Book Description
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.
Customer Reviews:
Microeconometrics.......2007-03-24
The book is useful for current line of microeconometric research. However, its presentation is similar to Greene (Econometrics Analysis). So if you are not comfortable with Green this text will not be best for you.
An A-Z reference.......2007-01-11
If you want a book for microeconometrics such than whenever you need to look at a topic or subjects related to a topic, this is your book. If you need a very deep and comprehensive discussion about a topic, you need more than this. It may be not sufficient, but for sure it is a necessary book for anyone who does applied econometrics. I enjoy reading this book.
Great Book.......2006-11-10
The book pretty much covers everything (at more than a basic level) that econometricians would ideally like to know. I think covering so much material in a single book makes it ideal!!
Great Book, Some Errors.......2006-06-25
I was a graduate student enrolled in another reviewer's Econometrics class, and the course was designed largely around this text. I highly recommend it for applied microeconomic topics. Microeconometrics is more current and more comprehensive than any other Econometrics text out there. However, it is definitely a first edition. There are typos and errors throughout.
The book was published in 2005, and it discusses articles published as late as 2004. This is the only text I know of to react to the 2004 Bertrand, Duflo, and Mullainathan article about understated standard errors in DD models.
The volume of econometric techniques presented in detail is immense. See for yourself; "Search Inside," and browse the contents pages for this book, the Greene text, and the Wooldridge text.
Microeconometrics does at times read like a "cookbook," with appropriate assumptions and derivations interlaced throughout. It favors intuition and rules over rigor. This bothered some of the theory fans in class, who probably would have preferred the Greene or Wooldridge texts.
If you buy this book, definitely keep up with the "Corrections and Additions" posted on the author's website. There are a lot of typos, especially in the later chapters' exercises and problems. Near the end of our course, our problem sets started coming from the Wooldridge text (also a first edition, yet more carefully edited).
Microeconometrics works best in tandem with either of the Greene or Wooldridge texts, but if I were to recommend one over the others, I would direct you to Microeconometrics. If you have a "How do I deal with ..." type of econometric question, you're most likely to find the answer in this book.
Fantastic Book for Empirical Economists.......2006-02-10
I am using this text to teach a first-year graduate course in econometrics (following a mathematical stats course) at the University of Florida. Myself and my students have been very happy with the intuitive approach of the book, and I have personally appreciated the good end-of-chapter problems that I can assign to my students. This is a GREAT addition to my library and should be on the shelf of any grad student who works with data.
Book Description
APPLIED REGRESSION ANALYSIS applies regression to real data and examples while employing commercial statistical and spreadsheet software. Covering the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis, the text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.
Customer Reviews:
Great Minitab Resource.......2007-05-15
Dr. Dielman was a professor of mine. The book is well organized and useful for all people on all levels.
Excellent.......2006-12-26
For my class, the professor assigned Kleinbaum et al's textbook rather than this one. As I mentioned in my review for that book, it was so confusing and poorly organized. Luckily, I found this book in the library and used it instead and ended up a lot less confused in class than my classmates who were trying to understand the Kleinbaum book. Dielman's book is very well organized and laid out. It doesn't have colorful bells and whistles since it's a fairly upper level book, but it does have a very user-friendly layout. Furthermore, the formulas are never presented without an accompanying explanation in plain English and examples of how and when to use them. Another thing I really like about this book is that it gives thorough directions on how to do a lot of the analyses on some common statistical packages. Many of the instructions are accompanied by screenshots. They're at the end of each chapter rather than interspersed in the text, which makes them easy to find. This is actually becoming a great SAS manual for me.
For anyone struggling with the Kleinbaum book, or for any instructor considering using the Kleinbaum book, I would highly recommend this one instead.
A Cross-platform textbook.......2006-05-15
I have bought Dr. Dielman's Applied Regression 4e textbook in Taiwan) for preparing my MBA thesis regarding the interaction effects. Given the widespread use of commercially available packages, this book provided considerately coverage on ALL computer packages about the field of regression work.
