Simulation Based Econometric Methods
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Simulation Based Econometric Methods
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Author : Christian Gouriéroux
language : en
Publisher: OUP Oxford
Release Date : 1997-01-09
Simulation Based Econometric Methods written by Christian Gouriéroux and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-09 with Business & Economics categories.
This book introduces a new generation of statistical econometrics. After linear models leading to analytical expressions for estimators, and non-linear models using numerical optimization algorithms, the availability of high- speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach. After a brief survey of classical parametric and semi-parametric non-linear estimation methods and a description of problems in which criterion functions contain integrals, the authors present a general form of the model where it is possible to simulate the observations. They then move to calibration problems and the simulated analogue of the method of moments, before considering simulated versions of maximum likelihood, pseudo-maximum likelihood, or non-linear least squares. The general principle of indirect inference is presented and is then applied to limited dependent variable models and to financial series.
Simulation Based Econometric Methods
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Author : Christian Gouriéroux
language : en
Publisher:
Release Date : 1995
Simulation Based Econometric Methods written by Christian Gouriéroux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Econometric models categories.
Simulation Based Econometric Methods
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Author : Christian Gourieroux
language : en
Publisher: Oxford University Press
Release Date : 1996
Simulation Based Econometric Methods written by Christian Gourieroux and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Business & Economics categories.
High speed computing has enabled a new generation of statistical econometrics to become available. The simulation of problems that previously were too unwieldy to solve because of large integrals is now possible.
Simulation Based Econometric Methods
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Author :
language : en
Publisher:
Release Date : 1997
Simulation Based Econometric Methods written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Simulation Based Inference In Econometrics
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Author : Roberto Mariano
language : en
Publisher: Cambridge University Press
Release Date : 2000-07-20
Simulation Based Inference In Econometrics written by Roberto Mariano and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-20 with Business & Economics categories.
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
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Author : Kenneth Train
language : en
Publisher: Cambridge University Press
Release Date : 2009-07-06
Discrete Choice Methods With Simulation written by Kenneth Train and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-06 with Business & Economics categories.
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.
Simulation Based Inference In Econometric
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Author : Roberto Mariano
language : es
Publisher:
Release Date : 2000
Simulation Based Inference In Econometric written by Roberto Mariano and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Introductory Econometrics
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Author : Humberto Barreto
language : en
Publisher: Cambridge University Press
Release Date : 2006
Introductory Econometrics written by Humberto Barreto and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.
Simulation Methods In Econometric Analysis
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Author : Sheng-Kai Chang
language : en
Publisher:
Release Date : 2002
Simulation Methods In Econometric Analysis written by Sheng-Kai Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Maximum Simulated Likelihood Methods And Applications
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Author : William Greene
language : en
Publisher: Emerald Group Publishing
Release Date : 2010-12-03
Maximum Simulated Likelihood Methods And Applications written by William Greene and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-03 with Business & Economics categories.
This collection of methodological developments and applications of simulation-based methods were presented at a workshop at Louisiana State University in November, 2009. Topics include: extensions of the GHK simulator; maximum-simulated likelihood; composite marginal likelihood; and modelling and forecasting volatility in a bayesian approach.