This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end....

This is the essential companion to Jeffrey Wooldridge's widely-used graduate text Econometric Analysis of Cross Section and Panel Data (MIT Press, 2001). Already established as a leading graduate econometrics text, the book offers an intuitive yet rigorous treatment of two methods used in...

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This...

In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and econometric techniques necessary to evaluate the theoretical models. In language accessible to a reader with a limited background in econometrics, they explain most of the...

This new edition of A.C. Harvey's clearly written, upper-level text has been revised and several sections have been completely rewritten. There is new material on a number of topics, including unit roots, ARCH, and cointegration. The Econometric Analysis of Time Series focuses on the statistical...

No names are more closely associated with modern trade theory than Eli Heckscher and Bertil Ohlin. The basic Heckscher-Ohlin proposition, according to which a country exports factors in abundant supply and imports factors in scarce supply, is a key component of modern trade theory. In this book,...

This book presents a comprehensive behavioral theory of market interactions and proposes an approach to policy management based on the use of microanalytic computer simulation. The author describes how simulation-based computer systems can provide realistic artificial environments in which...

The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical modeling, pattern recognition, and machine learning. It holds that the best explanation, given a limited set of observed data, is the one that permits the greatest compression of...

Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the...

The objectives of econometric modeling of producer behavior are to determine the nature of substitution among inputs and outputs and of differences in technology, as well as the role of economies of scale in production. Recent advances in methodology, based on the dual formulation of the theory...