Book Description
A classic text in the field, this new edition features a new co-author and provides a well-balanced and comprehensive study of current econometric theory and practice for undergraduate or graduate study. Traditional topics are carefully blended with newer techniques and trends. While the authors of this text assume students have taken a basic course in statistics, they provide a complete appendix on basic statistical theory for those who may need a refresher. In addition, the authors include in an appendix a review of all relevant topics in matrix algebra. Includes data disk.
Customer Reviews:
a bit dense.......2007-06-16
This is a good textbook for a graduate level student but if you're not familiar with Econometrics it might be a little hard to catch up.
excellent text!.......2002-10-26
Given my relatively weak background in econometrics and statistics, I was afraid I wouldn't be able to understand my graduate econometrics class. However, ever since I started reading from this book, I have managed to follow what my teacher is saying. The steps on how the equations are derived are explained, but without making it too easy for the reader. This textbook is a great help. No wonder this has been around for some time. Nevertheless, I was hoping that there's an answer key for the problems.
The best econometrics book for first year graduate level.......2002-07-17
After trying many books as a PhD student at Harvard, this
is one of the books I have finally settled on as the best for
understanding the first year graduate-level fundamentals
in econometrics. Just at the right level - keeps econometrics
understandable without trivializing it or filling up needless
pages.
Incredibly Lucid.......2002-06-04
A classic text , everything is derived using elementary calculus and the subject is practically developed from scratch . A greater emphasis on matrix notation and the inclusion of topics like survival analysis would be a plus though
It is still good........2002-03-28
This is a classical textbook in Econometrics.
Other reviewers have talked about its content, so I will express my opinion only.
Its audience is primarily for undergraduate students taking the first course in Econometrics. For this audience, it is difficult to find a competitor, because the book has everything you need to run a regression in a very straighforward way. That's why sometimes the book gets dry. However, it's fair to say that it is perfectly feasible to learn from it.
Yes, the matrix notation make the things difficult, but there is no other way if you want to learn well Econometrics.
The sequence of tests are presented very well.
Although overall the 4th. edition is better than the 3rd., I think the authors should have left the chapter on matrix in the body of the book and not in the appendix.
I'd say that this book is even better than Greene, and the next book to be read is Ruud.
Book Description
In the 2nd edition some sections of Part I are omitted for better readability, and a brand new chapter is devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility.
The theme of stochastic volatility also reappears systematically in the second part of the book, which has been revised fundamentally, presenting much more detailed analyses of the various interest-rate models available: the authors' perspective throughout is that the choice of a model should be based on the reality of how a particular sector of the financial market functions, never neglecting to examine liquid primary and derivative assets and identifying the sources of trading risk associated. This long-awaited new edition of an outstandingly successful, well-established book, concentrating on the most pertinent and widely accepted modelling approaches, provides the reader with a text focused on practical rather than theoretical aspects of financial modelling.
Customer Reviews:
Excellent introductory book to financial math.......2006-11-03
This book takes you through the math of finance step-by-step, passing through very simple examples first and then slowly adding complexity to the models studied. It is written very clearly and the prerequisites to reading this book are only some basic notions of probabilities (sigma-fields, probability measures).
Sometimes, the problem with math books is that they are "dry" and contain only a succession of theorems and proofs. In this one, the authors make a point of explaining in detail how different theorems and models relate to each other, and make extensive comparisons between them so that you get a better feel for how they work in practice.
The book is primarily a math book and can be light on market specifics. Do not buy this book as a practical "howto" in derivatives trading.
At the Forefront of Modern Mathematical Finance.......2005-05-23
This advanced text provides an excellent account of the current state-of-the art of options pricing/hedging models and interest rate term structure models. The book is accessible to both advanced practitioners of mathematical finance as well as to pure researchers in the field.
The book is in written in a mathematical style and contains rigorous proofs of many results. However, the main focus of the text is to describe the frontier of knowledge in the subject. Each section contains copious references to the literature and is so current that several references are to working papers. Many sections detail open problems and other areas suitable for scholarly research.
In their second edition, the authors provide an extremely useful critique of each modeling paradigm that they investigate. They also provide evidence for their position in the form of literature references which instruct the reader as to the shortcomings/limitations of a particular model. This information should prove quite valuable to model practitioners and implementers.
