Econometrics Books - Page 4

An Introduction to Modern Econometrics Using Stata

Christopher F. Baum

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Total reviews: 2 Average rating: 4.0 of 5

Editorial Review:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata. As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming. Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.

Multilevel and Longitudinal Modeling Using Stata, Second Edition

Sophia Rabe-Hesketh, Anders Skrondal

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Editorial Review:

Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels.

Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. The applications and exercises span a wide range of disciplines, making the book suitable for courses on multilevel and longitudinal modeling in the medical, social, and behavioral sciences and in applied statistics. This extensively revised second edition includes 3 new chapters, comprehensive updates for Stata 10, 38 new exercises, and 27 new data sets.

The authors teach multilevel and longitudinal modeling at their universities and frequently hold workshops at international conferences. They have been developing a general modeling framework, GLLAMM, and Stata software gllamm for multilevel and latent variable modeling. This work has been published in their highly acclaimed book Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models and in many journals, including Biometrics, Psychometrika, Journal of Econometrics, and Journal of the Royal Statistical Society.

The Essential John Nash

John Nash

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Total reviews: 13 Average rating: 4.5 of 5

Editorial Review:

When John Nash won the Nobel prize in economics in 1994, many people were surprised to learn that he was alive and well. Since then, Sylvia Nasar's celebrated biography A Beautiful Mind, the basis of a new major motion picture, has revealed the man. The Essential John Nash reveals his work--in his own words. This book presents, for the first time, the full range of Nash's diverse contributions not only to game theory, for which he received the Nobel, but to pure mathematics--from Riemannian geometry and partial differential equations--in which he commands even greater acclaim among academics. Included are nine of Nash's most influential papers, most of them written over the decade beginning in 1949.

From 1959 until his astonishing remission three decades later, the man behind the concepts "Nash equilibrium" and "Nash bargaining"--concepts that today pervade not only economics but nuclear strategy and contract talks in major league sports--had lived in the shadow of a condition diagnosed as paranoid schizophrenia. In the introduction to this book, Nasar recounts how Nash had, by the age of thirty, gone from being a wunderkind at Princeton and a rising mathematical star at MIT to the depths of mental illness.

In his preface, Harold Kuhn offers personal insights on his longtime friend and colleague; and in introductions to several of Nash's papers, he provides scholarly context. In an afterword, Nash describes his current work, and he discusses an error in one of his papers. A photo essay chronicles Nash's career from his student days in Princeton to the present. Also included are Nash's Nobel citation and autobiography.

The Essential John Nash makes it plain why one of Nash's colleagues termed his style of intellectual inquiry as "like lightning striking." All those inspired by Nash's dazzling ideas will welcome this unprecedented opportunity to trace these ideas back to the exceptional mind they came from.

Applied Econometric Time Series, 2nd Edition

Walter Enders

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Customer Reviews:
Total reviews: 13 Average rating: 4.5 of 5

Excellent as a practical quide - a must have handbook - recent development are here too 5 out of 5 stars.
3 of 3 people found this review helpful.

I bought this book as an introductory reading to time series. And found it very easy to understand, both the theoretical explanations and practical applications. I think it is a "must have handbook" for any economics student. The last edition also covers the recent panel unit root tests, not the 2nd generation ones but Im, Pesaran, Shin panel test is explanained pretty well. Graphical illustrations of series and visual detection of possible problems are nice for beginners. Also, shows how to analyze data step-by-step with plenty of examples. In overall I think it is a great investment for those doing empirical studies and/or starting to learn/work with time series.

Editorial Review:

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The first edition of Applied Econometric Time Series was among those chosen.

This new edition reflects recent advances in time-series econometrics, such as out-of-sample forecasting techniques, non-linear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate various techniques.

