D10. Combining information in socio-economic modelling and forecasting

This session concerns with different techniques in separating, extracting and combining information from data of different natures, such as qualitative and quantitative data and data from different structures, such as mixed-frequencies data, to infer policy decisions and forecast socio-economic outcomes. Both theoretical and empirical papers are welcome.