The Econometrics of Complex Survey Data: Theory and Applications

by Kim P. Huynh, David T. Jacho-Chavez, Gautam Tripathi

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.

Product Details

ISBN-13:	9781787567269
Publisher:	Emerald Publishing Limited
Publication date:	04/10/2019
Series:	Advances in Econometrics , #39
Pages:	344
Product dimensions:	5.98(w) x 9.02(h) x 0.87(d)

About the Author

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.

Table of Contents

INTRODUCTION 
PART I: SAMPLING DESIGN 
1. CAN INTERNET MATCH HIGH QUALITY TRADITIONAL SURVEYS? COMPARING THE HEALTH AND RETIREMENT STUDY AND ITS ONLINE VERSION; Marco Angrisani, Brian Finley and Arie Kapteyn 
2. EFFECTIVENESS OF STRATIFIED RANDOM SAMPLING FOR PAYMENT CARD ACCEPTANCE AND USAGE; Christopher S. Henry and Tamás Ilyés 
PART II: VARIANCE ESTIMATION 
3. WILD BOOTSTRAP RANDOMIZATION INFERENCE FOR FEW TREATED CLUSTERS; James G. MacKinnon and Matthew D. Webb 
4. VARIANCE ESTIMATION USING BOOTSTRAP RESAMPLING METHODS: 2013 METHODS-OF-PAYMENT SURVEY QUESTIONNAIRE; Heng Chen and Q. Rallye Shen 
PART III: ESTIMATION AND INFERENCE 
5. MODEL SELECTION TESTS FOR COMPLEX SURVEY SAMPLES; Iraj Rahmani and Jeffrey M. Wooldridge 
6. INFERENCE IN CONDITIONAL MOMENT RESTRICTION MODELS WHEN THERE IS SELECTION DUE TO STRATIFICATION; Antonio Cosma, Andreï Kostyrka and Gautam Tripathi 
7. NONPARAMETRIC KERNEL REGRESSION USING COMPLEX SURVEY DATA; Luc Clair 
8. NEAREST NEIGHBOR IMPUTATION FOR GENERAL PARAMETER ESTIMATION IN SURVEY SAMPLING; Shu Yang and Jae Kwang Kim 
PART IV: APPLICATIONS IN BUSINESS, HOUSEHOLD, AND CRIME SURVEYS 
9. SURVEY DESIGN AND ESTIMATION WITH RANDOM QUESTIONNAIRE BLOCKING TO CONTROL FATIGUE AND NONRESPONSE IN A LARGE VOLUNTARY INSTITUTIONAL DATA COLLECTION; Geoffrey R. Gerdes and Xuemei Liu 
10. 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 
11. SURVEY EVIDENCE ON BLACK MARKET LIQUOR IN COLOMBIA; Gustavo Canavire-Bacarreza, Alexander L. Lundberg and Alejandra Montoya-Agudelo

Editorial Reviews

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

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