List of Publications

Statistics Netherlands publication period (2023 - current)

Links to other publications 1, 2, 3, 4, 5, 6, 7.

Daas, P.J.H., De Miguel, B., De Miguel, M. (2023) Identifying Drone Web Sites in Multiple Countries and Languages with a Single Model. Journal of Data Science, 1-14. DOI-link (available online).

Daas, P., Verweij, R., Evenhuis, P., Dijkstra, K., Bleker, S. (2023) Validation of the Social Tension Indicator (in Dutch). Statistics Netherlands report, The Hague/Heerlen, The Netherlands.6 (report).

Daas, P., Hassink, W., Klijs, B. (2023) On the Validity of Using Webpage Texts to Identify the Target Population of a Survey: An Application to Detect Online Platforms. IZA - Institute of Labor Economics discussion paper 15941, February. (report).

Daas, P., Puts, M. (2023) Lessons learned when applying Machine Learning in Official Statistics: Why it helps to be a survey statistician and a data scientist! Presentation for the UNECE Machine Learning for Official Statistics Workshop 2023, Geneva, Switzerland. (Link to abstract and paper).

Gootzen, Y.A.P.M., Daas, P.J.H., van Delden, A. (2023) Quality Framework for combining survey, administrative and big data for official statistics. Statistical Journal of the IAOS. DOI: 10.3233/SJI-220110. (prepress link).

Cremers, D., Daas, P., Polder, M., van Roekel, R., Vancauteren, M., Visser, C. (2023) The Impact of innovation on Firm Performance: The Role of Micro-firms in the Netherlands. Paper and presentation at the Economic Statistics Centre of Excellence (ESCoE) conference on Economic Measurement 2023, May 18, Londen, UK.

Daas, P. (2023) Big Data in Official Statistics. Inaugural speech at the Eindhoven University of Technology, The Netherlands, May 26. (speech and slides (pdf)).

The list of publications starts here. My presentations are also shared on SlideShare.