Agricultural and Food Economics

Table 9 Average treatment effects of online food shopping on food intake per capita: ESR model estimates

From: Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable

Groups	ATT	t-value
Cereals	10.153 (267.852)	0.496
Roots and tubers	− 17.093 (31.312)***	− 7.139
Legumes	− 0.008 (34.245)	− 0.003
Vegetables	− 36.399 (146.587)***	− 3.247
Edible fungi	32.840 (7.430)***	57.799
Fruits	554.097 (181.041)***	40.023
Nuts and seeds	52.165 (14.066)***	48.496
Livestock meat	421.279 (246.909)***	22.312
Poultry meat	7.021 (22.346)***	4.109
Milk and milk products	61.143 (18.436)***	43.368
Eggs	115.311 (24.744)***	60.940
Fish and seafood	37.448 (79.541)***	6.157

*** < 0.01. Robust standard errors are presented in parentheses
ATT: average treatment effects on the treated, ESR: endogenous switching regression model

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