Offline and hungry: the effect of internet use on the food insecurity of Indonesian agricultural households

Agricultural and Food Economics

Table 4 Internet users (internet = 1) and non-internet users (internet = 0) mean differences.

Variable	Internet = 0		Internet = 1		Mean differences
Variable	Mean	Std. Dev	Mean	Std. Dev	Mean differences
Outcome variable
Raw score	0.8024	1.6061	0.5359	1.2655	− 0.2665^***
Rasch score	0.1524	0.7652	0.0256	0.6617	− 0.1268^***
Explanatory variable
Gender	0.8474	0.3596	0.9226	0.2672	0.0752^***
Age	51.2848	14.5677	47.9186	11.8990	− 3.3662^***
Education	0.2346	0.4237	0.4084	0.4915	0.1738^***
Elders	0.3723	0.4834	0.2504	0.4333	− 0.1219^***
Credit	0.0868	0.2816	0.2235	0.4166	0.1366^***
Cooperation	0.3691	0.4826	0.6980	0.4591	0.3289^***
Household size	3.9666	1.9317	4.0668	1.3740	0.1002***
Urban	0.1073	0.3094	0.1953	0.3965	0.0881***
Land ownership	0.7946	0.4040	0.8380	0.3685	0.0434^***
Java	0.1939	0.3954	0.2339	0.4233	0.1079^***
Sumatera	0.2461	0.4308	0.3540	0.4782	0.0373^***
Kalimantan	0.0736	0.2612	0.1109	0.3140	0.0418^***
Sulawesi	0.1239	0.3295	0.1657	0.3718	− 0.0185^***
Bali and Nusa Tenggara	0.0980	0.2973	0.0795	0.2705	− 0.2083^***
Maluku and Papua	0.2644	0.4410	0.0561	0.2301	0.1194^***
Topography	0.4067	0.4912	0.5262	0.4993	− 0.2665^***
Observations	47,270		93,622		140,892