Hayashi's Econometrics promises to be the next great synthesis of modern econometrics. It introduces first year Ph.D. students to standard graduate econometrics material from a modern perspective. It covers all the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. The book is also distinctive in developing both time-series and cross-section analysis fully, giving the reader a unified framework for understanding and integrating results. Econometrics has many useful features and covers all the important topics in econometrics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models (such as probit and tobit) are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient manner. Eight of the ten chapters include a serious empirical application drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises at the end of each chapter provide students a hands-on experience applying the techniques covered in the chapter. The exposition is rigorous yet accessible to students who have a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions, so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text. For those who intend to write a thesis on applied topics, the empirical applications of the book are a good way to learn how to conduct empirical research. For the theoretically inclined, the no-compromise treatment of the basic techniques is a good preparation for more advanced theory courses.
Author: Hamid Seddighi,K. A. Lawler,Anastasios V. Katos
Publisher: Psychology Press
Category: Business & Economics
Recognising the fact that A level mathematics is no longer a necessary prerequisite for economics courses, this text introduces this key subdivision of economics to an audience who might otherwise have been deterred by its complexity.
Originally published in 1951, this volume reprints the classic work written by one of the leading global econometricians. Econometrics is structured as followed: Part 1 explains the relationship of Econometrics to Economics and Statistics. Part 2 outlines the process of formulating economic hypotheses mathematically and of subjecting them to a statistical test. Part 3 deals with the various component equations of the economic system - the psychic reactions, technical relations and reactions of business life and describes the process of setting up an economic model of the system as a whole. Part 4 llustrates the use of econometric methods for policy purposes.
A thorough treatment of basic econometric methods and their underlying assumptions. This textbook also includes a simple and concise treatment of more advanced topics in time-series, limited dependent variables and panel data models, as well as specification testing, Gauss-Newton regressions and regression diagnostics. The strength of this book lies in its ability to present difficult material in a simple, yet rigorous manner. Exercises in each chapter contain theoretical problems that supplement the understanding of the material. In addition, a set of empirical illustrations demonstrate some of the basic results learned, and all empirical exercises are solved using various econometric software packages.
Theorien verstehen und Techniken anwenden Was haben die Gehälter von Spitzensportlern und der Mindestlohn gemeinsam? Richtig, man kann sie mit Ökonometrie erforschen. Im Buch steht, wie es geht. Und nicht nur dafür, sondern für viele weitere Gebiete lohnt es sich, der zunächst etwas trocken und sperrig anmutenden Materie eine Chance zu geben. Lernen Sie von den Autoren, wie Sie spannende Fragen formulieren, passende Variablen festlegen, treffsichere Modelle entwerfen und Ihre Aussagen auf Herz und Nieren prüfen. Werden Sie sicher im Umgang mit Hypothesentests, Regressionsmodellen, Logit- & Probit-Modellen und allen weiteren gängigen Methoden der Ökonometrie. So begleitet Ökonometrie für Dummies Sie Schritt für Schritt und mit vielen Beispielen samt R Output durch dieses spannende Thema.
Ökonometrie; nicht nur der Begriff ist etwas sperrig, auch die Inhalte erschließen sich nicht jedem sofort. Wichtig und interessant ist sie aber trotzdem. Roberto Pedace erklärt Ihnen, worum es in der Ökonometrie geht, wie Sie Test-Hypothesen aufstellen und vieles mehr. Er erläutert, wie Sie mit Regressionsmodellen arbeiten und mit diskreten und abhängigen Variablen umgehen. Gegen Ende des Buches geht er über die Basismodelle hinaus und führt Sie in statische und dynamische Modelle sowie die Kunst der Vorhersagen ein.
Economists are regularly confronted with results of quantitative economics research. Econometrics: Theory and Applications with EViews provides a broad introduction to quantitative economic methods, for example how models arise, their underlying assumptions and how estimates of parameters or other economic quantities are computed. The author combines econometric theory with practice by demonstrating its use with the software package EViews through extensive use of screen shots. The emphasis is on understanding how to select the right method of analysis for a given situation, and how to actually apply the theoretical methodology correctly. The EViews software package is available from 'Quantitive Micro Software'. Written for any undergraduate or postgraduate course in Econometrics.
