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.

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.

Many other sections have been entirely rewritten and extended."--BOOK JACKET.

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.

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.

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.

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.