Back New RECSM Working Paper by M. Cannas and B. Arpino

New RECSM Working Paper by M. Cannas and B. Arpino

25.01.2018

 

We are pleased to announce that a new  RECSM Working Paper is available here. The working paper is titled "Machine learning for propensity score matching and weighting: comparing different estimation techniques and assessing different balance diagnostics", and it has been written by Massimo Cannas and RECSM's co-director Bruno Arpino. 
 

Multimedia

Categories:

SDG - Sustainable Development Goals:

Els ODS a la UPF

Contact