The authors assume an advanced background from the field of stochastic analysis, although they do provide an appendix which summarizes key results needed from the field. For the stochastic calculus prerequisites, I recommend Rogers & Williams "Diffusions, Markov Processes and Martingales" volumes I and II. Suitable prerequisites are also covered by Karatzas and Shreve in "Brownian Motion and Stochastic Calculus" 2nd edition. A good foundation in arbitrage pricing theory is also needed. I recommend the nice treatment by Bjork in "Arbitrage Theory in Continuous Time" 2nd edition.
The book is divided into two parts. The first part deals with options pricing in equity markets. Chapter 1 sets premlinaries required for the arbitrage theoretic framework, while Chapter 2 has a very nice treatment of discrete time models and finite financial markets.
In Chapter 3, the authors develop the Black-Scholes model along with the Bachelier model using arbitrage techniques. The models are compared and used as benchmark continuous time models and form the basis for all subsequent analysis.
Chapter 4 provides a nice survey of techniques used to price/hedge options in foreign equity and currency markets. The authors assume familarity of the basic workings of foriegn markets.
Chapter 5 is a terrific chapter on valuing American-style options. The American call option is thoroughly studied and approximation techniques for the American put option are introduced. The explicit derivations of the formulas are referenced to the literature.
Chapter 6 provides an introduction to exotic options, although the authors vary their use of the term 'exotic' to meaning 'not a standard European-style or American-style' in this chapter to meaning 'no readily available liquid market' in Chapter 7. The descriptions are quite accessible and the basic properties of the options are described along with pricing formulas (assuming the Black-Scholes framework).
Chapter 7 provides as complete an accounting as I have ever seen of the generalizations of the Black-Scholes model and motivates this from the point of view of volatility surfaces. Many of the well-known models are studied in detail, such as CEV, local volatility, and mixture models. The strengths and weaknesses of each model are analyzed. The stochastic volatility models of Wiggins (via Orenstien-Uhlenbeck processes), Hull-White, and Heston are studied, as is the SABR model. The chapter wraps up with a study of the SIV models, describes how the stochastic volatility models can be obtained via limits of GARCH models and surveys Jump-diffusion processes and Levy processes.
The second part of the book is concerned with term structure models and interest rate derivatives. The authors are quite well-know for their many contributions to this study and their treatment is authoritative.
Martingales & Finance.......2003-04-12
I have used this book for two courses in my MSc degree in Financial Maths...well this book is hard to understand at first glance, but, once you are introduced with a good course on stochastic analysis and applied probability, this is an illuminating book...I particularly enjoyed the part on foreing equity derivatives and exotic derivatives.....Harmed with patience this is definitely the book by which you can effectively gain a sound a knowledge on modern mathematical finance theory....reading in conjunction with Bingham-Kiesel book, could help understanding the foundation of the subject.
yes, but ..........2000-03-17
I've been using this book on and off over the last year. At first I was very impressed with the level of detail in the mathematics, especially as it was the only book at the time focussing on risk-neutral methods and covering BGM. But I've become increasing disillusioned with it of late. It's difficult to explain, but although the whole book is written in traditional theorem-proof style, there are no real proofs! (I have a PhD in math and have done research for 10 years so I should know a little about proofs.) The only "proofs" provided are basically symbol shifting, but the heart of the math is strangely absent. This is especially strange given the Springer series in which it appears.
In short, if you want a catalogue of methods this book does the job, but if you want a deeper understanding try Lars Nielsens book.
excellent book for post-John-Hull readers.......1999-08-17
This book covers essentially everything needed for a serious financial math study. It captures the spirit of modern financial math. For people with math, physics or engineering background, when you feel comfortable woth John Hull's books, then this book is right one, and a must one.
Book Description
This book systematically and thoroughly covers a vast literature on the nonparametric and semiparametric statistics and econometrics that has evolved over the past five decades. Within this framework, this is the first book to discuss the principles of the nonparametric approach to the topics covered in a first year graduate course in econometrics, e.g., regression function, heteroskedasticity, simultaneous equations models, logit-probit and censored models. Professors Pagan and Ullah provide intuitive explanations of difficult concepts, heuristic developments of theory, and empirical examples emphasizing the usefulness of modern nonparametric approach. The book should provide a new perspective on teaching and research in applied subjects in general and econometrics and statistics in particular.
