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 Tom Domencich, Daniel L. McFadden - North-Holland Publishing
'Urban Travel Demand' develops a theory of demand for populations of individual economic consumers which we believe is a logical and natural generalization of traditional theory to encompass choice among discrete alternatives.
by Charles Frederick Roos - Principia Press
Contents: Static Versus Dynamic Economics; Demand for Consumer Goods; Automotive Demand for Gasoline; Demand for Agricultural Products; Demand for Capital Goods; Factors Influencing Residential Building; Growth and Decline of Industry; etc.
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 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.