We have entered a new era in the evolution of organizational life in which all of us can be agents capable of transforming the direction and flow of events. The immense forces of the technological, societal, and global changes resulted in a variety of new terms and labels that attempted to capture the changing work-life reality: post-industrial society, the information revolution, the postc…
Accordingly, my strong hypothesis going into this research project was that the emphasis on short-term budgetary targets – a pivotal aspect of the slightly clumsy term Reliance on Accounting Performance Measures (RAPM) – is one key barrier to a strong long-term growth orientation of the management at the researched company.
Modeling Count Data is written for the practicing researcher who has a reason to analyze and draw sound conclusions from modeling count data. More specifically, it is written for an analyst who needs to construct a count response model but is not sure how to proceed.
This book is a volume in the Econometric Exercises series. It teaches principles of Bayesian econometrics by posing a series of theoretical and applied questions, and providing detailed solutions to those questions. This text is primarily suitable for graduate study in economet- rics, though it can be used for advanced undergraduate courses, and should generate interest from students in relat…
The objective of econometrics is to study economic phenomena using statistical observations. Econometrics formalizes the economic theory in the form of relationships (models) whose unknown elements are determined by the available data. Econometrics quantifies and tests economic theories and makes those theories operational through forecasting or simulation of the impact of political or economic…
Bayesian analysis provides a unified and coherent way of thinking about decision problems and how to solve them using data and other information. The goal of this book is to acquaint the reader in a serious way with this approach and its problem- solving potential, and to this end it has two objectives. The first is to provide a clear understanding of Bayesian analysis, grounded in the theory…
Recent years have seen a marked increase in the mathematical sophistication of econometric research. While the theory of linear parametric models which forms the backbone of the subject makes an extensive and clever use of matrix algebra, the statistical prerequisites of this theory are comparatively simple. But now that these models are pretty thoroughly understood, research is concentrated in…
Energy is today, more than ever, at the core of the world economy and its evolution. One of the major challenges of the century is to generate more energy, to facilitate access to energy and economic development of the poor, but also to manage climate change properly in a perspective of sustainable develop- ment. The growing importance of energy matters in the daily functioning of the world eco…
This review is a primer for those who wish to familiarize themselves with nonparametric econometrics. Though the underlying theory for many of these methods can be daunting for some practitioners, this article will demonstrate how a range of nonparametric methods can in fact be deployed in a fairly straightforward manner. Rather than aiming for encyclopedic coverage of the field, we shall res…
This book collects a series of essays to celebrate the work of David Hendry: one of the most influential of all modern econometricians. David’s writing has covered many areas of modern econometrics, which brings together insights from economic theory, past empirical evidence, the power of modern computing, and rigorous statistical theory to try to build useful empirically appealing models.…