| Description |
1 online resource (xi, 325 pages) : illustrations |
| Series |
Advances in econometrics ; Volume 39 |
|
Advances in econometrics ; v. 39.
|
| Contents |
Can internet match high quality traditional surveys? Comparing the health and retirement study and its online version / Marco Angrisani, Brian Finley, and Arie Kapteyn -- Effectiveness of stratified random sampling for payment card acceptance and usage / Christopher S. Henry and Tamás Ilyés -- Wild bootstrap randomization inference for few treated clusters / James G. MacKinnon and Matthew D. Webb -- Variance estimation for survey-weighted data using bootstrap resampling methods: 2013 methods-of-payment survey questionnaire / Heng Chen and Q. Rallye Shen -- Model-selection tests for complex survey samples / Iraj Rahmani and Jeffrey M. Wooldridge -- Inference in conditional moment restriction models when there is selection due to stratification / Antonio Cosma, Andreï V. Kostyrka, and Gautam Tripathi -- Nonparametric kernel regression using complex survey data / Luc Clair -- Nearest neighbor imputation for general parameter estimation in survey sampling / Shu Yang and Jae Kwang Kim -- Improving response quality with planned missing data: an application to a survey of banks / Geoffrey R. Gerdes and Xuemei Liu -- Does selective crime reporting influence our ability to detect racial discrimination in the NYPD's Stop-And-Frisk program? / Steven F. Lehrer and Louis-Pierre Lepage -- Survey evidence on black market liquor in Colombia / Gustavo J. Canavire-Bacarreza, Alexander L. Lundberg, and Alejandra Montoya-Agudelo |
| Summary |
This volume of Advances in Econometricscontains 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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Sampling (Statistics)
|
|
Social surveys -- Methodology
|
|
Econometrics.
|
|
Economics.
|
|
SOCIAL SCIENCE -- Essays.
|
|
SOCIAL SCIENCE -- Reference.
|
|
Econometrics
|
|
Sampling (Statistics)
|
|
Social surveys -- Methodology
|
| Form |
Electronic book
|
| Author |
Huynh, Kim P., editor
|
|
Jacho-Chávez, David, editor
|
|
Tripathi, Gautam, editor
|
| ISBN |
9781787567252 |
|
1787567257 |
|
9781787567276 |
|
1787567273 |
|
