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. Author manuscript; available in PMC: 2014 Apr 4.
Published in final edited form as: Am Econ J Appl Econ. 2013 Apr 1;5(2):1–28. doi: 10.1257/app.5.2.1

Table 2.

Marginal Effect of Casino Transfers on Obesity and Overweight Status at Ages 19 and 21: Ordinary Least Squares and Probit Regressions

Variables OLS
BMI at
age 19
(1)
OLS
BMI at
age 19
(2)
OLS
BMI at
age 21
(3)
OLS
BMI at
age 21
(4)
Probit
obese at
age 19?
(5)
Probit
obese at
age 19?
(6)
Probit
obese at
age 21?
(7)
Probit
obese at
age 21?
(8)
Age cohort 1 × number of AI parents × average HH income
−0.637** −0.635* −0.0284** −0.0444***
(0.269) (0.327) (0.0125) (0.0167)
Age cohort 2 × number of AI parents × average HH income −0.0254 0.0446 0.00513 0.00295
(0.233) (0.277) (0.0117) (0.0169)
Age cohort 1 × number of American Indian parents −0.624 3.033* −1.105 2.813 −0.0244 0.119 −0.0525 0.175*
(1.000) (1.777) (1.196) (2.092) (0.0411) (0.0755) (0.0513) (0.102)
Age cohort 2 × number of American Indian parents 0.168 0.248 1.042 0.888 0.0100 −0.0225 0.0157 −0.0126
(0.981) (1.797) (1.144) (2.078) (0.0426) (0.0753) (0.0543) (0.104)
Age cohort 1 × average HH income 0.219 0.520*** 0.0125 0.0258*
(0.172) (0.184) (0.0103) (0.0138)
Age cohort 2 × average HH income −0.0401 0.178 −0.0121 −0.00725
(0.153) (0.178) (0.0102) (0.0142)
AI parents and average HH income −0.0694 −0.132 0.00450 0.00147
(0.181) (0.232) (0.00865) (0.0123)
Average HH income −0.157** −0.179 −0.0543 −0.276** −0.0120*** −0.0118 −0.00818 −0.0166
(0.0682) (0.113) (0.0786) (0.128) (0.00437) (0.00775) (0.00564) (0.0111)
Age cohort 1 (13 yo) 1.461** 0.0300 1.239* −2.287 0.0380 −0.0422 0.0596 −0.102
(0.705) (1.488) (0.744) (1.571) (0.0470) (0.0708) (0.0540) (0.0926)
Age cohort 2 (15 yo) 0.278 0.569 0.687 −0.583 −0.0102 0.0657 0.0189 0.0743
(0.649) (1.524) (0.728) (1.708) (0.0428) (0.0890) (0.0570) (0.120)
Number of AI parents −0.748 0.547 −1.228 0.562 −0.0379 −0.0488 −0.0952* −0.0673
(0.825) (1.415) (1.106) (1.666) (0.0379) (0.0614) (0.0498) (0.0824)
American Indian race 5.729*** 3.906*** 6.050*** 3.754*** 0.331*** 0.283*** 0.424*** 0.311***
(0.983) (0.863) (1.190) (1.035) (0.0803) (0.0795) (0.0842) (0.0797)
Sex 0.630 0.566 0.571 0.493 0.0145 0.0130 0.0508 0.0492
(0.554) (0.560) (0.610) (0.614) (0.0329) (0.0317) (0.0399) (0.0395)
Mother has a high school diploma 0.374 0.261 0.505 0.297 0.00266 −0.00236 −0.00105 −0.00869
(1.453) (1.442) (1.550) (1.552) (0.0574) (0.0553) (0.0692) (0.0676)
Mother has some college or more −0.661 −0.848 −1.785 −2.019 −0.0346 −0.0451 −0.135* −0.140*
(1.420) (1.414) (1.519) (1.534) (0.0596) (0.0590) (0.0770) (0.0777)
Average labor force participation of mother −0.358 −0.338 0.655 0.566 −0.0285 −0.0315 0.0693 0.0643
(0.882) (0.879) (0.934) (0.885) (0.0544) (0.0521) (0.0697) (0.0660)
Constant 25.65*** 25.99*** 25.48*** 27.42***
(1.602) (1.829) (1.685) (2.001)
Observations 921 921 913 913 920 920 912 912

Notes Robust standard errors in parentheses. Household income is a categorical variable where each bin is $5,000 in size. The lowest category, for instance, goes from 0 to $5,000. The second bin goes from $5,001 to $10,000, etc. The first four regressions are ordinary least squares. The final four regressions are probit regressions with marginal effects presented in the table above.

***

Significant at the 1 percent level.

**

Significant at the 5 percent level.

*

Significant at the 10 percent level.