Simulation-based Inference in Econometrics

Download Simulation-based Inference in Econometrics PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521591126
Total Pages : 488 pages
Book Rating : 4.5/5 (911 download)

DOWNLOAD NOW!


Book Synopsis Simulation-based Inference in Econometrics by : Roberto Mariano

Download or read book Simulation-based Inference in Econometrics written by Roberto Mariano and published by Cambridge University Press. This book was released on 2000-07-20 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.

Discrete Choice Methods with Simulation

Download Discrete Choice Methods with Simulation PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)

DOWNLOAD NOW!


Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Discrete Choice Methods with Simulation

Download Discrete Choice Methods with Simulation PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521017152
Total Pages : 346 pages
Book Rating : 4.0/5 (171 download)

DOWNLOAD NOW!


Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2003-01-13 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents

Handbook of Econometrics

Download Handbook of Econometrics PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0080524796
Total Pages : 737 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Econometrics by : J.J. Heckman

Download or read book Handbook of Econometrics written by J.J. Heckman and published by Elsevier. This book was released on 2001-11-22 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook is a definitive reference source and teaching aid for econometricians. It examines models, estimation theory, data analysis and field applications in econometrics. Comprehensive surveys, written by experts, discuss recent developments at a level suitable for professional use by economists, econometricians, statisticians, and in advanced graduate econometrics courses. For more information on the Handbooks in Economics series, please see our home page on http://www.elsevier.nl/locate/hes

Bayesian Inference in Dynamic Econometric Models

Download Bayesian Inference in Dynamic Econometric Models PDF Online Free

Author :
Publisher : Oxford University Press
ISBN 13 : 0198773137
Total Pages : 370 pages
Book Rating : 4.1/5 (987 download)

DOWNLOAD NOW!


Book Synopsis Bayesian Inference in Dynamic Econometric Models by : Luc Bauwens

Download or read book Bayesian Inference in Dynamic Econometric Models written by Luc Bauwens and published by Oxford University Press. This book was released on 1999 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques basedon simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditionalheteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.

Bayesian Analysis of a Dynamic, Stochastic Model of Labor Supply and Saving

Download Bayesian Analysis of a Dynamic, Stochastic Model of Labor Supply and Saving PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 402 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!


Book Synopsis Bayesian Analysis of a Dynamic, Stochastic Model of Labor Supply and Saving by : Daniel Edward Houser

Download or read book Bayesian Analysis of a Dynamic, Stochastic Model of Labor Supply and Saving written by Daniel Edward Houser and published by . This book was released on 1998 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Estimation of DSGE Models

Download Bayesian Estimation of DSGE Models PDF Online Free

Author :
Publisher : Princeton University Press
ISBN 13 : 0691161089
Total Pages : 295 pages
Book Rating : 4.6/5 (911 download)

DOWNLOAD NOW!


Book Synopsis Bayesian Estimation of DSGE Models by : Edward P. Herbst

Download or read book Bayesian Estimation of DSGE Models written by Edward P. Herbst and published by Princeton University Press. This book was released on 2015-12-29 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. Bayesian Estimation of DSGE Models is essential reading for graduate students, academic researchers, and practitioners at policy institutions.

Handbook of Marketing Decision Models

Download Handbook of Marketing Decision Models PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3319569414
Total Pages : 598 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Marketing Decision Models by : Berend Wierenga

Download or read book Handbook of Marketing Decision Models written by Berend Wierenga and published by Springer. This book was released on 2017-07-12 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of this book presents the state of the art in this important field. Marketing decision models constitute a core component of the marketing discipline and the area is changing rapidly, not only due to fundamental advances in methodology and model building, but also because of the recent developments in information technology, the Internet and social media. This Handbook contains eighteen chapters that cover the most recent developments of marketing decision models in different domains of marketing. Compared to the previous edition, thirteen chapters are entirely new, while the remaining chapters represent complete updates and extensions of the previous edition. This new edition of the Handbook has chapters on models for substantive marketing problems, such as customer relationship management, customer loyalty management, website design, Internet advertising, social media, and social networks. In addition, it contains chapters on recent methodological developments that are gaining popularity in the area of marketing decision models, such as structural modeling, learning dynamics, choice modeling, eye-tracking and measurement. The introductory chapter discusses the main developments of the last decade and discusses perspectives for future developments.

Contemporary Bayesian Econometrics and Statistics

Download Contemporary Bayesian Econometrics and Statistics PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471744727
Total Pages : 322 pages
Book Rating : 4.4/5 (717 download)

DOWNLOAD NOW!


Book Synopsis Contemporary Bayesian Econometrics and Statistics by : John Geweke

Download or read book Contemporary Bayesian Econometrics and Statistics written by John Geweke and published by John Wiley & Sons. This book was released on 2005-10-03 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.

Bayesian Inference in the Social Sciences

Download Bayesian Inference in the Social Sciences PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118771125
Total Pages : 266 pages
Book Rating : 4.1/5 (187 download)

DOWNLOAD NOW!


Book Synopsis Bayesian Inference in the Social Sciences by : Ivan Jeliazkov

Download or read book Bayesian Inference in the Social Sciences written by Ivan Jeliazkov and published by John Wiley & Sons. This book was released on 2014-11-04 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book’s supplemental website Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.