Customer Reviews:
The best introduction to the field.......2005-01-31
I think this is the best introduction to nonparametric and semiparametric estimation to date. It covers an impressive amount of material, and the focus is on density and regression estimation. The exposition is clear, a lot of crucial results are proved, and an immense quantity of others are sketched or at least mentioned. Most of the book is fairly or very advanced, but all topics are introduced in a neat, simple, and intuitive way, so even a beginner can benefit from several parts of this book (previous good knowledge of math & statistics are still necessary, of course). Densities, regressions, discrete dependent variable models, simultaneous equation models, selection models, it's all in here. The field is expanding, but this book really has almost all you need to know about what the field has done until the publication date.
There is also a nice and useful appendix for many of the asymptotic results used in the book. The only drawback (besides a few typos, but not so many to be annoying) is the scant presence of empirical applications, but this book is not supposed to be a guide for applied econometricians (at least, not mainly), so I don't think it's a serious shortcoming. If you are more interested in the applied side of np regression, but you still want a rigorous treatment, you may look at Yatchew's "Semiparametric regression for the applied econometrician", in the same Cambridge series. For an even simpler, shorter, and low-tech introduction to np esimation of densities and regression, I would suggest instead the last pages of Ch. 3 in the splendid "The analysis of household surveys", by Angus Deaton.
This book is really worth its price (which, by the way, is kept at a very decent level by the worthy Cambridge University Press. I wish Wiley or Chapman and Hall stopped with their policy of immoral prices...). Highly recommended.
Great Book on Non-Parametrics.......2001-10-20
I just started reading it, and I love the clear exposition of the book. Its a very fast-growing field, so don't expect this book to be the last word on the subject. Still, it's a must for an advanced graduate student in econometrics in need of a good introduction to non-parametric estimation.
A comprehensive review of nonparametrics statistics.......2001-04-08
Nonparametrics seems to be one of the most promising fields in econometrics. All econometricians should be aware of that and try to learn the basic tools. This book is a great beginning (perhaps you should read the chapter of nonparametrics in Johnston and Dinardo's "Econometric Methods" to get used to the very basic concepts). The manual contains practically all the stuff that has been done in the field. It begins pretty fast with the kernel estimation method and, by page 19, you will be face to nonparametric derivatives estimation equations. In the introduction there is a clear explanation of the difference between parametrics and nonparametrics; you will also learn the main basic methods and concepts, such as the nearest Neighborhood Estimator and the window's size problem. After that, you'll have to read about the statistical properties (finite sample and asymptotics) of the estimators. There is also a lot of stuff of semiparametric methods. You shouldn't expect an extremely easy-to-read manual, because nonparametrics is a pretty complex subject. The first 50 pages are easy and fun to read. You'll get excited by learning such interesting theory. But then, the hard topics begin and if you want to understand them all, you'll have to make a big effort. Not overwhelmingly complicated, neither elementary, this book is an excellent reference in the field, but I advice you to have two or three more books of the same subject (Hardle, for example) so you can understand faster some of the developments presented. A fairly good mathematical and probability knowledge is required.
Up to date.......2001-02-03
This is the most accessible and the most comprehensive text on nonparametric econometric methods I have seen. The field is highly technical, and there has been a need for the book that would combine ease-of-use with the scope. Moreover, the book is up to date and covers all econometric methods, instead of focusing on a specific branch. Recommended.
Book Description
Focusing on the many advances that are made possible by simulation, this book describes the new generation of discrete choice methods. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Download Description
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum simulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. No other book incorporates all these fields, which have arisen in the past 20 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Customer Reviews:
An excellent and thorough book.......2006-03-08
This book is one of the best for introduction to Discrete choice models. I had been using Ben-Akiva & Lerman, but feel this book should be read along with that one for a better understanding of choice models. Also, Train covers recent advances in the field and provides a good introduction to Halton draws. He really makes sure you get the concepts and the online lecture series are really excellent.
Probably the best of its kind. Good for MS students and up .......2005-04-24
-Enjoyable read
-Does not assume PhD level of econometrics
-Explanations are clear and concise
Actually, an advanced undergrad may find this book usefull as well.
