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Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis - Essays in Honor of Halbert L. White Jr (Hardcover, 2012 ed.)
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Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis - Essays in Honor of Halbert L. White Jr (Hardcover, 2012 ed.)
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This book is a collection of articles that present the most recent
cutting edge results on specification and estimation of economic
models written by a number of the world's foremost leaders in the
fields of theoretical and methodological econometrics. Recent
advances in asymptotic approximation theory, including the use of
higher order asymptotics for things like estimator bias correction,
and the use of various expansion and other theoretical tools for
the development of bootstrap techniques designed for implementation
when carrying out inference are at the forefront of theoretical
development in the field of econometrics. One important feature of
these advances in the theory of econometrics is that they are being
seamlessly and almost immediately incorporated into the "empirical
toolbox" that applied practitioners use when actually constructing
models using data, for the purposes of both prediction and policy
analysis and the more theoretically targeted chapters in the book
will discuss these developments. Turning now to empirical
methodology, chapters on prediction methodology will focus on
macroeconomic and financial applications, such as the construction
of diffusion index models for forecasting with very large numbers
of variables, and the construction of data samples that result in
optimal predictive accuracy tests when comparing alternative
prediction models. Chapters carefully outline how applied
practitioners can correctly implement the latest theoretical
refinements in model specification in order to "build" the best
models using large-scale and traditional datasets, making the book
of interest to a broad readership of economists from theoretical
econometricians to applied economic practitioners.
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