SPE.1 - Small area estimation using integrated and big data sources
| Measuring well-being and poverty at local level using remote sensing data | |
| Ralf Muennich, Christopher Caratiola, Hanna Dieckmann, Max Gerhards, Thomas Udelhoven |
| Small area poverty indicators adjusted using local price indexes | SLIDES |
| Stefano Marchetti, Gaia Bertarelli, Caterina Giusti, Francesco Schirripa Spagnolo, Monica Pratesi |
SPE.5 - Analysis of Official Statistics for decision making
| Composite Indicators for Measuring Socio-Economic Phenomena | SLIDES |
| Matteo Mazziotta |
| Graphical Structural Learning for Complex Survey Data | |
| Daniela Marella, Paola Vicard |
SPE.8 - Spatial sampling and applications
| Spatial sampling for the French Master Sample | SLIDES |
| Thomas Merly Alpa |
| The French National Forest Inventory survey: covering space and time at country level | SLIDES |
| François Morneau, Cédric Véga, Olivier Bouriaud |
CON.3 - Methods for the analysis of survey data
| Mind the mode: lessons from a web survey on household finances | SLIDES |
| Andrea Neri, Romina Gambacorta, Martina Lo Conte, Manuela Murgia, Roberta Rizzi, Francesca Zanichelli |
CON.4 - Advances in survey data analysis
| Passengers’ Perceptions of Airport Service Quality: A Case Study of Airports of Puglia | SLIDES |
| Rosanna Cataldo, Corrado Crocetta, Maria Gabriella Grassia, Marina Marino |
CON.5 - Non sampling error
| Response burden and data quality in business surveys: the experience of Banca d'Italia | SLIDES |
| Marco Bottone, Lucia Modugno, Andrea Neri |
This work is licensed under a Creative Commons Attribution 3.0 License.
Contact:Â itacosm2019@gmail.com