
Introduction to Python for Econometrics, Statistics and Numerical Analysis
by Kevin Sheppard
2020
Number of pages: 380
Description:
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.
Download or read it online for free here:
Download link
(4.1MB, PDF)
Similar books
The Computation of Economic Equilibriaby 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.
(12147 views)
Non-Extensive Entropy Econometrics for Low Frequency Seriesby Second Bwanakare - De Gruyter Open
The book provides a new, non-extensive entropy econometrics approach to the economic modelling of ill-behaved inverse problems. Particular attention is paid to national account-based general equilibrium models known for their relative complexity.
(7893 views)
Applied Nonparametric Regressionby Wolfgang Härdle - Cambridge University Press
Nonparametric regression analysis has become central to economic theory. Hardle, by writing the first comprehensive and accessible book on the subject, contributed enormously to making nonparametric regression equally central to econometric practice.
(30074 views)
Structural Analysis of Discrete Data with Econometric Applicationsby Charles F. Manski, Daniel McFadden - The MIT Press
The book provides a methodological foundation for the analysis of economic problems involving discrete data, and charts the current frontiers of this subject. It is also useful for the researchers involved in the structural analysis of discrete data.
(18068 views)