Flux

Download Flux PDF Online Free

Author :
Publisher : University of Toronto Press
ISBN 13 : 1442698403
Total Pages : 345 pages
Book Rating : 4.4/5 (426 download)

DOWNLOAD NOW!


Book Synopsis Flux by : David Soberman

Download or read book Flux written by David Soberman and published by University of Toronto Press. This book was released on 2012-12-05 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has seen a number of developments that threaten the very fabric of how marketing activities have traditionally been conducted. On one hand, consumers are increasingly socially networked and value-conscious, with heightened expectations of how companies will react to their demands. Along with the challenges, however, come new opportunities: the growth of behavioural economics and the emergence of new data collection techniques, for instance, give marketers unprecedented access to previously hidden aspects of consumer behavior. Clearly, ‘business as usual’ is not an option for marketing managers who want their firms to stay in the game. To help managers adapt to the rapidly changing business environment, Flux offers a collection of the very best thinking on key areas of marketing activity and decision-making. Each chapter is written by a leading expert in a specific ‘new’ marketing subject area, from managing brands to dealing with new media, and addresses substantive challenges in that area while providing steps for taking action. The book’s integrated approach makes it an excellent resource not only for marketing managers but any managers dealing with customers.

Econometric Models For Industrial Organization

Download Econometric Models For Industrial Organization PDF Online Free

Author :
Publisher : World Scientific
ISBN 13 : 981310967X
Total Pages : 154 pages
Book Rating : 4.8/5 (131 download)

DOWNLOAD NOW!


Book Synopsis Econometric Models For Industrial Organization by : Matthew Shum

Download or read book Econometric Models For Industrial Organization written by Matthew Shum and published by World Scientific. This book was released on 2016-12-14 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial organization. In recent decades, empirical work in industrial organization has moved towards dynamic and equilibrium models, involving econometric methods which have features distinct from those used in other areas of applied economics. These lecture notes, aimed for a first or second-year PhD course, motivate and explain these econometric methods, starting from simple models and building to models with the complexity observed in typical research papers. The covered topics include discrete-choice demand analysis, models of dynamic behavior and dynamic games, multiple equilibria in entry games and partial identification, and auction models.

Handbook of Econometrics

Download Handbook of Econometrics PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0444636544
Total Pages : 594 pages
Book Rating : 4.4/5 (446 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Econometrics by :

Download or read book Handbook of Econometrics written by and published by Elsevier. This book was released on 2020-11-25 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Econometrics, Volume 7A, examines recent advances in foundational issues and "hot" topics within econometrics, such as inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying leading studies of economic models, mathematical statistics and economic data. Our flourishing ability to address empirical problems in economics by using economic theory and statistical methods has driven the field of econometrics to unimaginable places. By designing methods of inference from data based on models of human choice behavior and social interactions, econometricians have created new subfields now sufficiently mature to require sophisticated literature summaries. - Presents a broader and more comprehensive view of this expanding field than any other handbook - Emphasizes the connection between econometrics and economics - Highlights current topics for which no good summaries exist

A Companion to Theoretical Econometrics

Download A Companion to Theoretical Econometrics PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 047099830X
Total Pages : 736 pages
Book Rating : 4.4/5 (79 download)

DOWNLOAD NOW!


Book Synopsis A Companion to Theoretical Econometrics by : Badi H. Baltagi

Download or read book A Companion to Theoretical Econometrics written by Badi H. Baltagi and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Companion to Theoretical Econometrics provides a comprehensive reference to the basics of econometrics. This companion focuses on the foundations of the field and at the same time integrates popular topics often encountered by practitioners. The chapters are written by international experts and provide up-to-date research in areas not usually covered by standard econometric texts. Focuses on the foundations of econometrics. Integrates real-world topics encountered by professionals and practitioners. Draws on up-to-date research in areas not covered by standard econometrics texts. Organized to provide clear, accessible information and point to further readings.

The Oxford Handbook of Bayesian Econometrics

Download The Oxford Handbook of Bayesian Econometrics PDF Online Free

Author :
Publisher : Oxford University Press
ISBN 13 : 0191618268
Total Pages : 576 pages
Book Rating : 4.1/5 (916 download)

DOWNLOAD NOW!


Book Synopsis The Oxford Handbook of Bayesian Econometrics by : John Geweke

Download or read book The Oxford Handbook of Bayesian Econometrics written by John Geweke and published by Oxford University Press. This book was released on 2011-09-29 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.

Dynamic Linear Models with R

Download Dynamic Linear Models with R PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0387772383
Total Pages : 258 pages
Book Rating : 4.3/5 (877 download)

DOWNLOAD NOW!


Book Synopsis Dynamic Linear Models with R by : Giovanni Petris

Download or read book Dynamic Linear Models with R written by Giovanni Petris and published by Springer Science & Business Media. This book was released on 2009-06-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms. The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online. No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed.

Handbook of Labor Economics

Download Handbook of Labor Economics PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0444534504
Total Pages : 863 pages
Book Rating : 4.4/5 (445 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Labor Economics by : Orley Ashenfelter

Download or read book Handbook of Labor Economics written by Orley Ashenfelter and published by Elsevier. This book was released on 2010-12-09 with total page 863 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the continually evolving field of labour economics.