Introduction to Python for Econometrics, Statistics and Numerical Analysis
by Kevin Sheppard
Number of pages: 281
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. They may also be useful for an experienced Python programmer interested in using NumPy, SciPy, and matplotlib for numerical and statistical analaysis.
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by Herbert Scarf - Yale University Press
Contents: Problem of Computing Equilibrium Prices; Determination of an Approximate Fixed Point of Continuous Mapping; Numerical Applications of Brouwer's Theorem; An Extension of the Algorithm; Computation of Equilibria in a General Walrasian Model.
by Miroslav Verbič - InTech
This book provides recent insight on some key issues in econometric theory and applications. It focuses on three recent advances in econometric theory: non-parametric estimation, instrument generating functions, and seasonal volatility models.
by Jason D. Hartline
The text presents the classical theory of economic mechanism design and introduces a new theory of approximation for mechanism design. A central theme will be the tradeoff between optimality and other desirable properties such as simplicity, etc.
by Bruce E. Hansen - University of Wisconsin
Econometrics is the study of estimation and inference for economic models using economic data. Econometric theory concerns the study of tools and methods for applied econometric applications. This is a first-year Ph.D. econometrics textbook.