Microeconometrics using Stata

By: Cameron, A.ColinContributor(s): Trivedi, Pravin KMaterial type: TextTextPublication details: College Station, Tex. : Stata Press, ©2010Edition: Revised EditionDescription: xlii, 706 pages : illustrationsISBN: 9781597180733 ; 1597180734Subject(s): StataDDC classification: 338.5015195
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: This text presents an introduction to microeconometrics and how to do microeconometric research using Stata. The authors address each topic with an in-depth Stata example and demonstrate how to use Stata's programming features to implement methods for which Stata does not have a specific command.
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Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Main Library
Stacks 		REF 338.5015195 CAM (Browse shelf(Opens below)) Available 013371
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Includes index

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.


This text presents an introduction to microeconometrics and how to do microeconometric research using Stata. The authors address each topic with an in-depth Stata example and demonstrate how to use Stata's programming features to implement methods for which Stata does not have a specific command.

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