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Springer - Causality, Prediction, and Specification Analysis Book

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Description

Explore the latest developments in econometrics with this collection of articles from Springer. This volume presents cutting-edge results regarding the specification and estimation of economic models, authored by leading experts in theoretical and methodological econometrics. The text focuses on recent advances in asymptotic approximation theory. Readers will find detailed discussions on using higher order asymptotics for estimator bias correction. It also covers the use of various expansion and theoretical tools for developing bootstrap techniques. These methods are designed for practical implementation when carrying out inference. This book serves as a significant resource for those studying the frontiers of economic modeling and statistical inference. It brings together high-level research to address complex challenges in causality, prediction, and specification analysis, making it a valuable addition to any academic or professional library in the field of economics.

Key Features

Features cutting-edge research on the specification and estimation of economic models written by world leaders in econometrics.

Covers recent advances in asymptotic approximation theory including the use of higher order asymptotics for bias correction.

Includes theoretical tools for the development of bootstrap techniques designed for implementation during inference.

Provides deep insights into the fields of theoretical and methodological econometrics.

Addresses modern challenges in causality, prediction, and specification analysis within economic frameworks.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 September 2014
Listed Since
20 September 2014

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