Econometrics of Complex Survey Data: Theory and Applications (Conference) (2017 : Ottawa, Ont.) http://id.loc.gov/authorities/names/no2019062672
Title:
The econometrics of complex survey data : theory and applications / edited by Kim P. Huynh, Bank of Canada, Canada, David T. Jacho-Chávez, Emory University, USA, Gautam Tripathi, University of Luxembourg, Luxembourg.
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.
Summary:
"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"--Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.