journal of official statistics

Journal of Official Statistics is a peer-reviewed scientific journal. The journal has an Editor-in-Chief who is responsible for ensuring that the journal focuses on current and emerging issues and challenges related to the management, production and use of official statistics and related public policy matters. The journal was established in 1985, when it replaced the Swedish language journal Statistisk Tidskrift (Statistical Review). The Journal of Official Statistics (JOS) is a quarterly peer-reviewed scientific journal published by Statistics Sweden. Of course, these probabilities are a theoretical concept and therefore unknown. Because of this, it is not always clear for practitioners what the magnitude of the R-indicator implies for bias in other survey variables, or how adjustment on auxiliary variables will affect it. JOS publishes research articles on survey methodology and other aspects of production of official statistics. With declining response rates and challenges of using RDD sampling for telephone surveys, collecting data from address-based samples has become more attractive. Journal of Survey Statistics and Methodology Sponsored by the ASA and American Association for Public Opinion Research, this journal’s objective is to include cutting-edge scholarly articles on statistical and methodological issues for sample surveys, censuses, administrative record systems, and … Furthermore, nonresponse trends do differ over countries, but not over surveys. To learn more about the use of cookies, please read our, Call for Papers Special Issue on Respondent Burden, Survey Nonresponse Trends and Fieldwork Effort in the 21st Century: Results of an International Study across Countries and Surveys, Continuing to Explore the Relation between Economic and Political Factors and Government Survey Refusal Rates: 1960–2015, Evolution of the Initially Recruited SHARE Panel Sample Over the First Six Waves, The Action Structure of Recruitment Calls and Its Analytic Implications: The Case of Disfluencies, Measurement of Interviewer Workload within the Survey and an Exploration of Workload Effects on Interviewers’ Field Efforts and Performance, Assessing Interviewer Performance in Approaching Reissued Initial Nonrespondents, Implementing Adaptive Survey Design with an Application to the Dutch Health Survey, The Effects of Nonresponse and Sampling Omissions on Estimates on Various Topics in Federal Surveys: Telephone and IVR Surveys of Address-Based Samples, A Validation of R-Indicators as a Measure of the Risk of Bias using Data from a Nonresponse Follow-Up Survey, Proxy Pattern-Mixture Analysis for a Binary Variable Subject to Nonresponse. VU University Amsterdam and Statistics Netherlands, The NetherlandsBates, Nancy, A. U.S. Census Bureau, USABeatty, Paul C., U.S. Census Bureau, USABerzofsky, Marcus, RTI International, USABijak, Jakub, University of Southampton, UKCantwell, Patrick J., U.S. Census Bureau, USAChauvet, Guillaume, ENSAI, France Chipperfield, James, ABS, AustraliaChun, Asaph Young, U.S. Census Bureau, USACohen, Michael P., Consultant, USADagum, Estela B., Consultant, USADalén, Jörgen, SwedenDalla Valle, Luciana, University of Plymouth, UKDe Leeuw, Edith D, Utrecht University, BelgiumDever, Jill, A., RTI International, USA Diiorio, Francesca, University of Naples, ItalyDomingo-Ferrer, Josep, Rovira i Virgili University, SpainEckman, Stephanie, Institute for Employment Research, GermanyEdwards, Teresa P., University of North Carolina, USAEltinge, John L., U.S Census Bureau, USAElvers, Eva, Statistics Sweden; SwedenHolmberg, Anders, ABS, AustraliaKarlberg, Martin, Eurostat, LuxembourgKarlsson, Sune, Örebro University, SwedenKott, Phillip S., RTI International, USAKrsinich, Frances, Ministry of Business, New ZealandLiang, Yuli, Örebro University, SwedenMarker, David A., Westat, Inc., USAMatei, Alina, University of Neuchâtel, SwitzerlandMeinfelder, Florian, Otto-Friedrich-University of Bamberg, GermanyMulry, Mary, H. U.S. Census Bureau, USANyquist, Hans, Stockholm University, SwedenRanalli, Maria, University of Perugia, ItalyRibe, Martin, Statistics Sweden, SwedenSakshaug, Joe, IABSalgado, David, Complutense University of MadridSchierholz, Malte IAB, GermanySchouten, Barry, Statistics Netherlands, The NetherlandsSi, Yajuan, University of Michigan, USASmith, Paul, University of Southampton, UKStåhl, Olivia, Statistics SwedenThompson, Jenny, U.S. Census Bureau, USATzavidis, Nikos, University of Southampton, UKWagner, James, University of Michigan, USAXie, Yingfu, Statistics SwedenZanutto, Elaine L., National Analysts Worldwide, USAZhang, Li-Chun, University of Southampton, UK and Statistics Norway, Norway, Book Review EditorAnn-Marie Flygare, Sweden, PublisherDe Gruyter PolandBogumiła Zuga 32A Str.01-811 Warsaw, Poland, European Reference Index for the Humanities, uses cookies to store information that enables us to optimize our website and make browsing more comfortable for you. The main aim of the journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster … This article explores some approaches for estimating response probabilities that have less heavy data requirements. The estimated response probabilities were also used to measure possible deviations from representativity of the survey response. We examine the impact of the interviewer’s disfluencies on whether a sample member accepts or declines the request for an interview as a case study. Article. Thus, after the second wave there is no further large decline in representativeness with regard to the first wave sample. Interviewer characteristics are usually assumed fixed over the fieldwork period. In this study, our aim was to continue their analysis. Modernisation of Statistics Production (MSP). The Journal of Official Statistics is a peer-reviewed scientific journal that publishes papers related to official statistics. Journal of Applied Statistics, Volume 47, Issue 16 (2020) Articles . R-indicators are increasingly used as nonresponse bias indicators. The Journal of Official Statistics is a peer-reviewed scientific journal that publishes papers related to official statistics.

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