Econometrics and economic statistics

This book explains the role of big data and statistical physics in understanding macroeconomic concepts.

This book discusses the econometric foundations of structural vector autoregressive modeling, as used in empirical macroeconomics, finance, and related fields.

This book discusses the econometric foundations of structural vector autoregressive modeling, as used in empirical macroeconomics, finance, and related fields.

An introduction to the modern theory of economic design, it develops an up-to-date treatment of the adjudication of conflicting claims.

An introduction to the modern theory of economic design, it develops an up-to-date treatment of the adjudication of conflicting claims.

This book uses empirically-based analytical narratives to shed light on the development of national wine markets throughout the world.

This book provides an introduction to Suzanne Scotchmer''s contributions to the economics of innovation, intellectual property incentives, and equilibrium theory.

This book provides an introduction to Suzanne Scotchmer''s contributions to the economics of innovation, intellectual property incentives, and equilibrium theory.

A user-oriented, practical introduction outlining methods for analysing actuarial and financial risk.

This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories.

This book provides a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching.

This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or truncated.

A user-oriented, practical introduction outlining methods for analysing actuarial and financial risk.

This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories.

This book provides a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching.

This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or truncated.

The first volume of edited papers from the Tenth World Congress of the Econometric Society 2010.

This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

This third edition contains the latest research techniques and findings relating to the empirical analysis of financial markets.

The first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.

A comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric.

This accessible textbook and supporting web site use Excel (R) to teach introductory econometrics.

Foundations of Dynamic Economic Analysis presents an introductory but thorough exposition of optimal control theory.

A demonstration of how time series econometrics can be used in economics and finance.

A stand-alone textbook in matrix algebra for econometricians and statisticians - advanced undergraduates, postgraduates and teachers.

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation.

This volume makes accessible the large body of work that has grown out of Shapley''s seminal 1953 paper.

This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose.

A synthesis of developments in ordered choice modeling over the past fifty years.

This book expands the explanatory scope of econophysics to the real economy.

The first volume of edited papers from the Tenth World Congress of the Econometric Society 2010.

This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose.

A rigorous, unfussy introduction to modern probability theory that focuses squarely on applications in finance.

A rigorous, unfussy introduction to modern probability theory that focuses squarely on applications in finance.

A GUIDE TO ECONOMICS, STATISTICS AND FINANCE THAT EXPLORES THE MATHEMATICAL FOUNDATIONS UNDERLING ECONOMETRIC METHODS An Introduction to Econometric Theory offers a text to help in the mastery of the mathematics that underlie econometric methods and includes a detailed study of matrix algebra and distribution theory.

A GUIDE TO ECONOMICS, STATISTICS AND FINANCE THAT EXPLORES THE MATHEMATICAL FOUNDATIONS UNDERLING ECONOMETRIC METHODS An Introduction to Econometric Theory offers a text to help in the mastery of the mathematics that underlie econometric methods and includes a detailed study of matrix algebra and distribution theory.

How the obsession with quantifying human performance threatens business, medicine, education, government-and the quality of our livesToday, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers.

An inter-disciplinary perspective on the role of simplicity in modelling and inference, first published in 2002.

Provides statistical tools and techniques needed to understand today's financial markets The Second Edition of this critically acclaimed text provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data.

Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making.

A comprehensive account of economic size distributions around the world and throughout the years In the course of the past 100 years, economists and applied statisticians have developed a remarkably diverse variety of income distribution models, yet no single resource convincingly accounts for all of these models, analyzing their strengths and weaknesses, similarities and differences.

A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics.

Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation.

Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time.

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data.

The first cutting-edge guide to using the SAS system for the analysis of econometric data Applied Econometrics Using the SAS System is the first book of its kind to treat the analysis of basic econometric data using SAS , one of the most commonly used software tools among today's statisticians in business and industry.

This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework.

A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates.

How can economists define and measure social preferences and interactions?