Experimentation at Scale | Zendy

Karthik Muralidharan | Zendy; Paul Niehaus | Zendy

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Experimentation at Scale

Author(s) -

Karthik Muralidharan,

Paul Niehaus

Publication year - 2017

Publication title -

the journal of economic perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.614

H-Index - 196

eISSN - 1944-7965

pISSN - 0895-3309

DOI - 10.1257/jep.31.4.103

Subject(s) - randomized experiment , scale (ratio) , computer science , sampling frame , sampling (signal processing) , econometrics , frame (networking) , work (physics) , unit (ring theory) , randomization , randomized controlled trial , data science , industrial engineering , statistics , psychology , mathematics , mathematics education , sociology , engineering , medicine , geography , population , cartography , mechanical engineering , telecommunications , demography , filter (signal processing) , surgery , computer vision

This paper makes the case for greater use of randomized experiments “at scale.” We review various critiques of experimental program evaluation in developing countries, and discuss how experimenting at scale along three specific dimensions – the size of the sampling frame, the number of units treated, and the size of the unit of randomization – can help alleviate them. We find that program evaluation randomized controlled trials published in top journals over the last 15 years have typically been “small” in these senses, but also identify a number of examples – including from our own work – demonstrating that experimentation at much larger scales is both feasible and valuable.

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