Is this the best discrete choice methods book ever published?
Let y = 1 or 0 where 1 = yes, this is the best and 0 = No, the book is not the best. Also let P = Prob (y=1). My results show P = 0.98 (see forthcoming Econometrica article).
While finishing a Master's Thesis in applied econ which focuses on a multinomial logit model, I have sought good info on this topic. Not having gone through the rigors of a PhD program, I have gone through many of the important books and articles which address discrete choice modeling methods some of which address a post-doc audience only. Dr. Train's is by far the best I have encountered. His explanations are concise yet not too dense (see Amemiya). I first encountered many of the concepts in other publications but did understand them until reading Train's book. In my opinion Train has that rare quality of being, not only an exceptional economist, but quite enjoyable to read.
excellent discussion of what the models mean.......2005-03-17
If I could give this book six stars I would. It's simply one of the best statistics books I've ever read.
This book is very well-written by one of the experts in the field. It covers logit models and the various generalizations (GEV, mixed logit, probit, etc.) in detail, along with a thorough discussion of modern estimation of these models. What I find most useful about it is that the words-to-equations density is highly favorable. The equations you need are there, but the words you need are there too, making sure you understand the model assumptions inside and out. Each equation is explained thoroughly and the surrounding discussion probes the model to bring the reader to a critical understanding of what exactly is implied by the model. Too often complex statistical models are treated in a "black box" fashion. The dirty little secret is that it's easier for the author to do this. Train doesn't take the easy way out. The fact that his web site has truly excellent support--including a large number of webinars in addition to the more usual papers, software, etc.--makes this book a doubly valuable item. See http://elsa.berkeley.edu/~train/distant.html for even more.
Book Description
- The updated and expanded second edition of the internationally bestselling guide to principles and practices for undergraduate business and economics students taking mandatory economics statistics courses. - Features four new sections—on nonparametric tests, the Logit Model, the Probit Model, and causality tests—complete with new models and tests used in financial econometrics, and a new chapter on time series econometrics - Over 100,000 students enrolled annually - Includes numerous examples, completely worked problems, supplementary problems, and two full-length self-examinations
Customer Reviews:
It got me through Econometrics.......2002-01-26
This was an extremely useful book for the understanding of Statistics and Econometrics. Each topic had examples to show how the formulas work. The computer chapter went over the programming in SAS, Excel, and Eviews for the problems in the book. Best of all, the problems had answers. This is a must-have for beginning statistics and econometrics since it starts from scratch, and for theory students in search of an application.
Book Description
ELEMENTARY FORECASTING focuses on the core techniques of widest applicability. The author illustrates all methods with detailed real-world applications, many of them international in flavor, designed to mimic typical forecasting situations.
Customer Reviews:
Not Bad.......2007-01-04
The book starts with talking about forecasting deterministic trends, then seasonalities, later chapters 6,7,8 talk about forecasting cycles. Finally in the end chapters the author puts it all together and talks about multivariable forecasting models. The book is on an introductory level, so if you're looking for indepth discussion of these topics this is not for you. Anoter drawback is that this book does not integrate into its discussion of the topics any examples of code that would show how to forecast with any popular software package (Eviews or SAS).
Third edition is no better.......2004-01-15
I posted the unfavorable review of the second edition. I have recently had an opportunity to see the third edition, and find the same errors are still present.
an embarrassingly slapdash and sloppy book.......2002-09-28
There were a considerable number of errors in the first edition that I pointed out to the author shortly after its publication. The second edition seems to have corrected few if any of them. Let me cite two egregious examples.
In the chapter on ARMA models, the example analyzed is Canadian Employment data. One of the models that is fit is an MA(4) -- see pages 164-6. When I tried to reproduce these results using software other than EVIEWS, using the data disk in the 1st edition, I couldn't. I contacted EVIEWS and they discovered a programming error in the estimation routine. They released a patch to fix EVIEWS. However, the author never re-estimated his model, and the estimates in the second edition are the same as in the first. However, my copy of the 2nd edition has no data disk! Was that thought to be an adequate solution?!
