Learning Econometrics With R


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Applied Econometrics with R


Applied Econometrics with R

Author: Christian Kleiber

language: en

Publisher: Springer Science & Business Media

Release Date: 2008-12-10


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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.

Learning Microeconometrics with R


Learning Microeconometrics with R

Author: Christopher P. Adams

language: en

Publisher: CRC Press

Release Date: 2020-12-29


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This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It is aimed at the general reader with the equivalent of a bachelor’s degree in economics, statistics or some more technical field. It covers the standard tools of microeconometrics, OLS, instrumental variables, Heckman selection and difference in difference. In addition, it introduces bounds, factor models, mixture models and empirical Bayesian analysis. Key Features: Focuses on the assumptions underlying the algorithms rather than their statistical properties. Presents cutting-edge analysis of factor models and finite mixture models. Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately. Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems. Introduces R programming concepts throughout the book. Includes appendices that discuss some of the standard statistical concepts and R programming used in the book.

Introduction to Econometrics


Introduction to Econometrics

Author: James H. Stock

language: en

Publisher:

Release Date: 2014-09-09


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For courses in Introductory Econometrics Engaging applications bring the theory and practice of modern econometrics to life Ensure students grasp the relevance of econometrics with Introduction to Econometrics-the text that connects modern theory and practice with motivating, engaging applications. The Third Edition Update maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. This program provides a better teaching and learning experience-for you and your students. Here's how: * Keeping it current with new and updated discussions on topics of particular interest to today's students. * Presenting consistency through theory that matches application. * Offering a full array of pedagogical features. MyEconLab(R) is not included. Students, if MyEconLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. MyEconLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyEconLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results.With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.