Table 3 DiD regression results predicting third grade reading Z-score for 4254 children in Jackson, Swain, and Graham Counties, 2008–2017, as a function of American Indian race/ethnicity, duration of mother’s exposure to family cash transfer as a child, and other covariates

From: Intergenerational effects of a casino-funded family transfer program on educational outcomes in an American Indian community

Variables

Model 1

Model 2

Model 3

 

Coef

p-value

95% CI

Coef

p-value

95% CI

Coef

p-value

95% CI

AI race/ethnicity (AI)

(reference = non-AI)

−0.546

<0.0001

[−0.649 −0.442]

−0.494

<0.0001

[−0.595 −0.392]

−0.406

<0.0001

[−0.415 −0.214]

Duration of potential exposure of mother to family cash transfer in childhood (duration)a

−0.045

<0.0001

[−0.054 −0.036]

−0.043

<0.0001

[−0.052 −0.034]

−0.012

0.063

[−0.026 −0.001]

Interaction of AI * duration

0.034

0.001

[0.013 0.055]

0.028

0.007

[0.008 0.049]

0.024

0.018

[0.001 0.040]

Offspring Age at test (years)

 

77.452

<0.0001

[41.111 113.793]

66.880

0.0002

[−2.062 66.64]

Offspring Age at test2 (years)

 

−7.748

<0.0001

[−11.539 −3.958]

−6.697

0.0004

[−6.716 0.444]

Offspring Age at test3 (years)

   

0.256

0.0001

[0.124 0.387]

0.222

0.0007

[−0.025 0.224]

Male sex at birth

         

(reference = female)

 

−0.105

0.0002

[−0.160 −0.050]

−0.109

<0.0001

[−0.037 0.071]

Maternal age (years)

      

0.004

0.208

[−0.007 0.006]

Married (ref: not married)

 

 

0.003

0.930

[0.039 0.167]

Mother’s terminal degree is HS (ref: <HS grad)

 

 

0.182

<0.0001

[0.064 0.215]

Mother pursued >HS degree (ref: <HS grad)

 

 

0.566

<0.0001

[0.406 0.569]

Tobacco use during pregnancy

      

−0.056

0.111

[−0.187 −0.051]

Infant birth weight (continuous, in grams)

 

   

0.0001

0.016

[0.0000 0.0001]

Intercept included

Yes

  

Yes

  

Yes

  
  1. aThis variable indicates number of years of possible receipt of cash transfer for AI participants; for non-AI participants, it represents an age control.
  2. bWe applied generalized estimating equation regressions50 using maximum likelihood estimators, to predict the test score outcomes (PROC GENMOD in SAS). We used two-tailed tests for all statistical analyses.