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Table 2 Comparing Outcomes for Models One and Two: Looking at Predictors of Medicaid/CHIP Enrollment and Interaction Effects of Restrictive State Laws

From: Do state laws reduce uptake of Medicaid/CHIP by U.S. citizen children in immigrant families: evaluating evidence for a chilling effect

20 State Analysis

All Children

Immigrant Families

Only Social Welfare Law (All Children)

Only Social Welfare Law (Immigrant Families)

Restrictive Law

-0.007

(.0074)

0.003

(.0143)

0.011

(.0095)

-0.021

(.0302)

Law*Immigrant Family

-0.018*

(.0097)

NA

 − 0.055***

(.0140)

NA

Law*Non-Citizen Mother

NA

-0.023**

(.0108)

NA

-0.021

(.0350)

Law*Naturalized Mother

NA

-0.017

(.0111)

NA

-0.035

(.0211)

Immigrant Family

0.030**

(.0136)

NA

0.031**

(.0130)

NA

Citizenship of Mother

 Naturalized

-0.095***

(.0168)

-0.092***

(.0114)

-0.096***

(.0165)

-0.095***

(.0136)

 Not a Citizen

-0.007

(.0158)

0.007

(.0150)

-0.008

( .0157)

-0.000

(.0170)

Poverty Level

 101–150% of FPL

-0.152***

(.0106)

-0.142***

(.0139)

-0.153***

(.0108)

-0.143***

(.0139)

 151–200% of FPL

-0.303***

(.0124)

-0.281***

(.0155)

-0.304***

(.0125)

-0.281***

(.0155)

Hispanic Mother

 Hispanic

0.048***

(.0121)

0.063***

(.0185)

0.048***

(.0122)

0.064***

(.0184)

 Puerto Rican

0.071***

(.0187)

0.095***

(.0300)

0.071***

(.0187)

0.095***

(.0303)

 Unknown

0.032

(.0659)

0.230***

(.0659)

0.032

(.0667)

0.227***

(.0660)

Marital status of Mother

 Married-Spouse Absent

0.013

(.0190)

-0.031

(.0465)

0.013

(.0188)

-0.031

(.0466)

 Not Married

0.112***

(.0097)

0.077***

(.0130)

0.112***

(.0098)

0.077***

(.0129)

Education of Mother

 High school Grad

-0.068***

(.0107)

-0.028

(.0181)

-0.068***

(.0107)

-0.028

(.0182)

 Some College

-0.100***

(.0121)

-0.054*

(.0267)

-0.100***

(.0120)

-0.054*

(.0267)

 College Graduate

-0.233

(.0125)

-0.093***

(.0290)

-0.233***

(.0125)

-0.093***

(.0290)

 Unknown

-0.212**

(.0789)

-0.426***

(.0249)

-0.211**

(.0782)

-0.425**

(.0230)

Race of Mother

 Black

0.055***

(.0103)

0.013

(.0174)

0.055***

(.0102)

0.013

(.0171)

 American Indian

0.042

(.0296)

0.063**

(.0276)

0.043

(.0296)

0.064**

(.0272)

 Asian

0.046**

(.0172)

0.030**

(.0137)

0.045**

(.0171)

0.031**

(.0138)

 Other

-0.418***

(.0177)

-0.456***

(.0145)

-0.420***

(.0170)

-0.456***

(.0120)

 Number of Children (Mother)

0.008***

(.0016)

0.007***

(.0020)

0.008***

(.0016)

0.007***

(.0020)

 State Unemployment Rate

0.006

(.0055)

-0.002

(.0142)

0.004

(.0055)

-0.008

(.0123)

 % of State Pop. Immigrants

0.004

(.0083)

0.014

(.0175)

-.000

(.0078)

0.011

(.0155)

 % of State Non-Citizen Immigrants

0.000

(.0014)

0.001

(.0042)

0.001

(.0014)

-0.001

(.0044)

 % of State HS Grad. and above

-0.002

(.0060)

-0.011

(.0126)

-0.006

(.0061)

-0.020

(.0122)

 State Net Revenue

3.210

(1.3100)

1.130

(1.6600)

-4.720

(1.3800)

4.370

(2.2200)

Governing Party Concordance (D)

 All Republican

0.038**

(.0167)

0.051

(.0359)

0.037**

(.0152)

0.057

(.0347)

 Mixed

0.005

(.0075)

0.008

(.0151)

0.003

(.0075)

0.007

(.0142)

Pre-Analysis State Generosity

 Less Available

0.209*

(.1050)

0.293

(.2060)

0.169*

(.0973)

0.071**

(.0275)

 Somewhat Available

0.162***

(.0565)

0.210

(.1486)

0.199***

(.0588)

0.024

(.3170)

 Most Available

0.204***

(.0418)

0.317***

(.0839)

0.206***

(.0404)

0.118

(.1726)

  1. *p ≤ .1, **p ≤ .05, ***p ≤ .01
  2. All children includes all children 18 and under in state x at year y with family income 200% or below of federal poverty level. Immigrant families includes all children in an immigrant family (at least one non-native parent) 18 and under in state x at year y with family income 200% or below of federal poverty level. Only Social Welfare law includes all children in the sample and also looks at the immigrant subsample, but just includes state measures that grant additional access to means-tested programs or further restricts access to means-tested programs. This was included since it was the only law subset that proved to be significant in previous models. Includes state and year fixed effects. In this linear probability regression, data was weighted and the standard error was clustered at the state level