IDEAS home Printed from https://ideas.repec.org/r/bla/stanee/v66y2012i1p41-63.html

Topics of statistical theory for register‐based statistics and data integration

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Paulina Pankowska & Daniel Oberski & Mauricio Garnier-Villarreal & Dimitris Pavlopoulos, 2025. "The effect of measurement error on clustering," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(5), pages 4825-4860, October.
  2. Reid Giles & Zabala Felipa & Holmberg Anders, 2017. "Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ," Journal of Official Statistics, Sciendo, vol. 33(2), pages 477-511, June.
  3. Skinner, Chris J., 2017. "Comments on the Rao and Fuller (2017) paper," LSE Research Online Documents on Economics 86537, London School of Economics and Political Science, LSE Library.
  4. Bakker Bart F.M. & Heijden Peter G.M. van der & Scholtus Sander, 2015. "Preface," Journal of Official Statistics, Sciendo, vol. 31(3), pages 349-355, September.
  5. Fulvia Cerroni & Grazia Di Bella & Lorena Galiè, 2014. "Evaluating administrative data quality as inputof the statistical production process," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 16(1-2), pages 117-146.
  6. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2024. "Augmenting business statistics information by combining traditional data with textual data: a composite indicator approach," METRON, Springer;Sapienza Università di Roma, vol. 82(1), pages 71-91, April.
  7. Serena Pattaro & Nick Bailey & Chris Dibben, 2020. "Using Linked Longitudinal Administrative Data to Identify Social Disadvantage," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 865-895, February.
  8. Jae‐Kwang Kim & Siu‐Ming Tam, 2021. "Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference," International Statistical Review, International Statistical Institute, vol. 89(2), pages 382-401, August.
  9. Elżbieta Gołata, 2015. "SAE education challenges to academics and NSI," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(4), pages 611-630, December.
  10. John L. Czajka & Mathew Stange, "undated". "Transparency in the Reporting of Quality for Integrated Data: A Review of International Standards and Guidelines," Mathematica Policy Research Reports 984e8919667b48ab9aabcbbcb, Mathematica Policy Research.
  11. Boeschoten Laura & Vink Gerko & Hox Joop J.C.M., 2017. "How to Obtain Valid Inference under Unit Nonresponse?," Journal of Official Statistics, Sciendo, vol. 33(4), pages 963-978, December.
  12. Fabrizio Antolini & Laura Grassini, 2020. "Methodological problems in the economic measurement of tourism: the need for new sources of information," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1769-1780, December.
  13. Boeschoten Laura & Oberski Daniel & de Waal Ton, 2017. "Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC)," Journal of Official Statistics, Sciendo, vol. 33(4), pages 921-962, December.
  14. Thomas, Antonio & Scandurra, Giuseppe & Carfora, Alfonso, 2024. "Conceptualizing an interpretative framework for energy transition among Italian innovative small and medium enterprises," Energy Policy, Elsevier, vol. 195(C).
  15. Li-Chun Zhang & Ib Thomsen & Øyvin Kleven, 2013. "On the Use of Auxiliary and Paradata for Dealing With Non-sampling Errors in Household Surveys," International Statistical Review, International Statistical Institute, vol. 81(2), pages 270-288, August.
  16. David J. Hand, 2018. "Statistical challenges of administrative and transaction data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 555-605, June.
  17. Simona Ballabio & Marianna Filandri & Lia Pacelli & Flavio Verrecchia, 2022. "Poverty of Young People: Context and Household Effects in North-Western Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 819-842, June.
  18. Silvia Biffignandi & Alessandro Zeli, 2021. "Longitudinal business data construction and quality: Two different approaches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(2), pages 92-114, May.
  19. Maciej Berk{e}sewicz & Greta Bia{l}kowska & Krzysztof Marcinkowski & Magdalena Ma'slak & Piotr Opiela & Robert Pater & Katarzyna Zadroga, 2019. "Enhancing the Demand for Labour survey by including skills from online job advertisements using model-assisted calibration," Papers 1908.06731, arXiv.org.
  20. Ton de Waal & Arnout van Delden & Sander Scholtus, 2020. "Multi‐source Statistics: Basic Situations and Methods," International Statistical Review, International Statistical Institute, vol. 88(1), pages 203-228, April.
  21. Thijs C. Carrière & Laura Boeschoten & Bella Struminskaya & Heleen L. Janssen & Niek C. Schipper & Theo Araujo, 2025. "Best practices for studies using digital data donation," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 389-412, February.
  22. van Delden Arnout & Lorenc Boris & Struijs Peter & Zhang Li-Chun, 2018. "Letter to the Editor," Journal of Official Statistics, Sciendo, vol. 34(2), pages 573-580, June.
  23. Alfonso Carfora & Giuseppe Scandurra & Antonio Thomas, 2021. "Determinants of environmental innovations supporting small‐ and medium‐sized enterprises sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2621-2636, July.
  24. Arnout Delden & Joep Burger & Marco Puts, 2023. "Ten propositions on machine learning in official statistics," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 17(3), pages 195-221, December.
  25. Gołata Elżbieta, 2016. "Shift in Methodology and Population Census Quality," Statistics in Transition New Series, Statistics Poland, vol. 17(4), pages 631-658, December.
  26. Elżbieta Gołata, 2015. "Sae Education Challenges To Academics And Nsi," Statistics in Transition New Series, Polish Statistical Association, vol. 16(4), pages 611-630, December.
  27. Beręsewicz Maciej, 2019. "Correlates of Representation Errors in Internet Data Sources for Real Estate Market," Journal of Official Statistics, Sciendo, vol. 35(3), pages 509-529, September.
  28. Lothian Jack & Holmberg Anders & Seyb Allyson, 2019. "An Evolutionary Schema for Using “it-is-what-it-is” Data in Official Statistics," Journal of Official Statistics, Sciendo, vol. 35(1), pages 137-165, March.
  29. Gołata Elżbieta, 2015. "Sae Education Challenges to Academics and NSI," Statistics in Transition New Series, Statistics Poland, vol. 16(4), pages 611-630, December.
  30. Elżbieta Gołata, 2016. "Shift In Methodology And Population Census Quality," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 631-658, December.
  31. Di Cecco Davide & Di Zio Marco & Filipponi Danila & Rocchetti Irene, 2018. "Population Size Estimation Using Multiple Incomplete Lists with Overcoverage," Journal of Official Statistics, Sciendo, vol. 34(2), pages 557-572, June.
  32. Fabrizio Antolini & Laura Grassini, 2020. "Issues in Tourism Statistics: A Critical Review," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 1021-1042, August.
  33. Maciej Beręsewicz, 2017. "A Two-Step Procedure to Measure Representativeness of Internet Data Sources," International Statistical Review, International Statistical Institute, vol. 85(3), pages 473-493, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.