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Wealth, Health and Child Development: Evidence From Administrative Data on Swedish Lottery Players
Last registered on July 18, 2014

Pre-Trial

Trial Information
General Information
Title
Wealth, Health and Child Development: Evidence From Administrative Data on Swedish Lottery Players
RCT ID
AEARCTR-0000442
Initial registration date
July 18, 2014
Last updated
July 18, 2014 7:37 AM EDT
Location(s)
Region
Primary Investigator
Affiliation
NYU
Other Primary Investigator(s)
Additional Trial Information
Status
On going
Start date
1979-01-01
End date
2014-12-31
Secondary IDs
Abstract
In this document we pre-specify some of the analyses that will be conducted in a paper provisionally entitled “Wealth, Health and Child Development: Evidence from Administrative Data on Swedish Lottery Players”. The paper, once complete, will report estimates of the causal impact of wealth on health and childhood development. These estimates will be obtained by exploiting the randomized assignment of about a billion dollars in lottery prize money to a large sample of Swedes who have been matched to population-wide registers.

Upon completion of stage one, we decided to augment the original paper with estimates of the intergenerational effect of wealth on child health and child development. Because there may be little overlap between the health problems that commonly afflict children and those afflicting adults, we felt that it may not be appropriate to look at the same health outcomes that were examined in stage one. The literature on child development also emphasizes the adverse impacts that early child health can have on subsequent human capital accumulation; we therefore decided to include some measures of scholastic, cognitive and non-cognitive achievement.

To avoid concerns about data-mining and specification searching, we decided to pre-specify our intergenerational analyses in this publicly available analysis plan before generating any matched datasets with child outcomes and parental lottery wealth. Specifying these analyses before testing any of our main hypotheses is intended to help make transparent the distinction between planned and exploratory (“post hoc”) analyses in the final paper. Here, we specify our list of primary outcome variables. We also describe some important aspects of the planned intergenerational analyses, including sample selection criteria and the reduced form equation to be estimated.
External Link(s)
Registration Citation
Citation
Cesarini, David. 2014. "Wealth, Health and Child Development: Evidence From Administrative Data on Swedish Lottery Players." AEA RCT Registry. July 18. https://doi.org/10.1257/rct.442-1.0.
Former Citation
Cesarini, David. 2014. "Wealth, Health and Child Development: Evidence From Administrative Data on Swedish Lottery Players." AEA RCT Registry. July 18. https://www.socialscienceregistry.org/trials/442/history/2143.
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Experimental Details
Interventions
Intervention(s)
Intervention Start Date
1979-01-01
Intervention End Date
2003-12-31
Primary Outcomes
Primary Outcomes (end points)
The outcome variables are fully specified in the enclosed analysis plan.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
This is an observational study of the children of lottery players who were (conditionally) randomly assigned lottery prizes.
Experimental Design Details
Randomization Method
Three different public lotteries (Kombilotteriet, Vinnarkonto, Triss).
Randomization Unit
The randomization units vary and are described in detail in the enclosed analysis plan.
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
Not applicable for reasons described in the analysis plan (this is an observational study of a naturally occurring randomized intervention)
Sample size: planned number of observations
Not applicable for reasons described in the analysis plan (this is an observational study of a naturally occurring randomized intervention - the sample size is not a choice variable)
Sample size (or number of clusters) by treatment arms
Not applicable for reasons described in the analysis plan (this is an observational study of a naturally occurring randomized intervention)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Stockholm Review Board of Medical Ethics
IRB Approval Date
2010-11-18
IRB Approval Number
2010/1503-31/5
IRB Name
Stockholm Review Board of Medical Ethics
IRB Approval Date
2011-05-31
IRB Approval Number
2011/584-32
IRB Name
NYU University Committee on Activities Involving Human Subjects
IRB Approval Date
2013-06-12
IRB Approval Number
13-9542
Analysis Plan
Analysis Plan Documents
Analysis Plan Final.pdf

MD5: a433439deb0bdfada24413f1ae90c9f5

SHA1: 067f3ffe88d02ff6f1d1425536b9002ae7aa82c0

Uploaded At: July 18, 2014

Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports and Papers
Preliminary Reports
Relevant Papers