Identification and Estimation of Linear Dynamic Economic Models with Temporally Autocorrelated Disturbances

Identification and Estimation of Linear Dynamic Economic Models with Temporally Autocorrelated Disturbances PDF Author: Poonsa-nga Somboonpanya
Publisher:
ISBN:
Category :
Languages : en
Pages : 444

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Identification and Estimation of Linear Dynamic Economic Models with Temporally Autocorrelated Disturbances

Identification and Estimation of Linear Dynamic Economic Models with Temporally Autocorrelated Disturbances PDF Author: Poonsa-nga Somboonpanya
Publisher:
ISBN:
Category :
Languages : en
Pages : 444

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Identification and Estimation of Linear Dynamic Economic Models with Themporally Autocorrelated Disturbances

Identification and Estimation of Linear Dynamic Economic Models with Themporally Autocorrelated Disturbances PDF Author: Poonsa-nga Somboonpanya
Publisher:
ISBN:
Category :
Languages : en
Pages : 222

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Recursive Models of Dynamic Linear Economies

Recursive Models of Dynamic Linear Economies PDF Author: Lars Peter Hansen
Publisher: Princeton University Press
ISBN: 0691180733
Category : Business & Economics
Languages : en
Pages : 418

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Book Description
A guide to the economic modeling of household preferences, from two leaders in the field A common set of mathematical tools underlies dynamic optimization, dynamic estimation, and filtering. In Recursive Models of Dynamic Linear Economies, Lars Peter Hansen and Thomas Sargent use these tools to create a class of econometrically tractable models of prices and quantities. They present examples from microeconomics, macroeconomics, and asset pricing. The models are cast in terms of a representative consumer. While Hansen and Sargent demonstrate the analytical benefits acquired when an analysis with a representative consumer is possible, they also characterize the restrictiveness of assumptions under which a representative household justifies a purely aggregative analysis. Hansen and Sargent unite economic theory with a workable econometrics while going beyond and beneath demand and supply curves for dynamic economies. They construct and apply competitive equilibria for a class of linear-quadratic-Gaussian dynamic economies with complete markets. Their book, based on the 2012 Gorman lectures, stresses heterogeneity, aggregation, and how a common structure unites what superficially appear to be diverse applications. An appendix describes MATLAB programs that apply to the book's calculations.

Stochastic Dynamic Properties of Linear Econometric Models

Stochastic Dynamic Properties of Linear Econometric Models PDF Author: J. Wolters
Publisher: Springer Science & Business Media
ISBN: 3642953794
Category : Business & Economics
Languages : en
Pages : 163

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Time Series and Dynamic Models

Time Series and Dynamic Models PDF Author: Christian Gourieroux
Publisher: Cambridge University Press
ISBN: 9780521411462
Category : Business & Economics
Languages : en
Pages : 692

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Book Description
In this book Christian Gourieroux and Alain Monfort provide an up-to-date and comprehensive analysis of modern time series econometrics. They have succeeded in synthesising in an organised and integrated way a broad and diverse literature. While the book does not assume a deep knowledge of economics, one of its most attractive features is the close attention it pays to economic models and phenomena throughout. The coverage represents a major reference tool for graduate students, researchers and applied economists. The book is divided into four sections. Section one gives a detailed treatment of classical seasonal adjustment or smoothing methods. Section two provides a thorough coverage of various mathematical tools. Section three is the heart of the book, and is devoted to a range of important topics including causality, exogeneity shocks, multipliers, cointegration and fractionally integrated models. The final section describes the main contribution of filtering and smoothing theory to time series econometric problems.

Econometric Analysis of Cross Section and Panel Data, second edition

Econometric Analysis of Cross Section and Panel Data, second edition PDF Author: Jeffrey M. Wooldridge
Publisher: MIT Press
ISBN: 0262232588
Category : Business & Economics
Languages : en
Pages : 1095

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Book Description
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

On the Identification and Estimation of the Dynamic Simultaneous Equations Model with Autoregressive Disturbances

On the Identification and Estimation of the Dynamic Simultaneous Equations Model with Autoregressive Disturbances PDF Author: Michio Hatanaka
Publisher:
ISBN:
Category :
Languages : en
Pages : 40

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Modeling Dynamic Economic Systems

Modeling Dynamic Economic Systems PDF Author: Matthias Ruth
Publisher: Springer Science & Business Media
ISBN: 1461422094
Category : Business & Economics
Languages : en
Pages : 324

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Book Description
This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.

Comprehensive Dissertation Index

Comprehensive Dissertation Index PDF Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 896

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Book Description


Dynamic Linear Economic Models

Dynamic Linear Economic Models PDF Author: James L. Kenkel
Publisher: Routledge
ISBN:
Category : Business & Economics
Languages : en
Pages : 408

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Book Description
Textbook presenting mathematical analysis techniques and econometrics methodology used in the analysis of dynamic economic models - places emphasis on an understanding of the cyclic and stability properties of models, and includes techniques for analysing distributed lag models and macroeconomics models, etc. Bibliography pp. 374 to 377.