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Author: Tony Lancaster
Publisher: Cambridge University Press
ISBN: 9780521437899
Category : Business & Economics
Languages : en
Pages : 380
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Book Description
This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric specification. A final section treats graphical and numerical methods of specification testing. This is the first published exposition of current econometric methods for the study of duration data.
Author: Tony Lancaster
Publisher: Cambridge University Press
ISBN: 9780521437899
Category : Business & Economics
Languages : en
Pages : 380
Get Book Here
Book Description
This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric specification. A final section treats graphical and numerical methods of specification testing. This is the first published exposition of current econometric methods for the study of duration data.
Author: Bryan Graham
Publisher: Academic Press
ISBN: 0128117710
Category : Business & Economics
Languages : en
Pages : 244
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Book Description
The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice.
Author: Rainer Winkelmann
Publisher: Springer Science & Business Media
ISBN: 9783540404040
Category : Business & Economics
Languages : en
Pages : 324
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Book Description
Many other sections have been entirely rewritten and extended."--BOOK JACKET.
Author: Yoon-Jae Whang
Publisher: Cambridge University Press
ISBN: 1108690475
Category : Business & Economics
Languages : en
Pages : 279
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Book Description
This book offers an up-to-date, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method for ordering probability distributions, stochastic dominance has grown in importance recently as a way to measure comparisons in welfare economics, inequality studies, health economics, insurance wages, and trade patterns. Whang pays particular attention to inferential methods and applications, citing and summarizing various empirical studies in order to relate the econometric methods with real applications and using computer codes to enable the practical implementation of these methods. Intuitive explanations throughout the book ensure that readers understand the basic technical tools of stochastic dominance.
Author: Tony Lancaster
Publisher: Wiley-Blackwell
ISBN: 9781405117197
Category : Business & Economics
Languages : en
Pages : 401
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Book Description
Almost two hundred and forty years ago, an English clergyman named Thomas Bayes developed a method to calculate the chances of uncertain events. While his method has extensive applications to the work of applied economists, it is only recent advances in computing that have made it possible to exploit the full power of the Bayesian way of doing applied economics.In this new and expanding area, Tony Lancasters text provides a comprehensive introduction to the Bayesian way of doing applied economics. Using clear explanations and practical illustrations and problems, the text presents innovative, computer-intensive ways for applied economists to use the Bayesian method.The Introduction emphasizes computation and the study of probability distributions by computer sampling, showing how these techniques can provide exact inferences about a wide range of econometric problems. Covering all the standard econometric models, including linear and non-linear regression using cross-sectional, time series, and panel data, it also details causal inference and inference about structural econometric models. In addition, each chapter includes numerical and graphical examples and demonstrates their solutions using the S programming language and Bugs software.
Author: Dean Corbae
Publisher: Princeton University Press
ISBN: 1400833086
Category : Business & Economics
Languages : en
Pages : 696
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Book Description
Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. Stinchcombe, and Juraj Zeman equip students with the knowledge of real and functional analysis and measure theory they need to read and do research in economic and econometric theory. Unlike other mathematics textbooks for economics, An Introduction to Mathematical Analysis for Economic Theory and Econometrics takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics. Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra. Begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers Takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem Focuses on examples from econometrics to explain topics in measure theory
Author: Jan Svejnar
Publisher: Academic Press
ISBN: 1483289230
Category : Business & Economics
Languages : en
Pages : 463
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Book Description
The Czech Republic and Economic Transition in Eastern Europe is the first in-depth, comparative analysis of the Czech Republic's economic transition after the fall of the Communist bloc. Edited by Jan Svejnar,a principal architect of the Czech economic transformation and Economic Advisor to President Vaclav Havel, the book poses important questions about the Republic and its partners in Central and Eastern Europe. The thirty-five essayists describe the country's macroeconomic performance; its development of capital markets; the structure and performance of its industries; its unemployment, household behavior, and income distribution; and the environmental and health issues it faces.In this in-depth, comparative analysis of the Czech Republic's economic transition, an international team of thirty-five economists examine the Republic and its partners in Central and Eastern Europe. Important questions and issues permeate the essays. For example, prior to 1939 the Czech Republic possessed the most advanced economy in the region; is it capable of reestablishing its dominance? Relative to its neighbors, the Republic ranks especially high on some transition-related performance indicators but low on others. What economic effects are related to the 1993 dissolution of the Czech and Slovak governments? And what can be learned by comparing the economic outcomes of two countries that shared legal and institutional frameworks? Data describe the country's macroeconomic performance; its development of capital markets; the structure and performance of its industries; its unemployment, household behavior, and income distribution; and the environmental and health issues facing it. Its most important contributions are its clarifications of the transition process.The authors included in Transforming Czechoslovakia combine the best available data and techniques of economic analysis to assess the replacement of the inefficient but internally consistent central planning system with a more efficient market system. These authors, among whom are central European economic analysts, senior U.S. economists, and Czechoslovakian professors and economic researchers, discuss the country's macroeconomic performance; its development of capital markets; the structure and performance of its industries; its unemployment, household behavior, and income distribution; and the environmental and health issues facing it. The essays vary between presentations of history and policy and technical examinations of data. Together they offer the most comprehensive and detailed assessment of the country's economic transformation in print.This book is important because its essayists compile results and reach conclusions that are broad and credible. The empirical data were gathered on the ground and have been subjected to advanced methodologies, including game theory, industrial organization, and Granger-Sims causality.
Author: Yacine Aït-Sahalia
Publisher: Princeton University Press
ISBN: 0691161437
Category : Business & Economics
Languages : en
Pages : 683
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Book Description
A comprehensive introduction to the statistical and econometric methods for analyzing high-frequency financial data High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Aït-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Aït-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Aït-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.
Author: Rainer Winkelmann
Publisher: Springer Science & Business Media
ISBN: 3662034654
Category : Business & Economics
Languages : en
Pages : 200
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Book Description
This monograph deals with econometric models for the analysis of event counts. The interest of econometricians in this class of models has started in the mid-eighties. After more than one decade of intensive research, the litera ture has reached a level of maturity that calls for a systematic and accessible exposition of the main results and methods. Such an exposition is the aim of the book. Count data models have found their way into the curricula of micro-econometric classes and are available on standard computer software. The basic methods have been used in countless applications in fields such as labor economics, health economics, insurance economics, urban economics, and economic demography, to name but a few. Other, more recent, methods are poised to become standard tools soon. While the book is oriented towards the empirical economists and applied econometrician, it should be useful to statisticians and biometricians as well. A first edition of this book was published in 1994 under the title "Count Data Models - Econometric Theory and an Application to Labor Mobility" . While this edition keeps the character and broad organization of this first edition, and its emphasis on combining a summary of the existing literature with several new results and methods, it is substantially revised and enlarged. Many parts have been completely rewritten and several new sections have New sections include: count data models for dependent processes; been added.
Author: Eric Ghysels
Publisher: Oxford University Press
ISBN: 0190622016
Category : Business & Economics
Languages : en
Pages : 617
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Book Description
Economic forecasting is a key ingredient of decision making in the public and private sectors. This book provides the necessary tools to solve real-world forecasting problems using time-series methods. It targets undergraduate and graduate students as well as researchers in public and private institutions interested in applied economic forecasting.
