Hands-on Intermediate Econometrics Using R: Templates For Extending Dozens Of Practical Examples (With Cd-rom)
Author:   Hrishikesh D Vinod (Fordham Univ, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789812818850


Pages:   540
Publication Date:   03 November 2008
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Hands-on Intermediate Econometrics Using R: Templates For Extending Dozens Of Practical Examples (With Cd-rom)


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Overview

This book explains how to use R software to teach econometrics by providing interesting examples, using actual data applied to important policy issues. It helps readers choose the best method from a wide array of tools and packages available. The data used in the examples along with R program snippets, illustrate the economic theory and sophisticated statistical methods extending the usual regression. The R program snippets are not merely given as black boxes, but include detailed comments which help the reader better understand the software steps and use them as templates for possible extension and modification.

Full Product Details

Author:   Hrishikesh D Vinod (Fordham Univ, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Dimensions:   Width: 16.00cm , Height: 3.30cm , Length: 23.40cm
Weight:   0.907kg
ISBN:  

9789812818850


ISBN 10:   9812818855
Pages:   540
Publication Date:   03 November 2008
Audience:   College/higher education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Production Function and Introductory Econometrics Using R; Univariate Time Series Analysis with R; Bivariate Time Series Analysis with R; Utility Theory and Empirical Implications; Vector Models for Multivariate Problems; Simultaneous Equation Models; Limited Dependent Variable (GLM) Models; Dynamic Optimization and Empirical Analysis of Consumer Behavior; Single, Double and Maximum Entropy Bootstrap and Inference; Generalized Least Squares, VARMA, Estimating Functions; BoxA-Cox, Loess and Projection Pursuit Regression

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