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Publications (10 of 26) Show all publications
Bueno, E. & Hedlin, D. (2021). A method to find an efficient and robust sampling strategy under model uncertainty. Survey Methodology, 47(1), 75-89
Open this publication in new window or tab >>A method to find an efficient and robust sampling strategy under model uncertainty
2021 (English)In: Survey Methodology, ISSN 0714-0045, E-ISSN 1492-0921, Vol. 47, no 1, p. 75-89Article in journal (Refereed) Published
Abstract [en]

We consider the problem of deciding on sampling strategy, in particular sampling design. We propose a risk measure, whose minimizing value guides the choice. The method makes use of a superpopulation model and takes into account uncertainty about its parameters through a prior distribution. The method is illustrated with a real dataset, yielding satisfactory results. As a baseline, we use the strategy that couples probability proportional-to-size sampling with the difference estimator, as it is known to be optimal when the superpopulation model is fully known. We show that, even under moderate misspecifications of the model, this strategy is not robust and can be outperformed by some alternatives.

Keywords
Sampling design, GREG estimator, Risk Measure
National Category
Mathematics
Identifiers
urn:nbn:se:su:diva-196278 (URN)000665638700004 ()
Available from: 2021-09-06 Created: 2021-09-06 Last updated: 2022-02-25Bibliographically approved
Hedlin, D. (2020). Is there a ‘safe area’ where the nonresponse rate has only a modest effect on bias despite non-ignorable nonresponse?. International Statistical Review, 88(3), 642-657
Open this publication in new window or tab >>Is there a ‘safe area’ where the nonresponse rate has only a modest effect on bias despite non-ignorable nonresponse?
2020 (English)In: International Statistical Review, ISSN 0306-7734, E-ISSN 1751-5823, Vol. 88, no 3, p. 642-657Article in journal (Refereed) Published
Abstract [en]

Rising nonresponse rates in social surveys make the issue of nonresponse bias contentious. There are conflicting messages about the importance of high response rates and the hazards of low rates. Some articles (e.g. Groves and Peytcheva, 2008) suggest that the response rate is in general not a good predictor of survey quality. Equally, it is well known that nonresponse may induce bias and increase data collection costs.  We go back in the history of the literature of nonresponse and suggest a possible reason to the notion that even a rather small nonresponse rate makes the quality of a survey debatable. We also explore the relationship between nonresponse rate and bias, assuming non-ignorable nonresponse and focusing on estimates of totals or means. We show that there is a ‘safe area’ enclosed by the response rate on the one hand and the correlation between the response propensity and the study variable on the other hand; in this area, 1) the response rate does not greatly affect the nonresponse bias and 2) the nonresponse bias is small.

Keywords
nonresponse bias, nonresponse rate, non-ignorable response, survey quality
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:su:diva-187852 (URN)10.1111/insr.12359 (DOI)000587202000006 ()
Available from: 2020-12-16 Created: 2020-12-16 Last updated: 2022-06-27Bibliographically approved
Jutterström, M., Segnestam Larsson, O., Zetterström, S. & Hedlin, D. (2018). Anställd i det svenska civilsamhället - engagemang, ansvar och delaktighet. Stockholm: IDEA
Open this publication in new window or tab >>Anställd i det svenska civilsamhället - engagemang, ansvar och delaktighet
2018 (Swedish)Report (Other academic)
Abstract [sv]

Tack vare tidigare forskning vet vi förhållandevis mycket om hur det är att vara medlem eller frivillig i ideella organisationer i Sverige. Men hur är det att vara anställd i det svenska civilsamhället? Med denna studie vill vi bidra till kunskapen om anställdas arbetsvillkor och drivkrafter i ideella organisationer i Sverige. Områden av intresse inkluderar till exempel vad som kännetecknar organisationer med anställda i det svenska civilsamhället, vilka de anställda är och vad de har för befattningar och villkor samt hur de anställda ser på för- och nackdelar med att arbeta i ideell sektor i jämförelse med privat och offentlig sektor.

