ESTP Course on Behavioural economics
Assistance for the organisation of the European Statistical Training Programme (ESTP) – Behavioural economics course
Within the framework of Eurostat’s European Statistical Training Programme (ESTP), DevStat in consortium with the Lithuanian Department of Statistics and the National Statistical Institute of Bulgaria held a three day course on “Management of respondent and user behaviour: towards the optimal questionnaire” in Valencia on 19th -21st June 2017.
The course was taught by Dr José Vila (course leader) and Mr Carlo Capuano and it was attended by thirteen participants from several National Statistical Institutes within the European Statistical System (ESS) and from candidate countries.
The objective of the course was to provide the participants with basic knowledge on behavioural economics (BE), understanding of the role of behavioural insights in the European Statistical System and the needed skills to apply BE good practices to enhance data collection and dissemination.
The content of the course covered the following topics: behavioural insights of respondent and users, changing respondent behaviour, behavioural economic experiments in in official statistics, behavioural insights of the use of statistical information and for questionnaire design. On the second day a BE experiment was organised for the participants.
DevStat thanks the trainers and also the participants for their commitment during the course.
DevStat at the 61st ISI World Statistics Congress (WSC)
DevStat is very pleased to announce that our company will be attending the 61st ISI World Statistics Congress (WSC), which will take place in Marrakech next month (16 – 21 July 2017).
The biennial WSC is the flagship conference of the International Statistical Institute (ISI) and its seven associations. It brings together eminent statisticians and members of the statistical community from the five continents to present, discuss, promote and disseminate research and best practices in every field of Statistics and its applications.
During the event, DevStat will have a stand where you will always find one of us to discuss possible future collaborations or opportunities for work (Paola Votta).
On the other hand, some of our in-house experts will participate as Chair of sessions (José Cervera in Session IPS099) or presenting their papers (Flora Carausu and Margarita Rohr).
We have no doubt that taking part in ISI2017 will be a great and enjoyable opportunity for sharing experiences and networking. Please, feel free to inform us if you will also join the event. We really hope to see you there.
Best regards,
DevStat’s team
Assistance for the organisation of ESTP Courses
Assistance for the organisation of the ESTP – Course on Machine Learning
Within the framework of Eurostat’s European Statistical Training Programme (ESTP), DevStat in consortium with the Lithuanian Department of Statistics and the National Statistical Institute of Bulgaria held a three-day course on “Machine learning econometrics” in Valencia on 12-14 June 2017.
The course was taught by Mr José Luis Cervera (course leader) together with Mr Iván Arribas and Mr Francisco Rangel and it was attended by fifteen participants from several National Statistical Institutes within the European Statistical System (ESS), but also from other Institutions.
The objective of the course was to provide the participants with innovative algorithm-based econometric techniques for data analysis, with application to datasets from official statistics as well as from other sources (Big Data, text data).
The content of the course covered the following topics: examples of use of econometric methods in Official Statistics; model-based vs algorithm based inference; machine-learning and computational issues; machine-learning linear estimation; machine-learning non-linear estimation methods; econometric analysis applied to textual data and manipulation of big data sources (SQL and NoSQL databases).
DevStat thanks the trainers and also the participants for their commitment during the course sessions.
