Distributed Lags

Distributed Lags

Author: Phoebus J. Dhrymes

Publisher: North Holland

Published: 1981

Total Pages: 492

ISBN-13:

DOWNLOAD EBOOK

This volume presents an analysis of the estimation of distributed lag models. It covers the algebraic structure of lag operators and examines the estimation of problems connected with finite and infinite lag structures, under a variety of assumptions pertaining to the error process. This revised edition emphasizes the potential applications of distributed lags, discussing the polynomial lag hypothesis and its relation to restricted least squares. Also, the test for autocorrelation of the error structure, when the model specification contains a lagged endogenous variable, is examined. The material is suitable for second-year graduate students in economics, and for undergraduates in statistics, mathematics, operations research, econometrics and electrical engineering, providing they have a background in calculus, linear algebra and mathematical statistics.


Developing Econometrics

Developing Econometrics

Author: Hengqing Tong

Publisher: John Wiley & Sons

Published: 2011-12-12

Total Pages: 489

ISBN-13: 0470681772

DOWNLOAD EBOOK

Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.


Econometrics

Econometrics

Author: Badi H. Baltagi

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 405

ISBN-13: 3662046938

DOWNLOAD EBOOK

This book is intended for a first year graduate course in econometrics. However, the first six chapters have no matrix algebra and can be used in an advanced undergraduate class. This can be supplemented by some of the material in later chapters that do not require matrix algebra, like the first part of Chapter 11 on simultaneous equations and Chapter 14 on time-series analysis. This book teaches some of the basic econometric methods and the underlying assumptions behind them. Estimation, hypotheses testing and prediction are three recurrent themes in this book. Some uses of econometric methods include (i) empirical testing of economic t- ory, whether it is the permanent income consumption theory or purchasing power parity, (ii) forecasting, whether it is GNP or unemployment in the U.S. economy or future sales in the c- puter industry. (iii) Estimation of price elasticities of demand, or returns to scale in production. More importantly, econometric methods can be used to simulate the effect of policy changes like a tax increase on gasoline consumption, or a ban on advertising on cigarette consumption.


The Theory and Practice of Econometrics

The Theory and Practice of Econometrics

Author: George G. Judge

Publisher: John Wiley & Sons

Published: 1991-01-16

Total Pages: 1062

ISBN-13: 047189530X

DOWNLOAD EBOOK

This broadly based graduate-level textbook covers the major models and statistical tools currently used in the practice of econometrics. It examines the classical, the decision theory, and the Bayesian approaches, and contains material on single equation and simultaneous equation econometric models. Includes an extensive reference list for each topic.


Econometrics,2nd Rev.Ed

Econometrics,2nd Rev.Ed

Author: Badi Hani Baltagi

Publisher: Springer Science & Business Media

Published: 1998

Total Pages: 416

ISBN-13: 9783540780748

DOWNLOAD EBOOK

This reference introduces the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in time-series, spatial correlation, limited dependent variables and panel data models, as well as specification testing, Gauss-Newton regressions and regression diagnostics. The strengths of this book lie in presenting difficult material in a simple, yet rigorous manner. In addition, the book features a set of empirical illustrations that demonstrate some of the basic results. The empirical exercises are solved using several econometric software packages.


Urban Morphology and Housing Market

Urban Morphology and Housing Market

Author: Yang Xiao

Publisher: Springer

Published: 2016-11-21

Total Pages: 199

ISBN-13: 9811027625

DOWNLOAD EBOOK

This book is devoted to fill the ‘urban economics niche’ and conceptualize a framework for valuing the urban configuration via local housing market. Advanced network analysis techniques are employed to capture the centrality features hindered in street layout. The author explores the several effects of urban morphology via housing market over two distinct contexts: UK and China. This work will appeal to a wide readership from scholars and practitioner to policy makers within the fields of real estate analysis, urban and regional studies, urban planning, urban design and economic geography.


Applied Regression Analysis in Econometrics

Applied Regression Analysis in Econometrics

Author: Howard E. Doran

Publisher: CRC Press

Published: 1989-04-24

Total Pages: 400

ISBN-13: 9780824780494

DOWNLOAD EBOOK

A textbook for a one-semester course for advanced undergraduate and graduate students in economics. Covers regression techniques in the context of single equation econometric models, featuring MINITAB and SHAZAM software examples for attacking real-world problems. Annotation copyright Book News, Inc


The Measurement of Monetary Policy

The Measurement of Monetary Policy

Author: M. Ray Perryman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 147

ISBN-13: 9400966644

DOWNLOAD EBOOK

The material in this book reflects, in many respects, the culmination of several years of research regarding the measurement of monetary policy. On all the issues addressed in the text, I have thus attempted to provide a perspective of the type that can only be gained from "living with" a topic over an extended time horizon. I have often said that I came to understand the monetary indicators literature only after having written dozens of papers on the subject. This statement may seem a bit trite, but I feel certain that anyone who has waded through this morass (or at least tried to) can fully empathize and recognize the grain of truth therein. It is my sincere hope that the synthesis given in the work will calm the fears and anxieties that often (and understandably) plague beginners in this field. In settling down to the process of "pulling together" this manuscript, I was surprised to find the ease and consistency with which various topics, explored at widely diverse times and in no particular order, meshed into a unified whole. I attempted to write the book in a manner that would simultaneously be generally comprehensible to students (particularly at the graduate level) and to practitioners desiring a relatively thorough overview of the indicators literature and yet be of value to scholars desiring to explore (and hopefully advance) this field.


Dynamic Model Analysis

Dynamic Model Analysis

Author: Mario Faliva

Publisher: Springer Science & Business Media

Published: 2008-10-24

Total Pages: 225

ISBN-13: 3540859969

DOWNLOAD EBOOK

This second edition sees the light three years after the first one: too short a time to feel seriously concerned to redesign the entire book, but sufficient to be challenged by the prospect of sharpening our investigation on the working of econometric dynamic models and to be inclined to change the title of the new edition by dropping the “Topics in” of the former edition. After considerable soul searching we agreed to include several results related to topics already covered, as well as additional sections devoted to new and sophisticated techniques, which hinge mostly on the latest research work on linear matrix polynomials by the second author. This explains the growth of chapter one and the deeper insight into representation theorems in the last chapter of the book. The rôle of the second chapter is that of providing a bridge between the mathematical techniques in the backstage and the econometric profiles in the forefront of dynamic modelling. For this purpose, we decided to add a new section where the reader can find the stochastic rationale of vector autoregressive specifications in econometrics. The third (and last) chapter improves on that of the first edition by re- ing the fruits of the thorough analytic equipment previously drawn up.


Probability Theory and Statistical Inference

Probability Theory and Statistical Inference

Author: Aris Spanos

Publisher: Cambridge University Press

Published: 2019-09-19

Total Pages: 787

ISBN-13: 1316946509

DOWNLOAD EBOOK

Doubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical mis-specification: invalid probabilistic assumptions imposed on data. Now in its second edition, this bestselling textbook offers a comprehensive course in empirical research methods, teaching the probabilistic and statistical foundations that enable the specification and validation of statistical models, providing the basis for an informed implementation of statistical procedure to secure the trustworthiness of evidence. Each chapter has been thoroughly updated, accounting for developments in the field and the author's own research. The comprehensive scope of the textbook has been expanded by the addition of a new chapter on the Linear Regression and related statistical models. This new edition is now more accessible to students of disciplines beyond economics and includes more pedagogical features, with an increased number of examples as well as review questions and exercises at the end of each chapter.