A Simulation Study of Structural Estimators of Dynamic Simultaneous Equations Models with Autoregressive Errors

A Simulation Study of Structural Estimators of Dynamic Simultaneous Equations Models with Autoregressive Errors PDF Author: Tomson Ogwang
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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A Simulation Study of Structural Estimators of Dynamic Simultaneous Equations Models with Autoregressive Errors

A Simulation Study of Structural Estimators of Dynamic Simultaneous Equations Models with Autoregressive Errors PDF Author: Tomson Ogwang
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Full Information Estimation of Dynamic Simultaneous Equations Models with Autoregressive Errors

Full Information Estimation of Dynamic Simultaneous Equations Models with Autoregressive Errors PDF Author: Phoebus J. Dhrymes
Publisher:
ISBN:
Category :
Languages : en
Pages : 54

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Econometrics: Alchemy or Science?

Econometrics: Alchemy or Science? PDF Author: David F. Hendry
Publisher: OUP Oxford
ISBN: 0191522112
Category : Business & Economics
Languages : en
Pages : 560

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Book Description
"Econometrics: Alchemy or Science?" analyses the effectiveness and validity of applying econometric methods to economic time series. The methodological dispute is long-standing, and no claim can be made for a single valid method, but recent results on the theory and practice of model selection bid fair to resolve many of the contentious issues. The book presents criticisms and evaluations of competing approaches, based on theoretical economic and econometric analyses, empirical applications, and Monte Carlo simulations, which interact to determine best practice. It explains the evolution of an approach to econometric modelling founded in careful statistical analyses of the available data, using economic theory to guide the general model specification. From a strong foundation in the theory of reduction, via a range of applied and simulation studies, it demonstrates that general-to-specific procedures have excellent properties. The book is divided into four Parts: Routes and Route Maps; Empirical Modelling Strategies; Formalization; and Retrospect and Prospect. A short preamble to each chapter sketches the salient themes, links to earlier and later developments, and the lessons learnt or missed at the time. A sequence of detailed empirical studies of consumers' expenditure and money demand illustrate most facets of the approach. Material new to this revised edition describes recent major advances in computer-automated model selection, embodied in the powerful new software program PcGets, which establish the operational success of the modelling strategy.

The Econometrics of Panel Data

The Econometrics of Panel Data PDF Author: László Mátyás
Publisher: Springer Science & Business Media
ISBN: 9400901372
Category : Business & Economics
Languages : en
Pages : 944

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Book Description
The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Edwin Kuh (1959), Yair Mundlak (1961), Irving Hoch (1962), and Pietro Balestra and Marc Nerlove (1966), the pooling of cross sections and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific diffi culties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc., have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and pro bit models, latent variable models, duration and count data models, incomplete panels and selectivity bias, point processes, and simulation techniques.

Handbook of Structural Equation Modeling

Handbook of Structural Equation Modeling PDF Author: Rick H. Hoyle
Publisher: Guilford Publications
ISBN: 1462516793
Category : Psychology
Languages : en
Pages : 753

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Book Description
The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.

Dynamic Simulataneous Equation Models with First Order Autoregressive Errors

Dynamic Simulataneous Equation Models with First Order Autoregressive Errors PDF Author: Haluk Erlat
Publisher:
ISBN:
Category :
Languages : en
Pages : 256

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Seasonality in Regression

Seasonality in Regression PDF Author: Svend Hylleberg
Publisher: Academic Press
ISBN: 1483277747
Category : Business & Economics
Languages : en
Pages : 284

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Book Description
Seasonality in Regression presents the problems of seasonality in economic regression models. This book discusses the procedures that may have application in practical econometric work. Organized into eight chapters, this book begins with an overview of the tremendous increase in the computational capabilities made by the development of the electronic computer that has profound implications for the way seasonality is handled by economists. This text then examines some seasonal models and their characteristics. Other chapters consider the most frequently applied evaluation criteria and appraise the values in the applications. This book discusses as well the frequency domain estimators and provides insight into problems of estimating the disturbance–covariance matrix through the use of the disturbance spectrum. The final chapter deals with the main objective of the treatment of personality to formulate and estimate econometric models. This book is a valuable resource for economists and econometricians who have knowledge of econometrics at an advanced undergraduate or graduate level.

JOURNAL OF Econometrics COMPUTATION IN ECONMETRIC MODELS

JOURNAL OF Econometrics COMPUTATION IN ECONMETRIC MODELS PDF Author: Warren T. Dent
Publisher:
ISBN:
Category :
Languages : en
Pages : 444

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A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors

A Comparison of Some Limited Information Estimators for Dynamic Simultaneous Equations Models with Autocorrelated Errors PDF Author: Phoebus J. Dhrymes
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 76

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Random Coefficient Autoregressive Models: An Introduction

Random Coefficient Autoregressive Models: An Introduction PDF Author: D.F. Nicholls
Publisher: Springer Science & Business Media
ISBN: 1468462733
Category : Mathematics
Languages : en
Pages : 160

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Book Description
In this monograph we have considered a class of autoregressive models whose coefficients are random. The models have special appeal among the non-linear models so far considered in the statistical literature, in that their analysis is quite tractable. It has been possible to find conditions for stationarity and stability, to derive estimates of the unknown parameters, to establish asymptotic properties of these estimates and to obtain tests of certain hypotheses of interest. We are grateful to many colleagues in both Departments of Statistics at the Australian National University and in the Department of Mathematics at the University of Wo110ngong. Their constructive criticism has aided in the presentation of this monograph. We would also like to thank Dr M. A. Ward of the Department of Mathematics, Australian National University whose program produced, after minor modifications, the "three dimensional" graphs of the log-likelihood functions which appear on pages 83-86. Finally we would like to thank J. Radley, H. Patrikka and D. Hewson for their contributions towards the typing of a difficult manuscript. IV CONTENTS CHAPTER 1 INTRODUCTION 1. 1 Introduction 1 Appendix 1. 1 11 Appendix 1. 2 14 CHAPTER 2 STATIONARITY AND STABILITY 15 2. 1 Introduction 15 2. 2 Singly-Infinite Stationarity 16 2. 3 Doubly-Infinite Stationarity 19 2. 4 The Case of a Unit Eigenvalue 31 2. 5 Stability of RCA Models 33 2. 6 Strict Stationarity 37 Appendix 2. 1 38 CHAPTER 3 LEAST SQUARES ESTIMATION OF SCALAR MODELS 40 3.