Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B
Editor
- Ivan Jeliazkov
- Justin L. Tobias
Abstract
Individual chapters are listed in the "Related works & more" tabSuggested Citation
Ivan Jeliazkov & Justin L. Tobias (ed.), 2019.
"Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B,"
Advances in Econometrics,
Emerald Publishing Ltd, volume 40, number aeco.2019.40b, November.
Handle: RePEc:eme:aecopp:aeco.2019.40b
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Book Chapters
The following chapters of this book are listed in IDEAS- Gholamreza Hajargasht & William E. Griffiths, 2019. "A Semiparametric Stochastic Frontier Model with Correlated Effects," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 1-28, Emerald Publishing Ltd.
- Eri Nakamura & Takuya Urakami & Kazuhiko Kakamu, 2019. "A Bayesian Stochastic Frontier Model with Endogenous Regressors: An Application to the Effect of Division of Labor in Japanese Water Supply Organizations," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 29-46, Emerald Publishing Ltd.
- Justin L. Tobias & Joshua C. C. Chan, 2019. "An Alternate Parameterization for Bayesian Nonparametric/Semiparametric Regression," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 47-64, Emerald Publishing Ltd.
- Jianghao Chu & Tae-Hwy Lee & Aman Ullah, 2019. "Variable Selection in Sparse Semiparametric Single Index Models," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 65-88, Emerald Publishing Ltd.
- Edward George & Purushottam Laud & Brent Logan & Robert McCulloch & Rodney Sparapani, 2019. "Fully Nonparametric Bayesian Additive Regression Trees," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 89-110, Emerald Publishing Ltd.
- John Geweke, 2019. "Bayesian A/B Inference," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 111-140, Emerald Publishing Ltd.
- Hedibert Freitas Lopes & Matthew Taddy & Matthew Gardner, 2019. "Scalable Semiparametric Inference for the Means of Heavy-tailed Distributions," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 141-156, Emerald Publishing Ltd.
- Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Publishing Ltd.
- Debajit Dutta & Subhra Sankar Dhar & Amit Mitra, 2019. "On Quantile Estimator in Volatility Model with Non-negative Error Density and Bayesian Perspective," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 193-210, Emerald Publishing Ltd.
- Mohammad Arshad Rahman & Shubham Karnawat, 2019. "Flexible Bayesian Quantile Regression in Ordinal Models," Advances in Econometrics, in: Ivan Jeliazkov & Justin L. Tobias (ed.), Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 211-251, Emerald Publishing Ltd.
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