SPE.1 - Small area estimation using integrated and big data sources
| Alternative spatial data sources for small area estimation in developing countries | SLIDES |
| Nikos Tzavidis, Angela Luna, Kristine Nilsen, Jessica Steele |
SPE.4 - Small area estimation methods: innovations and applied issues
| Small domain estimation with calibration methods | SLIDES |
| Risto Lehtonen, Ari Veijanen |
SPE.9 - Record linkage and statistical matching techniques
| A Bayesian approach for multiple regression with linked and deduplicated data | SLIDES |
| Brunero Liseo, Rebecca C. Steorts, Andrea Tancredi |
SPE.12 - Population size estimation via integration of different sources
| Deduplication and population size estimation | SLIDES |
| Andrea Tancredi, Brunero Liseo |
CON.1 - Small area estimation
| Variable and Transformation Selection for Mixed Regression Models with Application to Small Area Estimation | SLIDES |
| Natalia Rojas-Perilla, MarÃa José LombardÃa, Esther López VizcaÃno, Cristina Rueda Sabater |
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 |
GRASPA 2019 is organised with the support of "Dipartimento di Economia", University "G. d'Annnunzio", Chieti-Pescara