examples abound in fields such as economics, epidemiology and environmental science. However, most applications provide no formal test of the extremum. Here we compare the Delta method...

Copulas offer a convenient way of modelling multivariate observations and capturing the intrinsic dependence between the components of a multivariate random variable. A semiparametric method for estimating the dependence parameters of copulas was proposed by Genest, Ghoudi and Rivest (1995), in...