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Author: Tam Bang Vu
Publisher: Business Expert Press
ISBN: 1631576879
Category : Business & Economics
Languages : en
Pages : 156
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Book Description
Econometrics for Daily Lives helps you collect data and analyze the relationship among numerous factors facing you in your everyday activities. This first volume comprises two parts. Part I reviews basic statistics and introduces the most elementary topics in econometrics, including simple regressions and multiple regressions. Part II discusses several problems arisen in data analyses, one problem at a time, so that you can learn to deal with each problem without having to master advanced topics in econometrics. The volume is full of examples and practical guidance on how to perform data analyses using Microsoft Excel.
Author: Tam Bang Vu
Publisher: Business Expert Press
ISBN: 1631576879
Category : Business & Economics
Languages : en
Pages : 156
Get Book Here
Book Description
Econometrics for Daily Lives helps you collect data and analyze the relationship among numerous factors facing you in your everyday activities. This first volume comprises two parts. Part I reviews basic statistics and introduces the most elementary topics in econometrics, including simple regressions and multiple regressions. Part II discusses several problems arisen in data analyses, one problem at a time, so that you can learn to deal with each problem without having to master advanced topics in econometrics. The volume is full of examples and practical guidance on how to perform data analyses using Microsoft Excel.
Author: Tam Bang Vu
Publisher: Business Expert Press
ISBN: 1631576895
Category : Business & Economics
Languages : en
Pages : 112
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Book Description
This volume deals with advanced topics and specific problems in applied econometrics. Part III introduces advanced topics in econometric theory and contains three chapters. Chapter 7 deals with modeling issues and some phenomena that occur when the dataset you have collected has certain problems that need special attention for your results to be reliable. Chapter 8 analyzes the concepts and models that are not linear in their forms. Chapter 9 introduces several interesting models in advanced time-series techniques when a dataset is not stationary. Part IV applies the theoretical concepts learned in the previous chapters into empirical research. This part also consists of three chapters. Chapter 10 discusses the problem of selection bias and correcting methods. Chapter 11 introduces the regression discontinuity design and differences-in-differences models. Chapter 12 presents steps to carry out an empirical research project and provides strategies to avoid pitfalls in applied econometrics.
Author: Neeraj R Hatekar
Publisher: SAGE Publications Ltd
ISBN: 8132104692
Category : Business & Economics
Languages : en
Pages : 462
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Book Description
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.
Author: Jeffrey Zax
Publisher: Stanford University Press
ISBN: 0804777209
Category : Business & Economics
Languages : en
Pages : 673
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Book Description
Introductory Econometrics: Intuition, Proof, and Practice attempts to distill econometrics into a form that preserves its essence, but that is acceptable—and even appealing—to the student's intellectual palate. This book insists on rigor when it is essential, but it emphasizes intuition and seizes upon entertainment wherever possible. Introductory Econometrics is motivated by three beliefs. First, students are, perhaps despite themselves, interested in questions that only econometrics can answer. Second, through these answers, they can come to understand, appreciate, and even enjoy the enterprise of econometrics. Third, this text, which presents select innovations in presentation and practice, can provoke readers' interest and encourage the responsible and insightful application of econometric techniques. In particular, author Jeffrey S. Zax gives readers many opportunities to practice proofs—which are challenging, but which he has found to improve student comprehension. Learning from proofs gives readers an organic understanding of the message behind the numbers, a message that will benefit them as they come across statistics in their daily lives. An ideal core text for foundational econometrics courses, this book is appropriate for any student with a solid understanding of basic algebra—and a willingness to use that tool to investigate complicated issues.
Author: Aaron D. Smith
Publisher: Univ of California Press
ISBN: 0520288335
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
Why Care About Causation?
Author: Tam Bang Vu
Publisher:
ISBN: 9781631576867
Category : Econometrics
Languages : en
Pages : 0
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Book Description
Econometrics for Daily Lives helps you collect data and analyze the relationship among numerous factors facing you in your everyday activities. This first volume comprises two parts. Part I reviews basic statistics and introduces the most elementary topics in econometrics, including simple regressions and multiple regressions. Part II discusses several problems arisen in data analyses, one problem at a time, so that you can learn to deal with each problem without having to master advanced topics in econometrics. The volume is full of examples and practical guidance on how to perform data analyses using Microsoft Excel.
Author: Roger Koenker
Publisher: Cambridge University Press
ISBN: 1139444719
Category : Business & Economics
Languages : en
Pages : 367
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Book Description
Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.
Author: Schmidt
Publisher: CRC Press
ISBN: 9780824787356
Category : Mathematics
Languages : en
Pages : 284
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Book Description
"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. "
Author: Christian Kleiber
Publisher: Springer Science & Business Media
ISBN: 0387773185
Category : Business & Economics
Languages : en
Pages : 229
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Book Description
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: Christopher A. Sims
Publisher: Cambridge University Press
ISBN: 9780521566094
Category : Business & Economics
Languages : en
Pages : 434
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Book Description
This 1994 two-volume set of articles reflects the state of research in theoretical and applied econometrics. The topics covered include time series methods, semiparametric methods, seasonality, financial economics, model solution techniques, economic development and labour economics.
