The econometrics of complex survey data : theory and applications / / edited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi

• Pubblicazione: Bingley : , : Emerald Publishing Limited, , [2019]; ©2019
• Descrizione fisica: 1 online resource (338 pages)
• Disciplina: 519.52
• Soggetto topico: Social surveys - Methodology; Econometrics; Sampling (Statistics); Business & Economics - Economics - General; Economics
• Soggetto genere / forma: Conference papers and proceedings.
• Persona (resp. second.): HuynhKim P.; Jacho-ChavezDavid T.; TripathiGautam
• Note generali: Includes index.
• Nota di contenuto: Prelims -- Sampling design -- Variance estimation -- Estimation and inference -- Applications in business, household, and crime surveys -- Index.
• Sommario/riassunto: 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.
• Titolo autorizzato: The econometrics of complex survey data
• ISBN: 1-78756-727-3; 1-78756-725-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910793443003321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in econometrics ; ; v. 39. . 0731-9053