Improved estimation of poisson rate distributions through a multi-mode survey design

Arbeitspapier

Researchers interested in studying the frequency of events or behaviors among a population must rely on count data provided by sampled individuals. Often, this involves a decision between live event counting, such as a behavioral diary, and recalled aggregate counts. Diaries are generally more accurate, but their greater cost and respondent burden generally yield less data. The choice of survey mode, therefore, involves a potential tradeoff between bias and variance of estimators. I use a case study comparing inferences about payment instrument use based on different survey designs to illustrate this dilemma. I then use a simulation study to show how and under what conditions a hybrid survey design can improve efficiency of estimation, in terms of mean-squared error. Overall, this work suggests that such a hybrid design can have considerable benefits as long as there is nontrivial overlap in the diary and recall samples.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Working Paper ; No. 2021-10

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Statistical Simulation Methods: General ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access ; Survey Methods; Sampling Methods
• Thema: recall surveys ; diaries ; bias ; mean-squared error ; multi-level models

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hitczenko, Marcin
• Ereignis: Veröffentlichung
• (wer): Federal Reserve Bank of Atlanta
• (wo): Atlanta, GA
• (wann): 2021

Weitere Informationen

• DOI: doi:10.29338/wp2021-10
• Handle: http://hdl.handle.net/10419/244313
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