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Microeconometrics using Stata : Volume I and II / A. Colin Cameron, Pravin K. Trivedi

By: Cameron, A. Colin [autor]Contributor(s): Trivedi, Pravin K [autor.]Material type: TextTextPublisher: College Station, Texas : Stata Press, 2022Edition: Second editionDescription: 2 volúmenes: xi; 1675 páginas : ilustraciones, gráficas ; 23 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781597183611; 9781597183598Other title: Volume I. Cross-sectional and panel regression methods | Volume II. Nonlinear models and casual inference methodsSubject(s): Econometría -- Procesamiento electrónico de datos | Análisis de regresión | Minería de datos -- Programas para computador | Modelos econométricos | Modelos matemáticos | StataDDC classification: 330.015195 Online resources: Recurso digital
Contents:
1. Stata basics ; 2. Data management and graphics ; 3. Linear regression basics ; 4. Linear regression extentions ; 5.Simulation ; 6. Linear regression with correlated errors ; Linear instrumental-variables regression ; 8. Linear panel-data models: Basisc ; 9. Linear panel-data models: extentions ; 10. Introduction to nonlinear regression : 11. Test or hypotheses and model specification : 12. Bootstrap methods ; 13. Nonlinear regression models : 14. Flexible regression: Finite mixtures and nosparametric : 15. Quantile regression Volumen II: 16. Nolinear optimization methods ; 17. Binary outcome models ; 18. Multimonial models ; 19. Tobit and selection models ; 20. Count-data models ; 21. Survival analysis for duration data ; 22. Nonlinear panels models ; 23. Parametric models fir heterogeneity and endogeneity ; 24. Randomized control trials and exogenus treatment effects ; 25. Endogenous treatment effects ; 26. Spatial regression ; 27. Semiparametric regression ; 28. Machine learning for prediction and inference ; 29. Bayesian methods: Basics ; 30. Bayesian methods: Markiv chain Monte Carlo algorithms.
Abstract: Microeconometrics Using Stata, Second Edition is aimed at both students and researchers of economics and related social sciences. The first volume is intended to be a self-contained treatment that might also be used as an applied econometrics course text. It focuses on the linear regression model and includes instrumental-variables estimation, random- and fixed- effects models, quantile regression, and analytical and bootstrap inference. It additionally provides a brief introduction to nonlinear regression models. The second volume covers models for binary, multinomial, censored, duration, and count outcomes for both cross-sectional and panel datasets. It then covers causal methods for exogenous and endogenous treatment evaluations, spatial regression, semiparametric methods, machine learning for prediction and for causal inference, and Bayesian methods. editor.
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Libros Libros Biblioteca CESA

Diagonal 34 A No. 5 A - 23 

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General 330.015195 / C182m 2022 (Browse shelf(Opens below)) Vol.1 Ej.1 Available (Sin restricciones) 7109102099
Libros Libros Biblioteca CESA

Diagonal 34 A No. 5 A - 23 

Casa Incolda

PBX: 339 53 00

serviciosbiblioteca@cesa.edu.co

Piso 1
General 330.015195 / C182m 2022 (Browse shelf(Opens below)) Vol.2 Ej.1 Available (Sin restricciones) 7109102100
Total holds: 0

Incluye índice de materias

1. Stata basics ; 2. Data management and graphics ; 3. Linear regression basics ; 4. Linear regression extentions ; 5.Simulation ; 6. Linear regression with correlated errors ; Linear instrumental-variables regression ; 8. Linear panel-data models: Basisc ; 9. Linear panel-data models: extentions ; 10. Introduction to nonlinear regression : 11. Test or hypotheses and model specification : 12. Bootstrap methods ; 13. Nonlinear regression models : 14. Flexible regression: Finite mixtures and nosparametric : 15. Quantile regression Volumen II: 16. Nolinear optimization methods ; 17. Binary outcome models ; 18. Multimonial models ; 19. Tobit and selection models ; 20. Count-data models ; 21. Survival analysis for duration data ; 22. Nonlinear panels models ; 23. Parametric models fir heterogeneity and endogeneity ; 24. Randomized control trials and exogenus treatment effects ; 25. Endogenous treatment effects ; 26. Spatial regression ; 27. Semiparametric regression ; 28. Machine learning for prediction and inference ; 29. Bayesian methods: Basics ; 30. Bayesian methods: Markiv chain Monte Carlo algorithms.

Microeconometrics Using Stata, Second Edition is aimed at both students and researchers of economics and related social sciences. The first volume is intended to be a self-contained treatment that might also be used as an applied econometrics course text. It focuses on the linear regression model and includes instrumental-variables estimation, random- and fixed- effects models, quantile regression, and analytical and bootstrap inference. It additionally provides a brief introduction to nonlinear regression models. The second volume covers models for binary, multinomial, censored, duration, and count outcomes for both cross-sectional and panel datasets. It then covers causal methods for exogenous and endogenous treatment evaluations, spatial regression, semiparametric methods, machine learning for prediction and for causal inference, and Bayesian methods. editor.

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