Introduction to Python for Econometrics, Statistics and Numerical Analysis
by Kevin Sheppard
2012
Number of pages: 281
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
(1.8MB, PDF)
Similar books
Production Economics: A Dual Approach to Theory and Applicationsby Melvyn Fuss, Daniel L. McFadden - North-Holland
Chapters: Cost, Revenue, and Profit Functions; Symmetric Duality and Polar Production Functions; Applications of Profit Functions; General Linear Profit Function; Duality, Intermediate Inputs and Value-Added; Hick's Aggregation Theorem; etc.
(8613 views)
Optimal Regulation: The Economic Theory of Natural Monopolyby Kenneth Train - The MIT Press
Optimal Regulation addresses the central issue of regulatory economics -- how to regulate firms in a way that induces them to produce and price 'optimally'. It synthesis an extensive theoretical literature on what constitutes optimality.
(8103 views)
Lectures in Quantitative Economicsby Thomas J. Sargent, John Stachurski - QuantEcon
This website presents a series of lectures on quantitative economic modeling. From the table of contents: Data and Empirics; Tools and Techniques; Dynamic Programming; Multiple Agent Models; Time Series Models; Dynamic Programming Squared.
(2558 views)
Computable General Equilibrium Modeling for Regional Analysisby Eliecer E. Vargas, et al. - Regional Research Institute, WVU
CGE framework encompasses both the I-O and SAM frameworks by making demand and supply of commodities and factors dependent on prices. A CGE model simulates the working of a market economy in which prices and quantities adjust to clear all markets.
(5711 views)