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. Author manuscript; available in PMC: 2016 Mar 2.
Published in final edited form as: Int J Food Agric Econ. 2016 Jan;4(1):1–19.

Table 5.

Determinants of Household’s Food Insecurity Intensity. Ordered Probit Model Estimates

VARIABLES Food Insecurity
Intensity		 VARIABLES Food Insecurity
Intensity
Financial Literacy −0.0458***
(0.0163) 		Housework or Other Work Status −0.438***
(0.125)
Household Income %PL-C2 −0.0233
(0.136)		 Divorce/Separated 0.298***
(0.0874)
Household Income %PL-C3 −0.0920
(0.128)		 Widowed 0.00474
(0.127)
Household Income %PL-C4 −0.0632
(0.132)		 Never Married 0.0809
(0.0940)
Household Income %PL-C5 −0.338**
(0.135)		 Children in Household 0.365***
(0.117)
Household Income %PL-C6 −0.331**
(0.161)		 SNAP participant 0.318***
(0.0878)
Household Income %PL-C7 −0.604***
(0.149)		 WIC participant −0.00652
(0.135)
Household Income %PL-C8 −0.682***
(0.161)		 Children in Nutrition Program 0.0813
(0.122)
Male −0.111
(0.0684)		 High School Graduate −0.251**
(0.111)
Age 0.00109
(0.00315)		 Some College −0.114
(0.114)
Hispanic/Latino 0.228**
(0.0899)		 Associate Degree −0.0919
(0.131)
African American 0.173
(0.106)		 Bachelor Degree −0.235*
(0.125)
Unemployed 0.0799
(0.106)		 Constant cut1 −0.305
(0.409)
Disabled 0.161
(0.124)		 Constant cut2 0.402
(0.409)
Retired −0.562***
(0.114)		 Constant cut3 0.855**
(0.408)

Notes: Authors' calculations using ALP data, survey 374. Sample restricted to families with less than 50K in annual income. Number of observations: 2284.

***

p<0.01,

**

p<0.05,

*

p<0.1.

State of residence dummies also included in the model. Weighted estimates using sample weights.