The Econometrics of Complex Survey Data by Kim P Huynh
This volume of Advances in Econometrics contains a selection of papers presented at the 'Econometrics of Complex Survey Data: Theory and Applications' conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.-
Econometrics of Climate, Energy, and Green Transition
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Regression Discontinuity Designs
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Essays in Honor of Jerry Hausman
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30th Anniversary Edition
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DSGE Models in Macroeconomics
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Var Models in Macroeconomics - New Developments and Applications
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Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling
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Essays in Honor of Cheng Hsiao
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Nonstationary Panels, Panel Cointegration, and Dynamic Panels
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Bayesian Econometrics
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Econometrics and Risk Management
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Spatial and Spatiotemporal Econometrics
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Spatial Econometrics
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Maximum Likelihood Estimation of Misspecified Models
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Applying Maximum Entropy to Econometric Problems
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Messy Data
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Applications of Artificial Intelligence in Finance and Economics
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The Econometrics of Networks
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Econometric Models in Marketing
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Econometric Analysis of Financial and Economic Time Series
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Modelling and Evaluating Treatment Effects in Econometrics
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Essays in Honour of Fabio Canova
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Maximum Simulated Likelihood Methods and Applications
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Essays in Honor of Aman Ullah
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Structural Econometric Models
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Measurement Error
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Dynamic Factor Models
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Nonparametric Econometric Methods
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Bayesian Model Comparison
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Essays in Honor of M. Hashem Pesaran
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Essays in Honor of Joon Y. Park
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Essays in Honor of Subal Kumbhakar
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Essays in Honor of Peter C. B. Phillips
Exploring statistical methods for dealing with complex survey designs, 11 papers selected from an October 2017 conference in Ottawa cover survey design; variance estimation; estimation and inference; and business, household, and crime surveysTheir topics include whether the Internet can match high quality traditional surveys: comparing the Health and Retirement Study and its online version, variance estimation for survey-weighted data using bootstrap resampling methods: 2013 Methods-of-Payment survey questionnaire, inference in conditional moment restriction models where there is selection due to stratification, nearest neighbor imputation for general parameter estimation in survey sampling, and survey evidence on black market liquor in Colombia. -- Annotation ©2019 * (protoview.com) *
Kim P. Huynh, Ph.D. is a Senior Research Adviser at the Bank of Canada. His research has been published in the Journal of the American Statistical Association, the Annals of Applied Statistics, and the Journal of Industrial Economics, among others. He dedicates this book to his late father, Ninh P. Huynh and mother, Lanh T. Lam. David T. Jacho-Chávez, Ph.D. is Associate Professor of Economics at Emory University. His theoretical and applied work in Statistics and Econometrics has been published in the Journal of the American Statistical Association, the Annals of Applied Statistics, the Journal of Econometrics, Econometric Theory, and the Journal of Applied Econometrics, among others. Gautam Tripathi, Ph.D. is Professor of Econometrics at the University of Luxembourg. His research areas are Microeconometrics and Econometric Theory, and he has published papers in peer reviewed journals such as the Annals of Statistics, Econometrica, Econometric Theory, and the Journal of Econometrics.
| SKU | Unavailable |
| ISBN 13 | 9781787567269 |
| ISBN 10 | 1787567265 |
| Title | The Econometrics of Complex Survey Data |
| Author | Kim P Huynh |
| Series | Advances In Econometrics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Emerald Publishing Limited |
| Year published | 2019-04-10 |
| Number of pages | 344 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |