Economics at your fingertips  

Non-compliance in randomized control trials without exclusion restrictions

Masayuki Sawada

Papers from

Abstract: This study presents a method to identify treatment effects without exclusion restrictions for randomized experiments with non-compliance. It exploits a baseline survey that is commonly available in randomized control trials. I show the identification of the average treatment effect on the treated (ATT) and the local average treatment effect (LATE), assuming that a baseline variable maintains similar rank orders to the control outcome. I apply this strategy to a microcredit experiment with one-sided non-compliance to identify the ATT. I find that the instrumental variable (IV) estimate of log revenue is 2.2 times larger than my preferred estimate of log revenue.

New Economics Papers: this item is included in nep-ecm, nep-exp and nep-mfd
Date: 2019-10, Revised 2019-10
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in Papers from
Bibliographic data for series maintained by arXiv administrators ().

Page updated 2019-11-24
Handle: RePEc:arx:papers:1910.03204