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Author: Wei Wei Publisher: Springer Science & Business Media ISBN: 3642310230 Category : Business & Economics Languages : en Pages : 156
Book Description
Approaching Business Models from an Economic Perspective examines business model logic and explores the model from different aspects including definition, design, functionality, elements, and self-sustaining logic. It explains the essence and core elements of a business model and unlocks its mysteries, helping transform business model practices into an expedient set of theories that in turn facilitate application in real scenarios. The book explores the logic behind the six major elements and enables entrepreneurs to study and implement business model theory and make decisions confidently based on a compelling logic. Moreover, it demonstrates through an array of convincing examples that a transaction structure and its six elements follow the principles of increasing transaction value, reducing transaction costs, and mitigating transaction risks.
Author: Wei Wei Publisher: Springer Science & Business Media ISBN: 3642310230 Category : Business & Economics Languages : en Pages : 156
Book Description
Approaching Business Models from an Economic Perspective examines business model logic and explores the model from different aspects including definition, design, functionality, elements, and self-sustaining logic. It explains the essence and core elements of a business model and unlocks its mysteries, helping transform business model practices into an expedient set of theories that in turn facilitate application in real scenarios. The book explores the logic behind the six major elements and enables entrepreneurs to study and implement business model theory and make decisions confidently based on a compelling logic. Moreover, it demonstrates through an array of convincing examples that a transaction structure and its six elements follow the principles of increasing transaction value, reducing transaction costs, and mitigating transaction risks.
Author: Aris Spanos Publisher: Cambridge University Press ISBN: 9780521269124 Category : Business & Economics Languages : en Pages : 722
Book Description
A thorough foundation in probability theory and statistical inference provides an introduction to the underlying theory of econometrics that motivates the student at a intuitive as well as a formal level.
Author: Vance Martin Publisher: Cambridge University Press ISBN: 0521139813 Category : Business & Economics Languages : en Pages : 925
Book Description
"Maximum likelihood estimation is a general method for estimating the parameters of econometric models from observed data. The principle of maximum likelihood plays a central role in the exposition of this book, since a number of estimators used in econometrics can be derived within this framework. Examples include ordinary least squares, generalized least squares and full-information maximum likelihood. In deriving the maximum likelihood estimator, a key concept is the joint probability density function (pdf) of the observed random variables, yt. Maximum likelihood estimation requires that the following conditions are satisfied. (1) The form of the joint pdf of yt is known. (2) The specification of the moments of the joint pdf are known. (3) The joint pdf can be evaluated for all values of the parameters, 9. Parts ONE and TWO of this book deal with models in which all these conditions are satisfied. Part THREE investigates models in which these conditions are not satisfied and considers four important cases. First, if the distribution of yt is misspecified, resulting in both conditions 1 and 2 being violated, estimation is by quasi-maximum likelihood (Chapter 9). Second, if condition 1 is not satisfied, a generalized method of moments estimator (Chapter 10) is required. Third, if condition 2 is not satisfied, estimation relies on nonparametric methods (Chapter 11). Fourth, if condition 3 is violated, simulation-based estimation methods are used (Chapter 12). 1.2 Motivating Examples To highlight the role of probability distributions in maximum likelihood estimation, this section emphasizes the link between observed sample data and 4 The Maximum Likelihood Principle the probability distribution from which they are drawn"-- publisher.
Author: John Geweke Publisher: Princeton University Press ISBN: 1400835240 Category : Business & Economics Languages : en Pages : 176
Book Description
Econometric models are widely used in the creation and evaluation of economic policy in the public and private sectors. But these models are useful only if they adequately account for the phenomena in question, and they can be quite misleading if they do not. In response, econometricians have developed tests and other checks for model adequacy. All of these methods, however, take as given the specification of the model to be tested. In this book, John Geweke addresses the critical earlier stage of model development, the point at which potential models are inherently incomplete. Summarizing and extending recent advances in Bayesian econometrics, Geweke shows how simple modern simulation methods can complement the creative process of model formulation. These methods, which are accessible to economics PhD students as well as to practicing applied econometricians, streamline the processes of model development and specification checking. Complete with illustrations from a wide variety of applications, this is an important contribution to econometrics that will interest economists and PhD students alike.
Author: L. Anselin Publisher: Springer Science & Business Media ISBN: 9401577994 Category : Business & Economics Languages : en Pages : 295
Book Description
Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.
Author: Jeffrey M. Wooldridge Publisher: MIT Press ISBN: 0262232588 Category : Business & Economics Languages : en Pages : 1095
Book Description
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
Author: J.C. van den Bergh Publisher: Springer Science & Business Media ISBN: 9780792349983 Category : Business & Economics Languages : en Pages : 344
Book Description
There is widespread concern for long-term environmental issues in relation to economic processes and developments. Among the concerned scientists are economists, who have taken up the challenge to apply economic insights and tools for the study of long-term environment-economy interactions, and to give the concept of sustainable development 'economic hands and feet'. This book presents a pluralistic perspective on efforts, problems and successes in this area. This collection of papers was originally prepared for an international symposium titled Economic Modelling of Sustainable Development: Between Theory and Practice, which was hosted by the Vrije Universiteit in Amsterdam, on December 20th 1996. The main motivation for this symposium was that the usefulness of the concept of sustainable development for theoretical and applied modelling is still being debated; growth theorists, resource economists, ecological economists, policy makers and many others are trying to deal with the concept in various, and sometimes conflicting, ways. The aim of the symposium was to bring together different theoretical and implementational perspectives on modelling for sustainable development. We hope that this volume will inform a wide audience about the perspectives and progress in this important area of research, as well as stimulate further research, notably on applied modelling and practical methods for the analysis of sustainable development at various (spatial) scales. The papers have, in due course, been revised several times based on comments made by discus sants, referees and the editors.
Author: Wei Wei
Author: Wei Wei
Author: Aris Spanos
Author: Vance Martin
Author: John Geweke
Author: David M. Kreps
Author: Dani Rodrik
Author: Mary S. Morgan
Author: L. Anselin
Author: Jeffrey M. Wooldridge
Author: J.C. van den Bergh