The ABCs of RBCs: An Introduction to Dynamic Macroeconomic Models

George McCandless

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Total reviews: 1 Average rating: 4.0 of 5

Editorial Review:

The ABCs of RBCs is the first book to provide a basic introduction to Real Business Cycle (RBC) and New-Keynesian models. These models argue that random shocks—new inventions, droughts, and wars, in the case of pure RBC models, and monetary and fiscal policy and international investor risk aversion, in more open interpretations—can trigger booms and recessions and can account for much of observed output volatility.

George McCandless works through a sequence of these Real Business Cycle and New-Keynesian dynamic stochastic general equilibrium models in fine detail, showing how to solve them, and how to add important extensions to the basic model, such as money, price and wage rigidities, financial markets, and an open economy. The impulse response functions of each new model show how the added feature changes the dynamics.

The ABCs of RBCs is designed to teach the economic practitioner or student how to build simple RBC models. Matlab code for solving many of the models is provided, and careful readers should be able to construct, solve, and use their own models.

In the tradition of the “freshwater” economic schools of Chicago and Minnesota, McCandless enhances the methods and sophistication of current macroeconomic modeling.

Principles of Econometrics

R. Carter Hill, William E. Griffiths, Guay C. Lim

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Total reviews: 5 Average rating: 4.0 of 5

carter makes me not-so-afraid of metrics... 4 out of 5 stars.
10 of 11 people found this review helpful.

this is one of those econometrics (i'll call it "metrics" from now on to save on typing) books which you know has to cover alot of the slow, boring stuff which lecturers expect students to know by the time they take metrics options and hated by undergraduates. having said that, this book does it quite well. one thing i hate in metrics texts is dense mathematical proofs. especially proofs which assume the reader knows other proofs intimately. this book nicely avoids that, dropping in an adequate and useful amount of proofs, especially the Gauss-Markov Theorem and a proof of why OLS estimation outshines any other method in simple regression analysis. the book does this without being overwhelming - in my opinion, mathematics has to be appreciated through discussion and argument, which Hill et al do quite admirably. Also, metrics is about interpretation of results, not just calculating them, and this book keeps that in mind very well from beginning to end. The reason i gave this book 4 stars is simple. when i was doing my last minute cramming for exams, i was able to move through the book quickly and easily, whilst still appreciating the main points, the big picture, and also the subtleties of more advanced topics like GLS, moments-based estimation and distributed lags in a short space of time. the book also comes with useful end-of-chapter "should know" points and problems. the best thing about the problems is the "real-world" nature of the tasks, often drawing on real-life data and economic intuition. using that data and being able to become comfortable with computer techniques is the most vital thing to a beneficial study of metrics. i found gujarati's "basic econometrics" a nice companion to this book (but then again everyone likes gujarati to some extent), but mostly i was satisfied with this book as a stand-alone manual to second-year metrics studies, good for laying the foundations for studies in topics like maximum likelihood estimation and financial econometrics. oh, and it's small and not too heavy. good for carrying around to classes all day!

Editorial Review:

Principles of Econometrics clearly shows why econometrics is necessary and provides you with the ability to utilize basic econometric tools. You'll learn how to apply these tools to estimation, inference, and forecasting in the context of real world economic problems. In order to make concepts more accessible, the authors offer lucid descriptions of techniques as well as appropriate applications to today's situations. Along the way, you'll find introductions to simple economic models and questions to enhance critical thinking.

An Introduction to High-Frequency Finance

Michel M. Dacorogna, Ramazan Gençay, Ulrich A. Müller, Richard B. Olsen, Olivier V. Pictet

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Total reviews: 5 Average rating: 4.5 of 5

Editorial Review:

Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.
This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

Numerical Methods in Economics

Kenneth L. Judd

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Editorial Review:

Honorable Mention in the category of Economics in the 1998 Professional/Scholarly Publishing Annual Awards Competition presented by the Association of American Publishers, Inc.

To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses.