Chapter 9 ("Putting it all together") is a capstone chapter that analyzes liquor sales data using the techniques introduced in earlier chapters. After several pages (pp. 207-19) a model is selected. On pages 220-2, the residuals are examined using the Box-Ljung statistic, and deemed acceptable. However, as a careful examination of table 9.6 makes clear, the p-values for the Box-Ljung statistic were computed as if the input data were a raw series. The model generating the residuals (p. 219) had 3 autoregressive terms! This changes the d.f. in the chi-square distribution of the statistic. If you make the appropriate correction using the data in table 9.6, and compute the p-values correctly, you will see that the model residuals apparently ARE NOT white noise. One reason is a calendar effect in liquor sales: months that contain more than a usual number of Fridays and Saturdays result in more liquor sales; ones with more Sundays result in lower liquor sales. However, the author doesn't discover this, but accepts his inappropriate model on the basis of faulty distribution theory.
Good, but poor examples.......1999-11-27
If the purpose of using this book is to get a brief idea of what certain concepts are then it is a good book. Unfortunately, many people using this book are going to be those who do not have much background with the concepts inside and they will be looking for clearer explanations of what the author is talking about. I think that is the book's weakness: the fact that many times I didn't feel that his definitions and explanations were complete enough.
Excellent introductory guide to forecasting !!!.......1999-01-26
The use of practical examples (using the Eviews software) and the availability of a data disk makes this a very relevant guide for practitioners. There is a good section on graphical analysis and modelling of cycles using AR and MA processes. The mathematics is kept simple and clear, intuitive explanations are given throughout. The treatment of unit roots, cointegration and other advanced materials is quite sketchy but I guess that is to be expected in an introductory text. With the level of clarity evident throughout this book, I certainty hope Diebold follows up with another book on more advanced forecasting techniques.
Book Description
This book is a thorough update of the original
Methods and Materials of Demography (1976). Every chapter is new, written exclusively for this edition.
Like the original,
Red Book, the Second Edition presents a systematic and comprehensive exposition of the methods used by technicians and research workers in dealing with demographic data. It is concerned with the ways data on population are gathered, classified, and treated to produce tabulations and various summarizing measures that reveal the significant aspects of the composition and dynamics of populations. It also sets forth the sources, limitations, underlying definitions, and bases of classification, as well as the techniques and methods that have been developed for summarizing and analyzing the data.
Customer Reviews:
Go buy a copy.......2005-09-17
This new edition of a standard reference is most welcome and long overdue. Generally sound and providing the high quality expected, with several new topics covered very well. Special mention should be made of the very useful additional material on health issues. Unfortunately the same cannot be said for the chapter on race and ethnicity which is already well out of date, focuses on US material on race and provides very little by way of useful or factual information on ethnicity. The information about international practices seriously thin and is badly flawed, despite some valuable comments which seem to have sneaked in. Why on earth for such a central reference work did the editorial board not find an ethnicist to co-author this chapter at the very least - this chapter is a sad and jumbled disappointment with little understanding of the topic and it misses entirely key issues and concepts such as ethnic mobility and the role of paternity effects. A quick look through the reference list for the chapter reveals the source of this lack of depth and lack of discussion of key issues - the primary research is nowhere to be seen and it depends far too heavily and uncritically on official US census publications. The appendix on GIS is welcome but is already also starting to date, as would be expected for such a fast moving area. Despite these short-comings, still a most welcome book and tremendous value for the price. Well bound and well printed, and the editors need to be complimented on a very high quality publication.
Way too hard for the third grade!.......2005-04-04
My teacher used this book in third grade science. It was way too hard! This book might be good for grown-up people in college, but please... it's too hard for the third grade.
A new version of the "Bible" of Demography.......2005-02-10
I remember the early days where I used to go through the old book "The Methods and Materials of Demography" while studying at the Cairo Demographic Center in the early 90s of last century. The new version is an innovative and invaluable addition to the fundamental books in the field. I highly recommend this book for all demographers worldwide.
