Econometric Modeling
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Econometric Modeling
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Author : David F. Hendry
language : en
Publisher: Princeton University Press
Release Date : 2007-03-25
Econometric Modeling written by David F. Hendry and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-25 with Business & Economics categories.
Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques. David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrated systems. In each setting, a statistical model is constructed to explain the observed variation in the data, with estimation and inference based on the likelihood function. Substantive issues are always addressed, showing how both statistical and economic assumptions can be tested and empirical results interpreted. Important empirical problems such as structural breaks, forecasting, and model selection are covered, and Monte Carlo simulation is explained and applied. Econometric Modeling is a self-contained introduction for advanced undergraduate or graduate students. Throughout, data illustrate and motivate the approach, and are available for computer-based teaching. Technical issues from probability theory and statistical theory are introduced only as needed. Nevertheless, the approach is rigorous, emphasizing the coherent formulation, estimation, and evaluation of econometric models relevant for empirical research.
Econometric Models Techniques And Applications
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Author : Michael D. Intriligator
language : en
Publisher: Prentice Hall
Release Date : 1978
Econometric Models Techniques And Applications written by Michael D. Intriligator and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Business & Economics categories.
The econometric approach; Models and econometric models; Single-equation estimation; Application of single-equation estimationl Simultaneous equations; The uses of econometrics.
Structural Econometric Modeling In Industrial Organization And Quantitative Marketing
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Author : Ali Hortaçsu
language : en
Publisher: Princeton University Press
Release Date : 2023-10-24
Structural Econometric Modeling In Industrial Organization And Quantitative Marketing written by Ali Hortaçsu and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with Business & Economics categories.
Structural econometric modeling specifies the structure of an economic model and estimates the model's parameters from real-world data. Structural econometric modeling enables better economic theory-based predictions and policy counterfactuals. This book offers a primer on recent developments in these modeling techniques, which are used widely in empirical industrial organization, quantitative marketing, and related fields. It covers such topics as discrete choice modeling, demand modes, estimation of the firm entry models with strategic interactions, consumer search, and theory/empirics of auctions. The book makes highly technical material accessible to graduate students, describing key insights succinctly but without sacrificing rigor.
Regional Econometric Modeling
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Author : M. Ray Perryman
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Regional Econometric Modeling written by M. Ray Perryman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
This book is the first volume of the International Series in Economic Model ing, a series designed to summarize current issues and procedures in applied modeling within various fields of economics and to offer new or alternative approaches to prevailing problems. In selecting the subject area for the first volume, we were attracted by the area to which applied modeling efforts are increasingly being drawn, regional economics and its associated subfields. Applied modeling is a broad rubric even when the focus is restricted to econometric modeling issues. Regional econometric modeling has posted a record of rapid growth during the last two decades and has become an established field of research and application. Econometric models of states and large urban areas have become commonplace, but the existence of such models does not signal an end to further development of regional econ ometric methods and models. Many issues such as structural specification, level of geographic detail, data constraints, forecasting integrity, and syn thesis with other regional modeling techniques will continue to be sources of concern and will prompt further research efforts. The chapters of this volume reflect many of these issues. A brief synopsis of each contribution is provided below: Richard Weber offers an overview of regional econometric models by discussing theoretical specification, nature of variables, and ultimate useful ness of such models. For an illustration, Weber describes the specification of the econometric model of New Jersey.
Modelling Economic Series
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Author : Clive William John Granger
language : en
Publisher: Oxford University Press
Release Date : 1990
Modelling Economic Series written by Clive William John Granger 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 1990 with Business & Economics categories.
This is a volume of readings for graduate students, especially those taking courses in applied econometrics, who need to learn how to evaluate the validity of present theories and techniques. The aim of the text is to aid readers in the difficult task of actually constructing models. The essays vary in the degree of technical sophistication used, but each paper intends to provide students with a sound knowledge of the practical difficulties of model specification, evaluation and interpretation, as well as advice on tackling these difficulties.
Econometric Modeling And Forecasting
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Author : Jagat Prirayani
language : en
Publisher:
Release Date : 2017-11
Econometric Modeling And Forecasting written by Jagat Prirayani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11 with Econometric models categories.
This book serves as a reference guide to econometrics modelling and forecasting. The book is divided into two parts i.e. Modelling and Forecasting, to make it easy for the reader to understand the topic.The first part of the book i.e. Modelling, throws light on the various econometric models. The models are very well explained to make it easier for anyone reading the book to grasp the concept. Various mathematical and statistical tools used with reference to econometrics models are also discussed. Chapter 4 discusses hypothesis testing which is of paramount importance in any research and will also act as a base for the next part of the book i.e. Forecasting. Various basic tests, which are used for hypothesis testing are also included in the chapter.The second part of the book i.e. Forecasting includes several different concepts such as forecasting principles, forecasting classification, forecasting accuracy evaluation and its industrial applications in depth. The concepts are enriched with relevant case studies. The case studies have been specially selected for the better understanding of the concepts. The book is written with a vision to guide the reader on structuring a forecasting problem. The book provides the necessary information to the reader so that the reader can design various forecasting methods and evaluate them efficiently. It answers important questions such as: * How to implement various forecasting methods in different situations and with different variables?* When to accept or reject the forecasts? The book takes the readers through a variety of forecasting methods, with a strong discussion on their strengths and weaknesses, and an analysis on how to use them efficiently. The book has been written with the objective of helping the readers/researchers select the most appropriate method for a given forecasting problem and ultimately, evaluate the chosen forecasting model. This is useful especially when selection of the most appropriate method for a particular situation is the most important criterion. This book also suggests what research on forecasting methods will have the greatest, and the least, payoff. Research on forecasting has grown in importance to a great extent in recent times due to the fact that application of forecasting techniques has been growing rapidly in the areas of the social, behavioral and management sciences. So much is known about forecasting methods, but little is applied. Why? Because what is known in one field is unknown in another or because it frequently contradicts our common sense or challenges our beliefs and our behavior. Hence, the book will also tell the researcher how to effectively use, evaluate and interpret different forecasting methods under different situations. Underlying the evaluation procedure is the need to test methods against reasonable alternatives. Overall, this book should serve as a standard source of reference for researchers in the fields of business, government, academia, and consulting.
