Advances in Econometrics: Theory and Applications
by Miroslav Verbič
Publisher: InTech 2011
Number of pages: 116
This book provides recent insight on some key issues in econometric theory and applications. The volume focuses on three recent advances in econometric theory: non-parametric estimation, instrument generating functions, and seasonal volatility models.
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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.
by Thomas Andren - BookBoon
This book covers the most basic concepts in econometrics. Subjects as basic probability and statistics, statistical inference with the simple and multiple regression model, dummy variables and auto correlation are explained.
by 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.
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.