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

Agricultural and Food Economics

Table 3 Summary statistics.

	count	mean	Sd	min	max
Outcome variable
Raw Score	140,892	0.6253	1.3948	0	8
Rasch Score	140,892	0.0681	0.7007	− 0.3302	2.5089
Explanatory variable
Internet use	140,892	0.6645	0.4722	0	1
Gender	140,892	0.8974	0.3035	0	1
Age	140,892	49.0480	12.9541	11	97
Education	140,892	0.3501	0.4770	0	1
Elders	140,892	0.2913	0.4544	0	1
Credit	140,892	0.1776	0.3822	0	1
Cooperation	140,892	0.5877	0.4923	0	1
Household size	140,892	3.8414	1.7259	1	22
Urban	140,892	0.1658	0.3719	0	1
Land ownership	140,892	0.8234	0.3813	0	1
Java	140,892	0.2205	0.4146	0	1
Sumatera	140,892	0.3178	0.4656	0	1
Kalimantan	140,892	0.0984	0.2978	0	1
Sulawesi	140,892	0.1517	0.3587	0	1
Bali and Nusa Tenggara	140,892	0.0857	0.2799	0	1
Maluku and Papua	140,892	0.1260	0.3318	0	1
Topography	140,892	0.4861	0.4998	0	1