We consider policy evaluations when the Stable Unit Treatment Value Assumption (SUTVA) is violated due to the presence of interference among units. We propose to explicitly model interference as a function of units’ characteristics. Our approach is applied to the evaluation of a policy implemented in Tuscany (a region in Italy) on small handicraft firms. Results show that the benefits from the policy are reduced when treated firms are subject to high levels of interference. Moreover, the average causal effect is slightly underestimated when interference is ignored. We stress the importance of considering possible interference among units when evaluating and planning policy interventions.

Assessing the causal effects of financial aids to firms in Tuscany allowing for interference / Arpino, Bruno; Mattei, Alessandra. - In: THE ANNALS OF APPLIED STATISTICS. - ISSN 1932-6157. - STAMPA. - 10:(2016), pp. 1170-1194. [10.1214/15-AOAS902]

Assessing the causal effects of financial aids to firms in Tuscany allowing for interference

Arpino, Bruno;MATTEI, ALESSANDRA
2016

Abstract

We consider policy evaluations when the Stable Unit Treatment Value Assumption (SUTVA) is violated due to the presence of interference among units. We propose to explicitly model interference as a function of units’ characteristics. Our approach is applied to the evaluation of a policy implemented in Tuscany (a region in Italy) on small handicraft firms. Results show that the benefits from the policy are reduced when treated firms are subject to high levels of interference. Moreover, the average causal effect is slightly underestimated when interference is ignored. We stress the importance of considering possible interference among units when evaluating and planning policy interventions.
2016
10
1170
1194
Arpino, Bruno; Mattei, Alessandra
File in questo prodotto:
File Dimensione Formato  
ArpinoMattei2016_AOAS902.pdf

Accesso chiuso

Descrizione: Articolo principale
Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 548.27 kB
Formato Adobe PDF
548.27 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1016154
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 10
social impact