REVIEW OF THE 2ND EDITION.......2004-04-12
Another review displayed here refers to the 1st edition, which was published in 1976. This review covers the 2nd edition, which was published in March 2004. The 2nd Edition by J. Siegel and D. A. Swanson is hardbound and has around 850 pages. The price ($89.00) is unbelievably low for such a comprehensive and well-written book. It is filled with references and examples and provides updates on data sources while covering the many advances in methods and technology that have occurred since the publication of the first edition. This book can be used both in the classroom and by practitioners. Besides covering and updating everything that was in the 1st edition, it adds new chapters, appendices, and a cross-referenced comprehensive glossary. The 2nd edition by Siegel and Swanson is a worthy successor to the 1st edition by H. Shryock, J. Siegel, and E. Stockwell and is a mandatory book for anybody interested in demography.
A REVIEW OF THE 2nd EDITION.......2004-03-26
The other review displayed here for the Methods and Material of Demography refers to the 1st edition, published in 1976. This review covers the 2nd edition released in March 2004.
The 2nd Edition by Siegel and Swanson is, indeed, the bible of demography. Filled with references and examples, it provides updates on data sources while covering the many advances in methods and technology that have occurred since the publication of the first edition. This book is well-crafted and can be used both in the classroom and by practictioners. Besides covering everything that was in the 1st edition, it adds new chapters and appendices (e.g., health demography and GIS) and provides an excellent cross-referenced glossary as well as a demography timeline. The 2nd edition is a worthy successor to the first edition and is a must-have book for anybody interested in demography.
Book Description
This highly accessible and innovative text (and accompanying CD-ROM) uses Excel (R) workbooks powered by Visual Basic macros to teach the core concepts of econometrics without advanced mathematics. It enables students to run monte Carlo simulations in which they repeatedly sample from artificial data sets in order to understand the data generating process and sampling distribution. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software.
Customer Reviews:
Blows Away All Other Intro Texts.......2006-05-31
I am only half finished with this book, but since there is only one other review, I want to get my thoughts up NOW. I may add to them when I have finished.
My wife is an econ major at a small school with very few econ majors. Econometrics is not offered as a course. Although as a practical businessman with a preference for Austrian school economic theory I have a healthy scepticism about quantitative macroeconomic (especially) formulas, I have told my wife that she can not be a part of today's theoretical discussions without a basic understanding of econometrics. I promised to help her self-study this topic, and have reviewed a number of supposedly "introductory" texts (to remain nameless, but they are standards)that have lost me within 50 pages. Neither my wife nor I have calculus or matrix algebra. However, even those texts that say they do not rely on such math knowledge are still confusing. Until now.
Barreto's text is a wonder. The other review gives solid examples of why this is. Let me just say that you will be able to see econometric principles in action. The explanations are incredibly clear, and the work on the beefed up excel spreadsheets effectively demonstrates those explanations. I know this will be difficult to believe, but the text is actually fun to read. My wife and I both have college algebra, business statistics, and basic excel. That's all you need to use this book.
Every university should adopt this book as the intro econometrics text. It provides an approach to learning the topic that is accessible to any intelligent econ student. Those going on to PhD work could supplement with calculus, matrix algebra, and one of the other so-called intro texts. Barreto provides a way for normal econ students to understand econometrics, something that all econ students should be required to do. (Even though much of econometrics is nonsense, knowledge of its applications and mis-applications is still the ticket to being taken seriously in economic debate.)
I only wish I could give this book more than 5 stars. It is a stunning achievement.
Interactive Guide to UNDERSTANDING econometrics.......2006-02-16
When I was a new graduate student I ended up buying several different econometrics texts. No one text had the best explanation for each topic. The problem remained that for many topics I never did find a book which translated the formal mathematical presentation into a practical worked out example, so that I could understand the procedure and how to implement it.
This book and accompanying CD-ROM does that and much more.
Every topic includes guided Microsoft Excel spreadsheets and add-ins which illustrate the topic being addressed. The text clearly explains not only the HOW, but the WHY. The economics and the econometrics are presented with such clarity and unity; bridging the two in a way that none of the other texts do.
