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  • Search: isPartOf:"Journal of the Royal Statistical Society: Series A (Statistics in Society)"
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COVID‐19 2 data quality 2 official statistics 2 small area estimation 2 Alzheimer's disease 1 CPI 1 Causal inference 1 Causal mediation analysis 1 Causality 1 Cognitive neuroscience 1 Distributional regression 1 Facebook 1 Fertility 1 Gene expression 1 Generalized additive models for location, scale and shape 1 Graphical models 1 HMGA2 gene 1 Head‐and‐neck squamous cell carcinoma 1 Hidden Markov model 1 Hot hand 1 Human papilloma‐virus 1 IAB Job Vacancy Survey 1 Instrumental variable 1 Mediation 1 NLP 1 PC algorithm 1 Poisson panel regression 1 Protein 53 signalling pathway 1 Public health 1 SPREE 1 Socio‐economic determinants 1 Sports statistics 1 State space model 1 Time series 1 Training 1 Treatment effects 1 arms transfers 1 bias 1 census 1 cognitive response process 1
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Undetermined 408 Free 22
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Article 430
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Article 22
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English 430
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Kumar, Kuldeep 8 King, Thomas 6 Schmid, Timo 6 Shalabh 6 Aalabaf‐Sabaghi, Morteza 5 Chaturvedi, Anoop 5 Dietz, Sebastian 5 Tzavidis, Nikos 5 Kauermann, Göran 4 De Stavola, Bianca L. 3 Gelfand, Alan E. 3 Gummer, Tobias 3 Rojas‐Perilla, Natalia 3 Shpitser, Ilya 3 Silber, Henning 3 Zhang, Li‐Chun 3 Zins, Stefan 3 Ahrens, Wolfgang 2 Allan Reese, R. 2 Andrews, Ryan M. 2 Bach, Ruben L. 2 Baio, Gianluca 2 Bartolucci, Francesco 2 Behrens, Thomas 2 Bijlsma, Maarten J. 2 Blangiardo, Marta 2 Blom, Annelies G. 2 Bowman, Adrian W. 2 Briseño Sanchez, Guillermo 2 Buchanan, Ashley L. 2 Bullerdiek, Jörn 2 Carlson, Michelle C. 2 Chambers, Ray 2 Chaves, Paulo H. M. 2 Chen, Li‐Pang 2 Cornesse, Carina 2 Dellaportas, Petros 2 Deutscher, Christian 2 Didelez, Vanessa 2 Dorsett, Richard 2
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Journal of the Royal Statistical Society: Series A (Statistics in Society) 430
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Other ZBW resources 408 EconStor 22
Showing 1 - 10 of 430
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Is Facebook's advertising data accurate enough for use in social science research? Insights from a cross‐national online survey
Grow, André; Perrotta, Daniela; Del Fava, Emanuele; … - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S343-S363
Social scientists increasingly use Facebook's advertising platform for research, either in the form of conducting digital censuses of the general population, or for recruiting participants for survey research. Both approaches depend on the accuracy of the data that Facebook provides about its...
Persistent link: https://www.econbiz.de/10014503596
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Fertility, economic incentives and individual heterogeneity: Register data‐based evidence from France and Germany
Lipowski, Cäcilia; Wilke, Ralf A.; Koebel, Bertrand - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S515-S546
This study demonstrates the importance of accounting for correlated unobserved heterogeneity to correctly identify the relevance of career and education for fertility decisions. By exploiting individual‐level life‐cycle information on fertility, career and education from large administrative...
Persistent link: https://www.econbiz.de/10014503853
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Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour
Silber, Henning; Breuer, Johannes; Beuthner, Christoph; … - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S387-S407
Combining surveys and digital trace data can enhance the analytic potential of both data types. We present two studies that examine factors influencing data sharing behaviour of survey respondents for different types of digital trace data: Facebook, Twitter, Spotify and health app data. Across...
Persistent link: https://www.econbiz.de/10014503920
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Understanding political news media consumption with digital trace data and natural language processing
Bach, Ruben L.; Kern, Christoph; Bonnay, Denis; Kalaora, Luc - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S246-S269
Augmenting survey data with digital traces is a promising direction for combining the advantages of active and passive data collection. However, extracting interpretable measurements from digital traces for social science research is challenging. In this study, we demonstrate how to obtain...
Persistent link: https://www.econbiz.de/10014503940
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Non‐participation in smartphone data collection using research apps
Keusch, Florian; Bähr, Sebastian; Haas, Georg‐Christoph - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S225-S245
Research apps allow to administer survey questions and passively collect smartphone data, thus providing rich information on individual and social behaviours. Agreeing to this novel form of data collection requires multiple consent steps, and little is known about the effect of...
Persistent link: https://www.econbiz.de/10014504047
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Credit line exposure at default modelling using Bayesian mixed effect quantile regression
Betz, Jennifer; Nagl, Maximilian; Rösch, Daniel - In: Journal of the Royal Statistical Society: Series A … 185 (2022) 4, pp. 2035-2072
For banks, credit lines play an important role exposing both liquidity and credit risk. In the advanced internal ratings‐based approach, banks are obliged to use their own estimates of exposure at default using credit conversion factors. For volatile segments, additional downturn estimates are...
Persistent link: https://www.econbiz.de/10014504169
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Analysing establishment survey non‐response using administrative data and machine learning
Küfner, Benjamin; Sakshaug, Joseph W.; Zins, Stefan - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S310-S342
Declining participation in voluntary establishment surveys poses a risk of increasing non‐response bias over time. In this paper, response rates and non‐response bias are examined for the 2010–2019 IAB Job Vacancy Survey. Using comprehensive administrative data, we formulate and test...
Persistent link: https://www.econbiz.de/10014504344
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Intercensal updating using structure‐preserving methods and satellite imagery
Koebe, Till; Arias‐Salazar, Alejandra; … - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S170-S196
Censuses are fundamental building blocks of most modern‐day societies, yet collected every 10 years at best. We propose an extension of the widely popular census updating technique structure‐preserving estimation by incorporating auxiliary information in order to take ongoing subnational...
Persistent link: https://www.econbiz.de/10014504440
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Estimating regional income indicators under transformations and access to limited population auxiliary information
Würz, Nora; Schmid, Timo; Tzavidis, Nikos - In: Journal of the Royal Statistical Society: Series A … 185 (2022) 4, pp. 1679-1706
Spatially disaggregated income indicators are typically estimated by using model‐based methods that assume access to auxiliary information from population micro‐data. In many countries like Germany and the UK population micro‐data are not publicly available. In this work we propose small...
Persistent link: https://www.econbiz.de/10014504535
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Consistent aggregation with superlative and other price indices
von Auer, Ludwig; Wengenroth, Jochen - In: Journal of the Royal Statistical Society: Series A … 184 (2021) 2, pp. 589-615
Various fields of economic analysis (e.g. growth and productivity) and economic policy (e.g. monetary and social policy) rely on accurate measures of price change. Unfortunately, the price index formulae that most price statisticians consider as particularly accurate—the superlative indices of...
Persistent link: https://www.econbiz.de/10012509515
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