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Microeconometrics and MATLAB: An Introduction


  


 : Microeconometrics and MATLAB: An Introduction
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List Price: $61.00
Amazon.com's Price: $52.16
You Save: $8.84 (14%)
as of 02/28/2020 15:41 EST



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Binding: Paperback
Brand: imusti
EAN: 9780198754503
Edition: 1
Feature: OXFORD UNIVERSITY PRESS ACADEM
ISBN: 0198754507
Item Dimensions: 4091082600
Label: Oxford University Press
Languages: EnglishPublishedEnglishOriginal LanguageEnglishUnknown
Manufacturer: Oxford University Press
MPN: 29 Figures, 12 Tables
Number Of Items: 1
Number Of Pages: 218
Publication Date: March 07, 2016
Publisher: Oxford University Press
Release Date: March 07, 2016
Studio: Oxford University Press

Features:
  • OXFORD UNIVERSITY PRESS ACADEM



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Editorial Review:

Product Description:
This book is a practical guide for theory-based empirical analysis in economics that guides the reader through the first steps when moving between economic theory and applied research. The book provides a hands-on introduction to some of the techniques that economists use for econometric estimation and shows how to convert a selection of standard and advanced estimators into MATLAB code.

The book first provides a brief introduction to MATLAB and its syntax, before moving into microeconometric applications studied in undergraduate and graduate econometrics courses. Along with standard estimation methods such as, for example, Method of Moments, Maximum Likelihood, and constrained optimisation, the book also includes a series of chapters examining more advanced research methods. These include discrete choice, discrete games, dynamic models on a finite and infinite horizon, and semi- and nonparametric methods. In closing, it discusses more advanced features that can be used to optimise use of MATLAB, including parallel computing.

Each chapter is structured around a number of worked examples, designed for the reader to tackle as they move through the book. Each chapter ends with a series of readings, questions, and extensions, designed to help the reader on their way to adapting the examples in the book to fit their own research questions.






 



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