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Advances In Economics And Econometrics: Theory And Applications, Ninth World Congress: Vol. 3 Vol.3

Advances In Economics And Econometrics: Theory And Applications, Ninth World Congress: Vol. 3 Vol.3

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  • ISBN:9780521692106
  • Editorial: Cambridge University Press
  • Fecha de la edición:
  • Encuadernación:Rústica
  • Dimensiones: 15 cm x 23 cm
  • Nº Pág.:419
  • Idiomas:Ingles

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This is the third book of three volumes containing edited versions of papers and a commentary presented at the Ninth World Congress of the Econometric Society, held in London in August 2005. The papers summarise and interpret key developments, and they discuss future directions for a wide variety of topics in economics and econometrics. The papers cover both theory and applications. Written by leading specialists in their fields, these volumes provide a unique survey of progress in the discipline.

The most rigorously focused analysis of these subjects available anywhere

Written by world-class, internationally known academics based in North America and Europe

Contains 30 essential summative statements of key topics in today's economics

1. Identification of non-additive structural functions Andrew Chesher; 2. Non-additive models with endogenous regressors Guido W. Imbens; 3. Heterogeneity and microeconomics modeling Martin Browning and Jesus Carro; 4. Heterogeneous choice Rosa L. Matzkin; 5. Modeling heterogeneity Arthur Lewbel; 6. Inference with weak instruments Donald W. K. Andrews and James H. Stock; 7. Empirical likelihood methods in econometrics: theory and practice Yuichi Kitamura; 8. Weak instruments and empirical likelihood: a discussion of the papers by D. W. K. Andrews, J. H. Stock and Y. Kitamura Richard J. Smith; 9. Estimating continuous-time models with discretely sampled data Yacine Aït-Sahalia; 10. Variation, jumps and high frequency data in financial econometrics Ole E. Barndorff-Nielsen and Neil Shephard; 11. Discussion of Aït-Sahalia and Barndorff-Nielsen and Shephard Oliver Linton and Ilze Kalnina; 12. Understanding bias in nonlinear panel models: some recent developments Manuel Arellano and Jinyong Hahn; 13. Fixed and random effects in nonlinear panel data model, a discussion of a paper by Manuel Arellano and Jinyong Hahn Tiemen M. Woutersen.

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