Advances in Economics and Econometrics 2 Hardback Volume Set

Advances in Economics and Econometrics 2 Hardback Volume Set

Theory and Applications, Eleventh World Congress

Honore, Bo (Princeton University, New Jersey); Samuelson, Larry (Yale University, Connecticut); Pakes, Ariel (Harvard University, Massachusetts); Piazzesi, Monika (Stanford University, California)

Cambridge University Press

11/2017

900

Mixed media product

Inglês

9781108227247

15 a 20 dias

A collection of papers presented at the Eleventh World Congress of the Econometric Society. Written by experts in the field with the intention of bringing readers up to date on developments in these fields, this two volume set is a standard reference for graduate students and researchers in economics.
Volume 2: 1. Dynamic mechanism design: robustness and endogenous types Alessandro Pavan; 2. Learning, experimentation and information design Johannes Hoerner and Andrzej Skrzypacz; 3. Dynamic selection and reclassification risk: theory and empirics Igal Hendel; 4. Discussion of 'agency problems' Bernard Salanie; 5. Recent developments in matching theory and their practical applications Fuhito Kojima; 6. What really matters in designing school choice mechanisms Parag A. Pathak; 7. Networks and markets Sanjeev Goyal; 8. Econometrics of network models Aureo de Paula; 9. Networks in economics: remarks Rachel E. Kranton. Volume 2: 1. Opportunities and challenges: lessons from analyzing terabytes of scanner data Serena Ng; 2. Is big data a big deal for applied microeconomics Jesse M. Shapiro; 3. Low-frequency econometrics Ulrich K. Muller and Mark W. Watson; 4. Shocks, sign restrictions and identification Harald Uhlig; 5. On the distribution of the welfare losses of large recessions Dirk Krueger, Kurt Mitman and Fabrizio Peeri; 6. Computing equilibria in dynamic stochastic macro-models with heterogeneous agents Johannes Brumm, Felix Kubler and Simon Scheidegger; 7. Recent advances in empirical analysis of financial markets: industrial organization meets finance Jakub Kastl; 8. Practical and theoretical advances in inference for partially identified models Ivan A. Canay and Azeem M. Shaikh; 9. Partial identification in applied research: benefits and challenges Kate Ho and Adam M. Rosen.
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