The econometrics of complex survey data : theory and applications

著者

    • Huynh, Kim P.
    • Jacho-Chávez, David T.
    • Tripathi, Gautam
    • Econometrics of Complex Survey Data (Conference)

書誌事項

The econometrics of complex survey data : theory and applications

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

（Advances in econometrics : a research annual / editors, R.L. Basmann, George F. Rhodes, Jr, v. 39）

Emerald, 2019

  • : print

大学図書館所蔵 件 / 全18件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

"The papers in this volume of Advances in Econometrics were presented at the "Econometrics of Complex Survey Data: Theory and Application s" conference organized by the Bank of Canada, Ottawa, Canada, from October 19 to 20, 2017." --intro.

内容説明・目次

内容説明

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.

目次

  • 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 Tamas Ilyes 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, Andrei 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

「Nielsen BookData」 より

関連文献： 1件中  1-1を表示

詳細情報

ページトップへ