Rainer Winkelmann. Stefan Boes. Analysis of Microdata. With 38 Figures and 41 Tables Common Elements of Microdata Models. Examples. Analysis of Microdata, Second Edition by Rainer Winkelmann, Stefan Boes. Martin Crowder. Mathematics Department, Imperial College. Winkelmann, Rainer; Boes, Stefan (). a Master`s or a first-year Ph.D. course in microdata analysis, and as a reference for practitioners.

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The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods.

Analysis of Microdata

By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. In addition to general estimation frameworks particular methods of moments and maximum likelihoodspecific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal or treatment effects, and duration analysis.

Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions.

This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of “generalized instrumental variables” GIV estimation; new anqlysis based on the author’s own recent research of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the “generalized estimating equation” literature popular in statistics and other fields.

New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain “obvious” procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights. Account Options Sign in. The winkelmsnn of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options.

The goal of this book is to familiarize readers with a wide range of commonly used models, and thereby to enable them to become critical consumers of current empirical research, and to conduct their own empirical anzlysis.


The focus of the book is on microeata models in the context of large cross-section samples. Wlnkelmann microdata applications, dependent variables often are qualitative and discrete, while in other cases, the sample is not randomly drawn from the population of wimkelmann and the dependent variable is censored or truncated. Hence, models and methods are required that go beyond the standard linear regression model and ordinary least squares.

Maximum li- lihood estimation of conditional probability models and marginal probability e? Analywis consider the limitation to m- imum likelihood sensible, from a pedagogical point of view if the book is to be used in a semester-long advanced undergraduate or graduate course, and from a practical point of view because maximum likelihood estimation mixrodata used in the overwhelming majority of current microdata research. In order to introduce and explain the models and methods, we refer to a number of illustrative applications.

The main examples include the deter- nants of individual fertility, the intergenerational transmission of secondary schoolchoices,andthewageelasticityoffemalelaborsupply. It syncs automatically with your account and allows you to read online or offline wherever you are. Please follow the detailed Help center instructions to transfer the files to supported eReaders. Econometric Analysis of Count Data: The development of new methods has not slowed down by any means, and the application of existing ones in applied work has expanded in many areas of social science research.

This, in itself, would be reason enough for updating the material in this book, to ensure that it continues to provide a fair representation of the current state of research.

In addition, however, I have seized the opportunity to undertake some major changes to the organization of the book itself. The core material on cross-section models for count data is now presented micgodata four chapters, rather than in two as previously. The second focuses on unobserved heterogeneity, the third on endogeneity and non-random sample selection.

The fourth chapter provides an extended and uni? This topic deserves, in my view, special emphasis, as it relates micodata aspects of modeling and estimation that are speci?

Analysis of Microdata, Second Edition by Rainer Winkelmann, Stefan Boes – Statistics Views

Count distributions put positive probability mass on single o- comes, and thus o? A Guide to Modern Econometrics: A Guide to Modern Econometrics, Fifth Edition has become established as a highly successful textbook. It serves as a guide to alternative techniques in econometrics with an emphasis on intuition and the practical implementation of these approaches. This fifth edition analysi upon the success of its predecessors. The text winkelmanh been carefully checked and updated, taking into account recent developments and insights.


It includes new material on causal inference, the use and limitation of p-values, instrumental variables estimation and its implementation, regression discontinuity design, standardized coefficients, and the presentation of estimation results.

The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. Econometric Theory and an Application to Labor Mobility.

This book presents statistical methods for the analysis of events. The primary focus is on single equation cross section models. The book addresses both the methodology and the practice of the subject and it provides both a synthesis of a diverse body of literature that winkepmann was available largely in pieces, as well as a contribution to the progress of the methodology, establishing several new results and introducing new models.

Starting from the standard Poisson regression model as a benchmark, the causes, symptoms and consequences of misspecification are worked out.

Both parametric and semi-parametric alternatives are discussed. While semi-parametric models allow for robust interference, parametric models can identify features of the underlying data generation process. Surveys on Recent Developments. The importance of empirical economics and econometric methods has greatly in creased during the last 20 years due to the availability of better data and the improved performance of computers.

In an information-driven society such as ours we need quickly to obtain analywis and convincing statistical results. This is only possible if the appropriate econometric methods are applied. Traditional econometric analysis concentrates on classical methods which are far from suitable for handling actual economic problems.

They can only be used as a starting point for students to learn basic econometrics and as a reference point for more advanced methods. Modern Econometrics tries to develop new approaches from an economic perspective. A consequence is that we have less of a unified econometric theory than in former times. Specific branches which require specific methods have been established.

Nowadays, nobody has complete knowledge of every area of econometrics. If someone mucrodata interested to learn more about a field, relatively unknown to them, they will require support.

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