Place, publisher, year, edition, pages
Stockholm: IDEA, 2018. p. 82
National Category
Business Administration
Research subject
Business Administration
Identifiers
urn:nbn:se:su:diva-163085 (URN)
Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2022-02-26Bibliographically approved
Flygare, A.-M. & Hedlin, D. (2018). Empirical Study on the Size of Nonresponse Bias. In: JSM Proceedings, Survey Research Methods Section: . Paper presented at Joint Statistical Meetings 2018, Vancouver, Canada, July 28 - August 2, 2018. Alexandria, VA
Open this publication in new window or tab >>Empirical Study on the Size of Nonresponse Bias
2018 (English)In: JSM Proceedings, Survey Research Methods Section, Alexandria, VA, 2018Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

There are expressions for nonresponse bias, all of which require population quantities. In one expression for nonresponse bias, due to Bethlehem (1988, 2009), the bias is approximately equal to a function of the population covariance between the study variable and the response propensity (probability) and the population mean of the propensities. The covariance is hard to estimate (due to nonresponse). To empirically examine the covariance and the nonresponse bias, we have done two studies where the sample values of survey variables are known and the response propensities are estimated.The first study is a mail survey of a population of residents in the city of Solna in Sweden,20-74 years of age. The questionnaire consists of items on marital status and income; we have obtained the true values of those from the Swedish Tax Agency. We also know birth country, the type of area of residents, specific age and gender of each sampled individual.The second study is a web survey at Stockholm University, the population is faculty employees at the department of psychology. This survey is a census and the variables that we regard as our study variables are income from university and total income. The true values of income from university are given by the HR-department and total income from the Tax Agency.

Place, publisher, year, edition, pages
Alexandria, VA: , 2018
Keywords
nonresponse bias, true values, mail survey
National Category
Other Social Sciences Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:su:diva-162675 (URN)978-0-9839375-8-6 (ISBN)
Conference
Joint Statistical Meetings 2018, Vancouver, Canada, July 28 - August 2, 2018
Available from: 2018-12-06 Created: 2018-12-06 Last updated: 2022-02-26Bibliographically approved
Hedlin, D. (2017). Is there a ‘safe area’ where the nonresponserate has only a modest effect on nonresponsebias despite non-ignorable nonresponse?. Stockholm: Department of Statistics, Stockholm University
Open this publication in new window or tab >>Is there a ‘safe area’ where the nonresponserate has only a modest effect on nonresponsebias despite non-ignorable nonresponse?
2017 (English)Report (Other academic)
Abstract [en]

Rising nonresponse rates in social surveys makes the issue of nonresponse bias highly contentious. Nonresponse may induce bias and increase data collection costs. We study the relationship between response rate and bias, assuming non-ignorable nonresponse and focusing on estimates of totals or means. We show that there is a ‘safe area’ enclosed by the response rate on the one hand and the correlation between the response propensity and the study variable on the other hand; in this area, 1) the response rate does not greatly affect the nonresponse bias and 2) the nonresponse bias is small.

