scholarly journals Disparities in early intervention referral and access among a low-income safety net population: a cohort study using 2013-2015 linked administrative data

2018 ◽  
Vol 60 ◽  
pp. 22-22
Keyword(s):  
Cohort Study ◽  
Early Intervention ◽  
Administrative Data ◽  
Low Income ◽  
Safety Net ◽  
Linked Administrative Data

scholarly journals The Smoking MUMS (Maternal Use of Medications and Safety) Study: protocol for a population-based cohort study using linked administrative data

BMJ Open ◽  
2013 ◽  
Vol 3 (9) ◽  
pp. e003692 ◽  
Author(s):  
Alys Havard ◽  
Louisa R Jorm ◽  
David Preen ◽  
Michael Daube ◽  
Anna Kemp ◽  
...  
Keyword(s):  
Cohort Study ◽  
Administrative Data ◽  
Study Protocol ◽  
Population Based ◽  
Safety Study ◽  
Linked Administrative Data

scholarly journals Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net

2019 ◽  
Vol 11 (2) ◽  
pp. 176-204 ◽  
Author(s):  
Bruce D. Meyer ◽  
Nikolas Mittag
Keyword(s):  
Administrative Data ◽  
Low Income ◽  
Program Effectiveness ◽  
Safety Net ◽  
Housing Assistance ◽  
Transfer Programs ◽  
Survey Error ◽  
Poor Households ◽  
Poverty Program ◽  
Combined Data

We examine the consequences of survey underreporting of transfer programs for prototypical analyses of low-income populations. We link administrative data for four transfer programs to the CPS to correct its severe understatement of transfer dollars received. Using survey data sharply understates the income of poor households, distorts our understanding of program targeting, and greatly understates the effects of anti-poverty programs. Using the combined data, the poverty-reducing effect of all programs together is nearly doubled. The effect of housing assistance is tripled. Correcting survey error often reduces the share of single mothers falling through the safety net by one-half or more. (JEL C83, I32, I38)

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