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Microeconometrics using Stata / A. Colin Cameron, Pravin K. Trivedi.

By: Cameron, Adrian Colin.
Contributor(s): Trivedi, P. K.
Material type: TextTextPublisher: College Station, Tex. : Stata Press, c2009Description: xlii, 706 p. : ill. ; 24 cm.ISBN: 9781597180733; 1597180734; 9781597180481; 1597180483.Subject(s): Microeconomics -- Econometric models | Econometrics -- Computer programsDDC classification: 330.015195 Other classification: 83.03 Online resources: Publisher description | WorldCat details | E-book Fulltext
Contents:
Table of contents 1. Stata basics -- 2. Data management and graphics -- 3. Linear regression basics -- 4. Simulation -- 5. GLS regression -- 6. Linear instrumental-variables regression -- 7. Quantile regression -- 8. Linear panel-data models: Basics -- 9. Linear panel-data models: Extensions -- 10. Nonlinear regression methods -- 11. Nonlinear optimization methods -- 12. Testing methods -- 13. Bootstrap methods -- 14. Binary outcome models -- 15. Multinomial models -- 16. Tobit and selection models -- 17. Count-data models -- 18. Nonlinear panel models -- A. Programming in Stata -- B. Mata.
Summary: Summary: Offers an introduction to microeconometrics and how to do microeconometric research using Stata. This book demonstrates how to use Stata's programming features to implement methods for which Stata Read more...
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
E-book
Non-fiction 330.015195 CAM 2009 (Browse shelf) Not For Loan
Text Text EWU Library
Reserve Section
Non-fiction 330.015195 CAM 2009 (Browse shelf) C-1 Not For Loan 27104
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Online version:
Cameron, Adrian Colin.
Microeconometrics using Stata.
College Station, Tex. : Stata Press, ©2009
(OCoLC)609008446

Includes bibliographical references and indexes.

Table of contents 1. Stata basics --
2. Data management and graphics --
3. Linear regression basics --
4. Simulation --
5. GLS regression --
6. Linear instrumental-variables regression --
7. Quantile regression --
8. Linear panel-data models: Basics --
9. Linear panel-data models: Extensions --
10. Nonlinear regression methods --
11. Nonlinear optimization methods --
12. Testing methods --
13. Bootstrap methods --
14. Binary outcome models --
15. Multinomial models --
16. Tobit and selection models --
17. Count-data models --
18. Nonlinear panel models --
A. Programming in Stata --
B. Mata.

Summary:
Offers an introduction to microeconometrics and how to do microeconometric research using Stata. This book demonstrates how to use Stata's programming features to implement methods for which Stata Read more...

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