The Econometrics of Complex Survey Data : Theory and Applications by Kim P. Huynh, David T. Jacho-Chavez
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Overview: 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. The papers included in this volume span a range of methodological and practical topics including survey collection comparisons, imputation mechanisms, the bootstrap, nonparametric techniques, specification tests, and empirical likelihood estimation using complex survey data.
For academics and students with an interest in econometrics and the ways in which complex survey data can be used and evaluated, this volume is essential.
"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 surveys. Their 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 Ringgold Inc. Portland, OR
Genre: Non-Fiction > General
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Requirements: .ePUB, .PDF reader, 11 MB
Overview: 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. The papers included in this volume span a range of methodological and practical topics including survey collection comparisons, imputation mechanisms, the bootstrap, nonparametric techniques, specification tests, and empirical likelihood estimation using complex survey data.
For academics and students with an interest in econometrics and the ways in which complex survey data can be used and evaluated, this volume is essential.
"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 surveys. Their 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 Ringgold Inc. Portland, OR
Genre: Non-Fiction > General
Download Instructions:
https://userupload.net/8yu7wznx8wv5
https://dropgalaxy.vip/6sx92tzhimdn
Trouble downloading? Read This.