Author : Keith Cuthbertson
Publisher :
Page : 296 pages
File Size : 36,93 MB
Release : 1992
Category : Business & Economics
ISBN :
Outlines the practical application of a range of recent econometric techniques
Author : Keith Cuthbertson
Publisher : Philip Allan
Page : 296 pages
File Size : 49,86 MB
Release : 1992
Category : Business & Economics
ISBN :
Applied Econometric Techniques is designed to bridge the gap between textbook theory and the advanced applied work required of professional econometricians. The authors emphasize the intuitive aspects of theoretical results to provide insight into solutions of "real world" applied problems. Drawing on their own experience in working for the Bank of England, the International Monetary Fund, the London Business School, and other public and private organizations, the authors use a wealth of examples to illustrate the pitfalls as well as the advantages of sophisticated applied techniques. An introductory chapter provides a "refresher course" in standard econometrics for the professional econometricians, graduate students, and advanced undergraduates for whom the volume is intended. The authors then present recent theoretical innovations such as co-integration, error correction models, ARCH models, disequilibrium Maximum Likelihood models, and the Kalman Filter. In addition, they discuss the underlying philosophy of dynamic modeling that has grown out of the work of several economists at the London School of Economics.
Author : Sloboda, Brian W.
Publisher : IGI Global
Page : 264 pages
File Size : 40,38 MB
Release : 2020-06-01
Category : Business & Economics
ISBN : 179981095X
Professionals are constantly searching for competitive solutions to help determine current and future economic tendencies. Econometrics uses statistical methods and real-world data to predict and establish specific trends within business and finance. This analytical method sustains limitless potential, but the necessary research for professionals to understand and implement this approach is lacking. Applied Econometric Analysis: Emerging Research and Opportunities explores the theoretical and practical aspects of detailed econometric theories and applications within economics, political science, public policy, business, and finance. Featuring coverage on a broad range of topics such as cointegration, machine learning, and time series analysis, this book is ideally designed for economists, policymakers, financial analysts, marketers, researchers, academicians, and graduate students seeking research on the various techniques of econometric concepts.
Author : Vivek Ajmani
Publisher : John Wiley & Sons
Page : 414 pages
File Size : 13,19 MB
Release : 2011-09-20
Category : Mathematics
ISBN : 1118210328
The first cutting-edge guide to using the SAS® system for the analysis of econometric data Applied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tools among today's statisticians in business and industry. This book thoroughly examines econometric methods and discusses how data collected in economic studies can easily be analyzed using the SAS® system. In addition to addressing the computational aspects of econometric data analysis, the author provides a statistical foundation by introducing the underlying theory behind each method before delving into the related SAS® routines. The book begins with a basic introduction to econometrics and the relationship between classical regression analysis models and econometric models. Subsequent chapters balance essential concepts with SAS® tools and cover key topics such as: Regression analysis using Proc IML and Proc Reg Hypothesis testing Instrumental variables analysis, with a discussion of measurement errors, the assumptions incorporated into the analysis, and specification tests Heteroscedasticity, including GLS and FGLS estimation, group-wise heteroscedasticity, and GARCH models Panel data analysis Discrete choice models, along with coverage of binary choice models and Poisson regression Duration analysis models Assuming only a working knowledge of SAS®, this book is a one-stop reference for using the software to analyze econometric data. Additional features include complete SAS® code, Proc IML routines plus a tutorial on Proc IML, and an appendix with additional programs and data sets. Applied Econometrics Using the SAS® System serves as a relevant and valuable reference for practitioners in the fields of business, economics, and finance. In addition, most students of econometrics are taught using GAUSS and STATA, yet SAS® is the standard in the working world; therefore, this book is an ideal supplement for upper-undergraduate and graduate courses in statistics, economics, and other social sciences since it prepares readers for real-world careers.
Author : Christian Kleiber
Publisher : Springer Science & Business Media
Page : 229 pages
File Size : 42,67 MB
Release : 2008-12-10
Category : Business & Economics
ISBN : 0387773185
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.
Author : Walter Enders
Publisher : Wiley
Page : 498 pages
File Size : 41,76 MB
Release : 2014-11-03
Category : Business & Economics
ISBN : 9781118918616
Author : Andrew Jones
Publisher : CRC Press
Page : 136 pages
File Size : 26,61 MB
Release : 2007-01-20
Category : Medical
ISBN : 178523014X
"Applied Econometrics for Health Economists" introduces readers to the appropriate econometric techniques for use with different forms of survey data, known collectively as microeconometrics. The book provides a complete illustration of the steps involved in doing microeconometric research. The only study to deal with practical analysis of qualitat
Author : Houston H. Stokes
Publisher : Greenwood
Page : 382 pages
File Size : 37,98 MB
Release : 1991
Category : Business & Economics
ISBN :
This volume discusses and illustrates with output from actual problems a number of applied econometric techniques. Among the specific techniques covered are OLS specification tests, recursive residual analysis, limited dependent variable models, error component models, time series models, and optimal control analysis. For each, the author outlines the basic mathematical models involved, discusses and estimates a sample problem using the B34S Data Analysis System he developed to facilitate the calculations, displays and evaluates the output of the program, and explores follow-up models. The examples selected are taken from a variety of sources and reflect actual applied research. All results are completely documented in the text so that the reader does not need access to the B34S program in order to use the book effectively.
Author : Gilles Dufrénot
Publisher : Springer Nature
Page : 387 pages
File Size : 23,93 MB
Release : 2020-11-21
Category : Business & Economics
ISBN : 3030542521
The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic volatility models, and the econometrics of commodity markets and globalization. Furthermore, it demonstrates the application of recent techniques in various fields: in the frequency domain, in the analysis of persistent dynamics, in the estimation of state space models and new classes of volatility models. The book is divided into two parts: The first part applies econometrics to the field of macroeconomics, discussing trend/cycle decomposition, growth analysis, monetary policy and international trade. The second part applies econometrics to a wide range of topics in financial economics, including price dynamics in equity, commodity and foreign exchange markets and portfolio analysis. The book is essential reading for scholars, students, and practitioners in government and financial institutions interested in applying recent econometric time series methods to financial and economic data.
Author : Christiaan Heij
Publisher : OUP Oxford
Page : 816 pages
File Size : 33,60 MB
Release : 2004-03-25
Category : Business & Economics
ISBN : 0191608408
Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a 'learning by doing' approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). · Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. · Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. · Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. · Derivations and theory exercises are clearly marked for students in advanced courses. This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics.