Econometric Modeling And Inference
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Author : Jean-Pierre Florens
language : en
Publisher: Cambridge University Press
Release Date : 2007-07-02
Econometric Modeling And Inference written by Jean-Pierre Florens 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 2007-07-02 with Business & Economics categories.
The aim of this book is to present the main statistical tools of econometrics. It covers almost all modern econometric methodology and unifies the approach by using a small number of estimation techniques, many from generalized method of moments (GMM) estimation. The work is in four parts: Part I sets forth statistical methods, Part II covers regression models, Part III investigates dynamic models, and Part IV synthesizes a set of problems that are specific models in structural econometrics, namely identification and overidentification, simultaneity, and unobservability. Many theoretical examples illustrate the discussion and can be treated as application exercises.
Econometric Model Performance
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Author : Lawrence R. Klein
language : en
Publisher: University of Pennsylvania Press
Release Date : 2016-11-11
Econometric Model Performance written by Lawrence R. Klein and has been published by University of Pennsylvania Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-11 with Business & Economics categories.
Models of the American economy exist in government, research institutes, universities, and private corporations. Given the proliferation, it is wise to take stock because these models come from diverse sources and describe different conditions from alternative points of view. They could be saying different things about the economy. The high-level comparative studies in this volume, gathered from several issues of the International Economic Review, with a substantive introduction and the addition of more comparative material, evaluate the performance of eleven models of the American economy: the Wharton Mark Ill Model; Brookings Model; Hickman-Coen Annual Model; Liu-Hwa Monthly Model; Data Resources, Inc. (DRI) Model; Federal Reserve Bank of St. Louis Model; Michigan Quarterly Econometric (MOEM) Model; Wharton Annual and Industry Model; Anticipation Version of the Wharton Mark Ill Model/Fair Model; U.S. Department of Commerce (BEA) Model. Each of the proprietors or builders of these models describes his own system in his own words. These studies come closer than ever before to standardizing model operations for testing purposes. Some of the models are monthly, while others are annual. but the quarterly unit of time is the most frequent. Some are demand oriented, others are supply oriented, and focus on the input-output sectors of the economy. Some use only observed. objective data; others use subjective. anticipatory data. Both large and small models are included. In spite of the diversity, the contributors have cooperated to trace the differences between their models to root causes and to report jointly the results of their research. There are also some general papers that look at model performance from outside the CEME group.
Regional Econometric Modeling
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Author : M. Ray Perryman
language : en
Publisher: Springer
Release Date : 2011-11-03
Regional Econometric Modeling written by M. Ray Perryman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-03 with Business & Economics categories.
This book is the first volume of the International Series in Economic Model ing, a series designed to summarize current issues and procedures in applied modeling within various fields of economics and to offer new or alternative approaches to prevailing problems. In selecting the subject area for the first volume, we were attracted by the area to which applied modeling efforts are increasingly being drawn, regional economics and its associated subfields. Applied modeling is a broad rubric even when the focus is restricted to econometric modeling issues. Regional econometric modeling has posted a record of rapid growth during the last two decades and has become an established field of research and application. Econometric models of states and large urban areas have become commonplace, but the existence of such models does not signal an end to further development of regional econ ometric methods and models. Many issues such as structural specification, level of geographic detail, data constraints, forecasting integrity, and syn thesis with other regional modeling techniques will continue to be sources of concern and will prompt further research efforts. The chapters of this volume reflect many of these issues. A brief synopsis of each contribution is provided below: Richard Weber offers an overview of regional econometric models by discussing theoretical specification, nature of variables, and ultimate useful ness of such models. For an illustration, Weber describes the specification of the econometric model of New Jersey.
Specification Estimation And Analysis Of Macroeconometric Models
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Author : Ray C. Fair
language : en
Publisher:
Release Date : 1984
Specification Estimation And Analysis Of Macroeconometric Models written by Ray C. Fair and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Business & Economics categories.
This book gives a practical, applications-oriented account of the latest techniques for estimating and analyzing large, nonlinear macroeconomic models. Ray Fair demonstrates the application of these techniques in a detailed presentation of several actual models, including his United States model, his multicountry model, Sargent's classical macroeconomic model, autoregressive and vector autoregressive models, and a small (twelve equation) linear structural model. He devotes a good deal of attention to the difficult and often neglected problem of moving from theoretical to econometric models. In addition, he provides an extensive discussion of optimal control techniques and methods for estimating and analyzing rational expectations models. A computer program that handles all the techniques in the book is available from the author, making it possible to use the techniques with little additional programming. The book presents the logic of this program. A smaller program for personal microcomputers for analysis of Fair's United States model is available from Urban Systems Research & Engineering, Inc. Anyone wanting to learn how to use large macroeconomic models, including researchers, graduate students, economic forecasters, and people in business and government both in the United States and abroad, will find this an essential guidebook.