Studies in Econometric Method
by William C. Hood, Tjalling C. Koopmans
Publisher: J. Wiley and Sons 1953
Number of pages: 343
Econometrics is a branch of economics in which economic theory and statistical methods are fused in the analysis of numerical and institutional data. The studies assembled in this volume discuss in an expository style some problems of statistical method in econometrics.
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by James P. LeSage - University of Toledo
This text provides an introduction to spatial econometrics as well as a set of MATLAB functions that implement a host of spatial econometric estimation methods. The intended audience is faculty and students involved in modeling spatial data sets.
by Jerome Stein - Springer
Stochastic Optimal Control (SOC) is very helpful in understanding and predicting debt crises. The mathematical analysis is applied empirically to the financial debt crisis of 2008, the crises of the 1980s and the European debt crisis.
by Kevin Sheppard
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.
by 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.