Title,Citation,Topic_area,Study_type,Study_evidence_rating,Outcome_effectiveness,Findings,Intervention_program,Topics,Target_population,Firm_characteristics,Geographic_setting,Original_publication_date,Original_publication_link,"Review Protocol"
"Details matter: The impact of presentation and information on the take-up of financial incentives for retirement saving","Saez, E. (2009). Details matter: The impact of presentation and information on the take-up of financial incentives for retirement saving. American Economic Journal: Economic Policy, 1(1), 204-228.","Behavioral Finance: Retirement, Behavioral Insights","Study Type: Causal Impact Analysis","Causal Evidence Rating: High Causal Evidence",,"Summary:

	
	
		The study’s objective was to examine the impact of contribution matches, credit rebates, and advance notification on tax filers’ decisions about opening an individual retirement account (IRA) during the tax preparation process and the amount they contributed to the IRA.
		The authors randomly assigned tax filers at 60 H&R Block locations in St. Louis, Missouri, to treatment conditions, defined by whether the filers were offered a 50 percent one-time match on IRA contributions, a 33 percent credit rebate on IRA contributions, or a 50 percent match on one-time and monthly IRA contributions. H&R Block provided tax filing information from the 2005 and 2006 tax years as well as background information on the filers.
		The study found that offering a 50 percent match on one-time IRA contributions and offering a 33 percent credit rebate increased the likelihood of opening an IRA and the amount contributed, but the effect on the likelihood of opening an IRA was larger for the 50 percent match treatment group.
		The quality of causal evidence is high for some outcomes because they were based on a well-implemented randomized controlled trial. This means we are confident that the estimated effects are attributable to the treatment under study, and not to other factors. However, the quality of causal evidence for other outcomes is low because the analyses were based on a nonrandom subset of the randomized sample, and the author did not use sufficient controls when estimating impacts.",,,Adult,,,2009,,"Behavioral Finance: Retirement, Behavioral Insights Review Protocol"