Place, publisher, year, edition, pages
Stockholm: Department of Statistics, Stockholm University, 2017. p. 12
Series
Research Report / Department of Statistics, Stockholm University, ISSN 0280-7564 ; 2017:2
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:su:diva-150880 (URN)
Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2022-02-28Bibliographically approved
Hedlin, D. (2017). Mitt icke-wallraffande bland undersökningar. Qvintensen (1), 9-12
Open this publication in new window or tab >>Mitt icke-wallraffande bland undersökningar
2017 (Swedish)In: Qvintensen, ISSN 2000-1819, no 1, p. 9-12Article in journal (Other (popular science, discussion, etc.)) Published
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:su:diva-144375 (URN)
Available from: 2017-06-19 Created: 2017-06-19 Last updated: 2022-02-28Bibliographically approved
Hedlin, D. (2015). Using Administrative Data for Statistical Purposes [Review]. The Survey Statistician (71), 34-41
Open this publication in new window or tab >>Using Administrative Data for Statistical Purposes
2015 (English)In: The Survey Statistician, no 71, p. 34-41Article, book review (Other academic) Published
Keywords
register-based statistics
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:su:diva-111365 (URN)
Available from: 2015-01-02 Created: 2015-01-02 Last updated: 2022-02-23Bibliographically approved
Hedlin, D. (2015). Why are design in survey sampling and design of randomised experiments separate areas of statistical science?. In: Ellinor Fackle-Fornius (Ed.), Festschrift in honor of Hans Nyquist on the occasion of his 65th birthday: (pp. 82-95). Stockholm: Department of Statistics, Stockholm University
Open this publication in new window or tab >>Why are design in survey sampling and design of randomised experiments separate areas of statistical science?
2015 (English)In: Festschrift in honor of Hans Nyquist on the occasion of his 65th birthday / [ed] Ellinor Fackle-Fornius, Stockholm: Department of Statistics, Stockholm University , 2015, p. 82-95Chapter in book (Other academic)
Place, publisher, year, edition, pages
Stockholm: Department of Statistics, Stockholm University, 2015
Keywords
design of experiments, design in surveys
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:su:diva-124016 (URN)978-91-87355-19-6 (ISBN)
Available from: 2015-12-10 Created: 2015-12-10 Last updated: 2022-02-23Bibliographically approved
Welsh, A. H., Hedlin, D. & Šova, M. G. (2013). The Stabilisation of Model Parameter Estimates from Repeated Surveys with Rare Observations. Australian & New Zeeland Journal of Statistics, 55(4), 471-491
Open this publication in new window or tab >>The Stabilisation of Model Parameter Estimates from Repeated Surveys with Rare Observations
2013 (English)In: Australian & New Zeeland Journal of Statistics, ISSN 1467-842X, Vol. 55, no 4, p. 471-491Article in journal (Refereed) Published
Abstract [en]

In many surveys, the domains of study are small and the samples that carry information on a domain can be very small indeed. If the survey is conducted repeatedly there is often a high degree of overlap in samples over time. We show how to use the richness of information over time to compensate for the paucity of cross-sectional information. We propose a model-based estimator of the population total based on stabilised parameter estimates that combine information from different survey periods that are adjacent in time.  The motivating example for this research has been the ProdCom survey as implemented in the UK.

Keywords
business survey, combining repeated surveys, conditional ratio model, model-based analysis, ProdCom, small sample sizes
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
urn:nbn:se:su:diva-97144 (URN)10.1111/anzs.12056 (DOI)000331068700008 ()
Available from: 2013-12-04 Created: 2013-12-04 Last updated: 2022-02-24Bibliographically approved
Ghilagaber, G. & Hedlin, D. (2010). Model-based indirect standardization with in-built standard population: illustration with demographic and health survey data. In: Michael Carlson, Hans Nyquist, Mattias Villani (Ed.), Official statistics : methodology and applications in honour of Daniel Thorburn (pp. 179-191). Stockholm: Department of Statistics, Stockholm University
Open this publication in new window or tab >>Model-based indirect standardization with in-built standard population: illustration with demographic and health survey data
2010 (English)In: Official statistics : methodology and applications in honour of Daniel Thorburn / [ed] Michael Carlson, Hans Nyquist, Mattias Villani, Stockholm: Department of Statistics, Stockholm University , 2010, p. 179-191Chapter in book (Other academic)
Place, publisher, year, edition, pages
Stockholm: Department of Statistics, Stockholm University, 2010
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:su:diva-46172 (URN)978-91-633-6750-2 (ISBN)
Available from: 2010-11-23 Created: 2010-11-23 Last updated: 2022-03-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5657-0342

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