Discover how empirical researchers today actually think about and apply econometric methods with the practical, professional approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Unlike traditional books, this unique presentation demonstrates how econometrics has moved beyond just a set of abstract tools to become genuinely useful for answering questions in business, policy evaluation, and forecasting environments. INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with timely, relevant applications, the book introduces the latest emerging developments in the field. Gain a full understanding of the impact of econometrics in real practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
"The economic expert has become a central figure in virtually every antitrust litigation or merger matter, and the importance of econometrics has increased significantly. A basic understanding of econometric principles has now become almost essential to the serious antitrust practitioner. This volume is designed to introduce lawyers to the theoretical and practical issues of econometrics, providing necessary tools for working effectively with economic experts on both sides of a matter." -- from the Foreword, p. xv.
Econometrics 2nd edition is designed as a complete text in econometric methods for intermediate and advanced undergraduates. The text builds from the classical regression model to cover large sample theory, disturbance problems and generalised least squares, formation estimation and testing of dynamic models, multivariate and dynamic multivariate models and limited dependent variable models. Instructor's Manual (0-13-589482-4).
This book aims to fill the gaps in the typical student's mathematical training to the extent relevant for the study of econometrics. In most cases, proofs are provided and there is a verbal discussion of certain mathematical results.
James J. Heckman is the Henry Schultz Distinguished Service Professor of Economics at The University of Chicago. Professor Leamer is a Fellow of the American Academy of Arts and Sciences, and a Fellow of the Econometric Society.
This book confronts the practical problems of modelling aggregate time series data, in a systematic and intergrated framework.The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The primary aim of this book is to develop an operational econometric approach which allows constructive modelling. Professor Hendry deals withmethodological issues (model discovery, data mining, and progressive research strategies); with major tools for modelling (recursive methods, encompassing, super exogeneity, invariance tests); and with practical problems (collinearity, heteroscedasticity, and measurement errors). He also includesan extensive study of US money demand.The book is self-contained, with the technical background covered in appendices. It is thus suitable for first year graduate students, and includes solved examples and exercises to facilitate its use in teaching.
This text prepares first-year graduate students and advanced undergraduates for empirical research in economics, and also equips them for specialization in econometric theory, business, and sociology. A Course in Econometrics is likely to be the text most thoroughly attuned to the needs of your students. Derived from the course taught by Arthur S. Goldberger at the University of Wisconsin-Madison and at Stanford University, it is specifically designed for use over two semesters, offers students the most thorough grounding in introductory statistical inference, and offers a substantial amount of interpretive material. The text brims with insights, strikes a balance between rigor and intuition, and provokes students to form their own critical opinions. A Course in Econometrics thoroughly covers the fundamentalsâe"classical regression and simultaneous equationsâe"and offers clear and logical explorations of asymptotic theory and nonlinear regression. To accommodate students with various levels of preparation, the text opens with a thorough review of statistical concepts and methods, then proceeds to the regression model and its variants. Bold subheadings introduce and highlight key concepts throughout each chapter. Each chapter concludes with a set of exercises specifically designed to reinforce and extend the material covered. Many of the exercises include real micro-data analyses, and all are ideally suited to use as homework and test questions.
"Ceteris Paribus" is a natural response to conjunctural economic decisions. The unicist ontology of evolution provided the structural conceptual tools to develop economic applications. Unicist econometrics provides the structural knowledge to build long-term economic forecasts and short-term analysis to predict evolution. It destroys the "ceteris paribus" thinking as a fallacious short cut to develop solutions that sound logical. Unicist Econometrics provides the reliable models to diagnose and influence micro and macroeconomics, melting their boundaries in a sole unified field: human's economic behavior. The integration of the unicist approach with conventional econometrics made diagnostics of countries, markets and businesses highly reliable. While Fundamentals provide the limits of the actual possibilities and catalyze trends, Technical Analysis provides the information that ensures short-term prognostics and the monitoring of the triggers and drivers of evolution. The unicist approach helps to define the possibilities and conventional econometrics defines the operational probabilities. Unicist Econometrics solved the limitation of the dualistic approach of econometrics. It included an integrative dimension based on the unicist ontology of evolution that made an approach to the nature of economics possible. It includes the unicist ontology of price elasticity of demand that has been researched to influence its nature.
"A collection of proofs of fundamental theorems, this volume utilizes a format that is exhaustive and consistent. Every result covered in ``Econometrics''is proved as well as stated. One notation system is used throughout the volume. The topics included in the book cover such areas as estimations and testing in linear regression models under various sets of assumptions, and estimation and testing in simultaneous equations models. The latter subject is treated more extensively than in most econometrics books, and the entire volume is characterized by its rigorous level of examination. "