JESA and Replication Studies
2015 workshop in Experimental Methods: The replicability crisis in the social sciences and how to address it
Bob Slonim 27, November, 2015
JESA and Replication Studies 2015 workshop in Experimental Methods: - - PowerPoint PPT Presentation
JESA and Replication Studies 2015 workshop in Experimental Methods: The replicability crisis in the social sciences and how to address it Bob Slonim 27, November, 2015 Why a new journal for experimental economics? Demand/Growth of the field
Bob Slonim 27, November, 2015
– ESA established 1986 – Experimental Economics First Issue 1998
10 20 30 40 50 60 50 100 150 200 250 300 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Acceptance rate Number of papers
Year Number of submissions Number of original papers published Acceptance rate
Experimental Economics 2005‐2014
5 10 15 20 25 30 35 40 45 50
75-7677-7879-8081-8283-8485-8687-8889-9091-9293-9495-9697-9899-0001-0203-0405-0607-0809-1011-1213-14
Number of published exp/al papers
Year
lab experiments field experiments
Experimental Publications in “Top‐5”: 1975‐2014
100 200 300 400 500 600 700 800 900 1000 1100
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Year
ESA members ESA Conference Attendees
Growth of the ESA 2001‐2014
– Between Subject Design – Two conditions: Control (C) and Treatment (T) – Theory ‐> Hypothesis:
– Results show significant difference at the p < .05 level
– Recruits from the general population – Recruits from a communist country – Recruits children – Recruits nurses – Recruit from Identical population, but the recruitment process puts more stress on monetary rewards, or helping science, or the time involved or the nature of tasks, … – Etc
– Shown as an equation – Shown in a table – Shown graphically – Shown with different color schemes – Etc
– Increases all payoffs by a factor of 10 – Increases all payoffs by $1 – Identical payoffs but calls them experimental units rather than dollars – Determination of randomization (die roll, computerized, bingo cage) – Etc
– Minor wording changes – Read out loud – Includes review questions – Includes (different) examples – Etc
– To better understand why T>C, we run T and C, and then T1, T2, … to disentangle different hypotheses, to explore robustness, to stress test, … – It is part of the DNA of (lab) experimental economics
– Not common (rare?)
– Potential opportunities with field experiments
– Consider where the paper was published
– E.g. cognitive dissonance
– (you may not be alone)