Normal view MARC view ISBD view

Micro Econometrics Methods and Applications

By: Cameron, Colin.A Contributor(s): Trivedi,Pravin K Material type: Text

TextPublication details: United Kingdom: Cambridge University Press, 2020Description: xxii,1034pISBN: 9780521848053Subject(s): Econometrics | Microeconomics -- Econometric modelsDDC classification: 338.5015195

Contents:

1. Overview -- 2. Causal and noncasual models -- 3. Microeconomic data structures -- 4. Linear models -- 5. Maximum likelihood and nonlinear least-squares estimation -- 6. Generalized method of moments and systems estimation -- 7. Hypothesis tests -- 8. Specification tests and model selection -- 9. Semiparametric methods -- 10. Numerical optimization -- 11. Bootstrap methods -- 12. Simulation-based methods -- 13. Bayesian methods -- 14. Binary outcome models -- 15. Multinomial models -- 16. Tobit and selection models -- 17. Transition data : survival analysis -- 18. Mixture models and unobserved heterogeneity -- 19. Models of multiple hazards -- 20. Models of count data -- 21. Linear panel models : basics -- 22. Linear panel models : extensions -- 23. Nonlinear panel models -- 24. Stratified and clustered samples -- 25. Treatment evaluation -- 26. Measurement error models -- 27. Missing data and imputation --

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 1 )
Comments ( 0 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	338.5015195 CAM/M (Browse shelf(Opens below))	Available		051158

Total holds: 0

1. Overview --
2. Causal and noncasual models --
3. Microeconomic data structures --
4. Linear models --
5. Maximum likelihood and nonlinear least-squares estimation --
6. Generalized method of moments and systems estimation --
7. Hypothesis tests --
8. Specification tests and model selection --
9. Semiparametric methods --
10. Numerical optimization --
11. Bootstrap methods --
12. Simulation-based methods --
13. Bayesian methods --
14. Binary outcome models --
15. Multinomial models --
16. Tobit and selection models --
17. Transition data : survival analysis --
18. Mixture models and unobserved heterogeneity --
19. Models of multiple hazards --
20. Models of count data --
21. Linear panel models : basics --
22. Linear panel models : extensions --
23. Nonlinear panel models --
24. Stratified and clustered samples --
25. Treatment evaluation --
26. Measurement error models --
27. Missing data and imputation --

There are no comments on this title.

to post a comment.