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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 3.

Determinants of Household Food Insecurity Status. Probit Model Estimates (Marginal Effects)

VARIABLES Food Insecure Worse Diet VARIABLES Food Insecure Worse Diet
Financial Literacy −0.0163***
(0.0058) 		−0.0081
(0.0066) 		Retired −0.1288***
(0.0407)		 −0.1655***
(0.0423)
Household Income %PL-C2 −0.0352
(0.0481)		 0.0192
(0.0551)		 Housework or Other Work Status −0.1094**
(0.0443)		 −0.0574
(0.0509)
Household Income %PL-C3 −0.05
(0.0466)		 −0.0601
(0.0533)		 Divorce/Separated 0.0780**
(0.0308)		 0.1040***
(0.0329)
Household Income %PL-C4 0.0007
(0.0491)		 0.0120
(0.0559)		 Widowed −0.0426
(0.0470)		 0.0616
(0.0521)
Household Income %PL-C5 −0.1226**
(0.0513)		 −0.0817
(0.0614)		 Never Married 0.0089
(0.0334)		 0.0285
(0.0362)
Household Income %PL-C6 −0.0984
(0.0606)		 −0.0517
(0.0628)		 Children in Household 0.0836**
(0.0388)		 0.0306
(0.0437)
Household Income %PL-C7 −0.2066***
(0.0565)		 −0.1049*
(0.0611)		 SNAP participant 0.0503
(0.0322)		 0.0950***
(0.0350)
Household Income %PL-C8 −0.2734***
(0.0622)		 −0.1879***
(0.0664)		 WIC participant 0.0197
(0.0458)		 0.0570
(0.0560)
Male −0.0306
(0.0253)		 0.0062
(0.0276)		 Children in Nutrition Program 0.0516
(0.0404)		 0.0236
(0.0460)
Age 0.0008
(0.0011)		 −0.0000
(0.0012)		 High School Graduate −0.0545
(0.0404)		 −0.0496
(0.0491)
Hispanic/Latino 0.0655*
(0.0332)		 0.0238
(0.0363)		 Some College −0.0132
(0.0411)		 −0.0888
(0.0494)
African American 0.0417
(0.0383)		 0.0063
(0.0402)		 Associate Degree 0.0085
(0.0471)		 −0.0722
(0.0552)
Unemployed 0.0321
(0.0395)		 0.0379
(0.0477)		 Bachelor Degree −0.0890*
(0.0455)		 −0.0943*
(0.0544)
Disabled 0.0583
(0.0480)		 0.0549
(0.0491)

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.