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A handbook and reference for academic econometricians and advanced graduate students. The book provides a coherent account of recent contributions to limit theory, with particular emphasis on the issues of date dependence and heterogeneity. It alsoMoreA handbook and reference for academic econometricians and advanced graduate students. The book provides a coherent account of recent contributions to limit theory, with particular emphasis on the issues of date dependence and heterogeneity. It also provides a grounding in the requisite mathematics and probability theory, which will allow readers with limited mathematical training to make use of the material. --This is a survey of the recent developments in the rapidly expanding field of asymptotic distribution theory, with a special emphasis on the problems of time dependence and heterogeneity. The book is designed to be useful on two levels. First as a textbook and reference work, giving definitions of the relevant mathematical concepts, statements, and proofs of the important results from the probability literature, and numerous examples- and second, as an account of recent work in the field of particular interest to econometricians, including a number of important new results. It is virtually self-contained, with all but the most basic technical prerequisites being explained in their context- mathematical topics include measure theory, integration, metric spaces, and topology, with applications to random variables, and an extended treatment of conditional probability. Other subjects treated include: stochastic processes, mixing processes, martingales, mixingales, and near-epoch dependence- the weak and strong laws of large numbers- weak convergence- and central limit theorems for nonstationary and dependent processes. The functional central limit theorem and its ramifications are covered in detail, including an account of the theoretical underpinnings (the weak convergence of measures on metric spaces), Brownian motion, the multivariate invariance principle, and convergence to stochastic integrals. This material is of special relevance to the theory of cointegration. - Stochastic Limit Theory: An Introduction for Econometricians by James Davidson