The aim of this paper is to put forward a taxonomy of national innovation systems(NISs). With that purpose in mind we will first implement a technique for mappinginnovation systems that was developed by Godinho et al. (2003). Such mapping allowsone to compare directly different NISs, by...

This paper argues that media and communications theory, as with cultural and creative industries analysis, can benefit from a deeper understanding of economic growth theory. Economic growth theory is elucidated in the context of both cultural and media studies and with respect to modern Chinese...

The paper put in antithesis, theoretically, two models of development and evolution of mankind, namely, economic development based on consumption of the exhaustible resources and pollution and on the other hand the development based on the concepts of sustainable development, involving a new...

The research paper starts from the reality that each country faces challenges in the balanced economic development of its territory. Inequalities in the levels of development of the regions of a country have arisen either as a result of changing economic conditions, the development of economic...

Artículo de revista ; This article analyses a broad set of relevant variables for monitoring inflationary pressures in the Spanish economy. On the basis of these variables, composite indicators are calculated that proxy inflation expectations, the degree of slack in the economy and other...

In this thesis, we address issues of model estimation for longitudinal categorical data and of model selection for these data with missing covariates. Longitudinal survey data capture the responses of each subject repeatedly through time, allowing for the separation of variation in the measured...

An important challenge in statistical modeling involves determining an appropriate structural form for a model to be used in making inferences and predictions. Missing data is a very common occurrence in most research settings and can easily complicate the model selection problem. Many useful...

This dissertation is a collection of three stand-alone research papers. Thereby, the class of local polynomial matching estimators is the central object of investigation. The first essay concentrates on applying local polynomial matching methods in order to account for missing data when...

In much of applied statistics variables of interest are measured with error. In particular, regression with covariates that are subject to measurement error requires adjustment to avoid biased estimates and invalid inference. We consider two aspects of this problem. Detection Limits (DL) arise...

We consider estimation in generalized linear mixed models (GLMM) for longitudinal data with informative dropouts. At the time a unit drops out, time-varying covariates are often unobserved in addition to the missing outcome. However, existing informative dropout models typically require...