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Microeconometrics Using Stata

Revised Edition

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This revised edition offers a comprehensive and current overview of microeconometric methods using Stata, serving as an excellent introduction to the field and research execution. It addresses topics often overlooked in standard microeconometrics textbooks and basic Stata introductions. Updated for Stata 11, it replaces the mfx and user-written margeff commands with the new margins command, focusing on marginal effects at the means and average marginal effects. The xi command is also replaced with factor variables, enabling the specification of indicator variables and interaction effects. New examples include the gmm command for generalized method of moments and nonlinear instrumental-variables estimation, while the chapter on maximum likelihood estimation reflects enhancements made to ml in Stata 11. The authors utilize simulation methods to clarify the estimators and tests discussed, providing detailed Stata examples for each topic. They also demonstrate how to leverage Stata's programming capabilities for methods lacking specific commands. This unique blend of topics, intuitive method introductions, and thorough Stata illustrations makes this resource an essential, practical addition for anyone engaged in microeconometric methods.

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Microeconometrics Using Stata, A. Colin Cameron, Pravin K. Trivedi

Taal
Jaar van publicatie
2010
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Titel
Microeconometrics Using Stata
Ondertitel
Revised Edition
Taal
Engels
Uitgever
Stata Press
Jaar van publicatie
2010
Formaat
Paperback
Aantal pagina's
706
ISBN10
1597180734
ISBN13
9781597180733
Reeks
Beoordeling
4,3 van 5
Aantekening
This revised edition offers a comprehensive and current overview of microeconometric methods using Stata, serving as an excellent introduction to the field and research execution. It addresses topics often overlooked in standard microeconometrics textbooks and basic Stata introductions. Updated for Stata 11, it replaces the mfx and user-written margeff commands with the new margins command, focusing on marginal effects at the means and average marginal effects. The xi command is also replaced with factor variables, enabling the specification of indicator variables and interaction effects. New examples include the gmm command for generalized method of moments and nonlinear instrumental-variables estimation, while the chapter on maximum likelihood estimation reflects enhancements made to ml in Stata 11. The authors utilize simulation methods to clarify the estimators and tests discussed, providing detailed Stata examples for each topic. They also demonstrate how to leverage Stata's programming capabilities for methods lacking specific commands. This unique blend of topics, intuitive method introductions, and thorough Stata illustrations makes this resource an essential, practical addition for anyone engaged in microeconometric methods.