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Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling de Ivan Jeliazkov

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Advances in Econometrics

Autor Ivan Jeliazkov, Justin Tobias
en Limba Engleză Hardback – 17 oct 2019

Volume 40B of Advances in Econometrics examines innovations in stochastic frontier analysis, nonparametric and semiparametric modeling and estimation, A/B experiments, big-data analysis, and quantile regression.

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Specificații

ISBN-13: 9781838674205
ISBN-10: 1838674209
Pagini: 272
Dimensiuni: 165 x 236 x 23 mm
Greutate: 0.5 kg
Editura: Emerald Publishing
Seria Advances in Econometrics

Notă biografică

Ivan Jeliazkov is Associate Professor of Economics at the University of California, Irvine. He has served as Series Editor for Advances in Econometrics since 2010 and has also worked on the editorial boards of JASA/TAS Reviews and the International Journal of Mathematical Modelling and Numerical Optimisation. His research encompasses Bayesian modelling and inference, simulation-based estimation, nonparametric modelling, discrete data analysis, and model comparison. Justin Tobias is Professor and Head of the Economics Department at Purdue University. He received his PhD from the University of Chicago in 1999 and has contributed to and served as an Associate Editor for several leading econometrics journals, including the Journal of Applied Econometrics and Journal of Business and Economic Statistics. His work focuses primarily on the development and application of Bayesian microeconometric methods.