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 William C. Hood, Tjalling C. Koopmans - J. Wiley and Sons
Econometrics is a branch of economics in which economic theory and statistical methods are fused in the analysis of numerical data. The studies in this volume discuss in an expository style some problems of statistical method in econometrics.
by Roman Kozhan - BookBoon
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.
by William H. Miernyk - Random House Inc
This volume is designed to give the reader an understanding of how the input-output system works; it is not a guide to the construction of an interindustry transactions table. Most of this book deals with a static, open input-output model.
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.