The Theory And Practice Of Econometrics
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| Author | : George G. Judge |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1062 |
| Release | : 1991-01-16 |
| Genre | : Business & Economics |
| ISBN | : 047189530X |
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.
| Author | : P. C. B. Phillips |
| Publisher | : Cambridge University Press |
| Total Pages | : 390 |
| Release | : 2006-01-09 |
| Genre | : Business & Economics |
| ISBN | : 9780521807234 |
The essays in this book explore important theoretical and applied advances in econometrics.
| Author | : Panchanan Das |
| Publisher | : Springer Nature |
| Total Pages | : 565 |
| Release | : 2019-09-05 |
| Genre | : Business & Economics |
| ISBN | : 9813290196 |
This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.
| Author | : Qi Li |
| Publisher | : Princeton University Press |
| Total Pages | : 769 |
| Release | : 2011-10-09 |
| Genre | : Business & Economics |
| ISBN | : 1400841062 |
A comprehensive, up-to-date textbook on nonparametric methods for students and researchers Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep pace with these emerging methods of economic analysis. Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and techniques and presenting them in a remarkably straightforward and accessible format. The empirical tests, data, and exercises included in this textbook help make it the ideal introduction for graduate students and an indispensable resource for researchers. Nonparametric and semiparametric methods have attracted a great deal of attention from statisticians in recent decades. While the majority of existing books on the subject operate from the presumption that the underlying data is strictly continuous in nature, more often than not social scientists deal with categorical data—nominal and ordinal—in applied settings. The conventional nonparametric approach to dealing with the presence of discrete variables is acknowledged to be unsatisfactory. This book is tailored to the needs of applied econometricians and social scientists. Qi Li and Jeffrey Racine emphasize nonparametric techniques suited to the rich array of data types—continuous, nominal, and ordinal—within one coherent framework. They also emphasize the properties of nonparametric estimators in the presence of potentially irrelevant variables. Nonparametric Econometrics covers all the material necessary to understand and apply nonparametric methods for real-world problems.
| Author | : George G. Judge |
| Publisher | : |
| Total Pages | : 1082 |
| Release | : 1988-03-31 |
| Genre | : Business & Economics |
| ISBN | : |
The second edition of this introduction to econometrics retains its comprehensive approach and includes new material such as a complete treatment of Bayesian inference, sampling theory, an appendix on linear algebra, and a computer handbook.
| Author | : Russell Davidson |
| Publisher | : OUP Oxford |
| Total Pages | : 768 |
| Release | : 2009-04-30 |
| Genre | : Business & Economics |
| ISBN | : 9780195391053 |
Econometric Theory and Methods International Edition provides a unified treatment of modern econometric theory and practical econometric methods. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. Simulation methods, including the bootstrap, are introduced early and used extensively. The book deals with a large number of modern topics. In addition to bootstrap and Monte Carlo tests, these include sandwich covariance matrix estimators, artificial regressions, estimating functions and the generalized method of moments, indirect inference, and kernel estimation. Every chapter incorporates numerous exercises, some theoretical, some empirical, and many involving simulation.
| Author | : Patrick K. Watson |
| Publisher | : |
| Total Pages | : 332 |
| Release | : 2002 |
| Genre | : Business & Economics |
| ISBN | : 9789766401221 |
An introduction to the theory and practice of classical and modern econometric methods. It seeks to help the reader: understand the scope and limitations of econometrics; read, write and interpret articles and reports of an applied econometric nature; and to build upon the elements introduced.
| Author | : John Y. Campbell |
| Publisher | : Princeton University Press |
| Total Pages | : 630 |
| Release | : 2012-06-28 |
| Genre | : Business & Economics |
| ISBN | : 1400830214 |
The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.
| Author | : |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 1989 |
| Genre | : |
| ISBN | : |
| Author | : Neeraj R Hatekar |
| Publisher | : SAGE Publications |
| Total Pages | : 462 |
| Release | : 2010-11-10 |
| Genre | : Business & Economics |
| ISBN | : 8132104692 |
This textbook makes learning the basic principles of econometrics easy for all undergraduate and graduate students of economics. It takes the readers step-by-step from introduction to understanding, first introducing the basic statistical tools like concepts of probability, statistical distributions, and hypothesis tests, and then going on to explain the two variable linear regression models along with certain additional tools like use of dummy variables, various data transformations amongst others. The most innovative feature of this textbook is that it familiarizes students with the role of R, which is a flexible and popular programming language. With its help, the student will be able to implement a linear regression model and deal with the associated problems with substantial confidence.
