Advances in Econometrics: Theory and Applications
by Miroslav Verbič
Publisher: InTech 2011
Number of pages: 116
This book provides recent insight on some key issues in econometric theory and applications. The volume focuses on three recent advances in econometric theory: non-parametric estimation, instrument generating functions, and seasonal volatility models.
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by Kevin Sheppard
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.
by Thomas J. Rothenberg - Yale University Press
This book presents an attempt at unifying certain aspects of econometric theory by embedding them in a more general statistical framework. The unifying feature is the use of a priori information and the basic tool is the Cramer-Rao inequality.
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This is a step-by-step guide to financial econometrics using EViews 6.0 statistical package. It contains brief overviews of econometric concepts, models and data analysis techniques followed by examples of how they can be implemented in EViews.
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The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.