Advances in understanding strategic behaviour

Game Theory, experiments and bounded rationality: essays in honour of Werner Güth

This volume contains sixteen original articles documenting recent progress in understanding strategic behaviour. In their variety they reflect an entire spectrum of coexisting approaches: from orthodox game theory via behavioral game theory, bounded rationality and economic psychology to experimental economics. There are plenty of new ...

Econometrics methods with applications in business and economics

This rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. It covers basic econometric methods and addresses the creative process of model building. Using real-world examples and exercises, it focuses on regression and covers choice data and time series data ...

Econometrics theory and methods

This text provides a starting point for graduate-level econometrics. The comprehensive, yet accessible introductory text includes all of the major subjects of modern econometrics. The book relies on concepts rather than alegbra, with the authors selecting an appropriate level of computation in nonlinear models, of ...

New pespectives in economics theory

the selected works of Halbert White : volume two

New perspectives in econometric theory comprises specielly selected papers by Halbert White which reflect his research in a variety of related areas in econometrics: heteroskedasticity of unknown form nonlinear an nonparametric regression; instrumental variables and generalized method of moments stimation; and measurability and limit theory ...

Introducción a la econometría

Esta obra ha sido pensada y elaborada como texto de un curso introductorio de Econometría. Su peculiaridad respecto a otras obras publicadas sobre esta disciplina en castellano reside en el tratamiento detallado y riguroso del modelo de regresión lineal, el cual constituye un elemento imprescindible ...

A companion to economic forecasting

ÍNDICE: List of Contributors. Preface. Acknowledgements. 1. An Overview of Economic Forecasting: Michael P. Clements (University of Warwick) and David F. Hendry (Nuffield College, Oxford University). 2. Predictable Uncertainty in Economic Forecasting: Neil Ericsson (Federal Reserve Board). 3. Density Forecasting: A Survey: Anthony S. Tay ...

Periodic time series models

This book considers periodic time series models for seasonal data, characterized by parameters that differ across the seasons, and focuses on their usefulness for out-of-sample forecasting. Providing an up-to- date survey of the recent developments in periodic time series, the book presents a large number ...

Computational intelligence in economics and finance

Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge- based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field. In this ...

The structural econometric time series analysis approach

Bringing together a collection of previously published work, this book provides a timely discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. Analytical relations between dynamic econometric structural ...

Computational finance

numerical methods for pricing financial instruments

Computational Finance presents a modern computational approach to mathematical finance within the Windows environment, and contains financial algorithms, mathematical proofs and computer code in C/C++. The author illustrates how numeric components can be developed which allow financial routines to be easily called by the ...

Derivatives and internal models

The successful first edition provided an introduction to the valuation and risk management of modern financial instruments, formulated in a precise mathematical expression and comprehensively covering all relevant topics using consistent and exact notation. In this new edition, Deutsch continues with this philosophy covering new ...

Scheduled-based dynamic transit modeling

theory and applications

Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on- board loads and travel ...

Finite sample econometrics

ÍNDICE: 1.Introduction 2.Finite Sample Moments 3.Finite Sample Distributions 4.Regression Model 5.Models with Nonscalar Covariance Matrix of Errors 6.Dynamic Time Series Model 7.Simultaneous Equations Model

Computational methods in statistics and econometrics

Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data#benefiting from straightforward explanations of mathematical concepts, hundreds of figures and tables, and a ...

Credit risk modeling

theory and applications

David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand, and on a direct modeling of the default probability of issuers on the other. He offers insights that can be drawn from each ...

Hierarchical modeling and analysis for spatial data

Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly ...

State space and unobserved component models

theory and applications

This volume offers a broad overview of the state-of-the-art developments in the theory and applications of state space modeling. With fourteen chapters from twenty-three contributors, it offers a unique synthesis of state space methods and unobserved component models that are important in a wide range ...

Diagnostic checks in time series

Diagnostic checking is an important step in the modeling process. But while the literature on diagnostic checks is quite extensive and many texts on time series modeling are available, it still remains difficult to find a book that adequately covers methods for performing diagnostic checks ...

Economics as an agent-based complex system

toward agent-based social systems sciences

In agent-based modeling the focus is very much on agent-based simulation, as simulation is a very important tool for agent-based modeling. We also use agent-based simulation in this book with a stress on the mathematical foundation of agent-based modeling. We introduce two original mathematical frameworks ...

Mesuring the tax burden on capital and labor

Today's highly complicated tax codes have led economists and policy makers depend on simplified summary measures in order to understand how taxes affect the economy. Studies of the effective tax rate--that is, a measurement of the net amount of tax levied on certain economic ...