In Barreto and Howlands book/CD package you interact with the data and the graphs (they include a superior add-in for creating histograms), and run Monte Carlo simulations to see the behavior of the estimators in repeated sampling. These are "live" spreadsheets that invite you to experiment. For example; there is an Excel workbook which illustrates the correlation coefficient. Rather than a dry recitation of formula and proof, you can interact with the spreadsheet and see exactly how the same coefficient can apply to data having very different patterns. It is one thing to see an illustration, and quite another to actually be the one creating the diagram, simply by running the macros and changing parameters. This "hands on" approach is so vital to actually getting an understanding of the material. I have only a basic understanding of Excel, and have had no difficulties in using the workbooks.
While the limits of Excel are pointed out by the authors, it is important to note the reason for using Excel. It is widely understood and available; there is no learning curve. By using Excel there is no software barrier between the student and understanding the principles of econometric modelling. In less than 1/2 hour I took the data and example of a Probit model using Maximum Likelihood estimation from a course web site from across the country and replicated the results using the add-in provided. Most of that time was used to extract the data from a .pdf file and get it formatted properly for Excel. Once I had the data in Excel, it took less than 2 minutes to run the Probit estimation (my first time using that add-in!) By the way, the results using the authors add-in for solving Probit models with ML estimation were the same as the results from GAUSS code to do the same. The add-in had a distinct advantage though in that a choice for Probit or Logit model estimation using either Non Linear Least Squares or the Maximum Likelihood estimation was just a radio button away! This text can complement any course, regardless of the software used.
Again, the beauty of the book is that you are not just left with Greek formulas that leave you wondering how to do the computations, and you are not left with computer output leaving you to wonder how to interpret that output. The text explains the meaning so powerfully that you are not only armed with an understanding which is useful for success in your course work, but also for applying the quantitative tools in real world analysis and applications. The text is like going to see your favorite professor who is sitting there with you one on one, giving you insight which only comes from experience.
I've been through courses that use Greene, and Judge, as well as introductory texts. This text stands alone in making use of the computing power we have at our disposal today, not to produce more computer printouts, but rather to increase our understanding--providing the sound reasoning for applying that power.
I should add that even after two years of statistics and econometrics I learned quite a lot from the statistics review chapters. Don't be misled by the "Introductory" title. I had learned and executed Artificial Neural Network models in graduate courses, but still learned a lot from the section on correlation in this book. For undergrad students this book will put you on the right path. For grad students it will correct blind spots and misconceptions.
I highly recommend this book/CD package to any econometrics student and to practicing analysts that use regression analysis. The authors have created a product that I wish I had when I was in school, but am glad I found now for applying in my career.
Detailed info on contents as well as the Excel files and add-ins are available from the authors' web site which I found prior to ordering from Amazon. Once I tried the workbooks, I knew I wanted the book. It's 800 pages of solid information and inspired teaching.
http://www.wabash.edu/econometrics/index.htm
Books:
- Modernity at Large: Cultural Dimensions of Globalization (Public Worlds, V. 1)
- Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability)
- Oracle E-Business Suite Manufacturing & Supply Chain Management
- Ordinary People in Extraordinary Times: The Citizenry and the Breakdown of Democracy
- Organizations: Behavior, Structure, Processes
- Organizing Plain and Simple: A Ready Reference Guide with Hundreds of Solutions to Your Everyday Clutter Challenges
- Overdosed America: The Broken Promise of American Medicine
- Principles of Corporate Finance + Student CD + Ethics in Finance PowerWeb + Standard and Poor's (McGraw-Hill/Irwin Series in Finance, Insurance, and Real Est)
- Principles of Marketing (Principles of Marketing)
- Quantitative Methods for Business (with Crystal Ball Pro 2000 v7.1, CD-ROM, and InfoTrac )
Books Index
Books Home
Recommended Books
- All Over but the Shoutin'
- The Seven Silly Eaters
- Mastering Autodesk Revit Building
- Project Resource Manual
- New Moon
- The Japanese House: Architecture and Interiors
- The Full Cupboard of Life
- The Resilient Sector: The State of Nonprofit America
- Smart Guide: Basements: Step-by-Step Projects
- Such a Killing Crime
Econometrics
| Economics
| Business & Investing
| Subjects
| Books
Econometric Analysis of Cross Section and Panel Data
Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data
Analysis of Panel Data
Discrete Choice Methods with Simulation
Econometrics