The book is divided into five parts. Part I provides a general introduction. Part II presents basics from numerical analysis on R^n,including linear equations, iterative methods, optimization, nonlinear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods. Part III covers methods for dynamic problems, including finite difference methods, projection methods, and numerical dynamic programming. Part IV covers perturbation and asymptotic solution methods. Finally, Part V covers applications to dynamic equilibrium analysis, including solution methods for perfect foresight models and rational expectation models. A web site contains supplementary material including programs and answers to exercises.

The Global City

Saskia Sassen

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Total reviews: 6 Average rating: 3.5 of 5

History was VERY unkind to this book.... 2 out of 5 stars.
22 of 40 people found this review helpful.

This is a sad book. History was very unkkind to this woman. Just when she thought she completed here masterpiece, a book that was supposed to ensure her tenure and fame and all the things that a sociologist may want, everything blew up in her face.

Her theory in the original version went like this; Why oh why are there huge concentration of functions in Tokyo, London, New York, when so much IT allows easier communication and remote office and all that? Why do these cities grow, when all the production and other functions gets shipped off to backwater countries?

Well, she said, IT allowed the separation of production and management/development. That's why managers remain in cities with their high pay, while actual sweat work goes to third world child labor under measly wages.

But why did the cities grow bigger? Well, because cities are the new production centers. Management and stuff requires a lot of legal services and accountants and other services etc that are much easily available in the cities. That's why all those management stuff accumulated in the city.

But aren't those activites just leeches to the actual job? They don't create any new value, do they? Aha, she says. But they do! Look at all those financial innovations, like hedge funds and derivatives and stuff! Look how much money they are making! They are not leeches, they are creating new values. You gotta throw away your old ideas about the economy! Only cities can produce that sort of new financial products, and that's why London, NY, Tokyo are growing!

There was another brownie point. Her theory went very well with shallow anti-globalism arguments. Managers stay in NY/London with high pays, while at the factories half way around the globe, workers suffer forever under low wage.

But exactly when the first edition came out, everything changed.

First was the collapse of the Japanese economy, that took down Tokyo with it. Her theory had nothing to prepare or explain this. What happened to the new production? What happened to all those financial innovation? Why didn't that work in Tokyo? In the book, Sassen tries to answer this using various ad-hoc excuses, but the more she does it, the less convincing the original proposition becomes. So it wasn't THAT important, after all? All those theories of yours were only subordinate to those other stuff that you never mentioned before?

And yes, what about those innovations? Collapse of LTCM and huge hedge funds etc. since the first edition made finance less glamorous. Arbitrage does increase some efficiency of the market, which does create some value. But they were not the major new "product" to sustain the world.

Her theory about the separation of production and management wasn't so hot afterall. Look at Asia, look at China! Concentration of production functions REQUIRED many management and design / development functions to go along with them. Also, the factories did make the workers richer, and as a result, much of Asia and China really became better off. There are dicrepancies, and differences in earnings, but its nothing like what Sassen had described.

It's amazing that NOTHING of here original theory remained. In this second version, she tries to pick up the pieces, but they are too completely destroyed to be picked up, and the effort is almost painful to read. I wonder why she even bothered with the second edition. It's not a book worth salvaging in 2001, and it's hardly worth reading, except as a sad but amusing look back at the strange ideas of the past.

Editorial Review:

This classic work chronicles how New York, London, and Tokyo became command centers for the global economy and in the process underwent a series of massive and parallel changes. What distinguishes Sassen's theoretical framework is the emphasis on the formation of cross-border dynamics through which these cities and the growing number of other global cities begin to form strategic transnational networks. All the core data in this new edition have been updated, while the preface and epilogue discuss the relevant trends in globalization since the book originally came out in 1991.

Mostly Harmless Econometrics: An Empiricist's Companion

Joshua D. Angrist, Jorn-Steffen Pischke

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Editorial Review:

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.

In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.

• An irreverent review of econometric essentials
• A focus on tools that applied researchers use most
• Chapters on regression-discontinuity designs, quantile regression, and standard errors
• Many empirical examples
• A clear and concise resource with wide applications