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. 2019 Jun 24;22(15):2879–2890. doi: 10.1017/S1368980019001423

Table 1.

Description of explanatory variables in the model

Share_display_label Share of total volume purchased that consists of products that display the Choices label (av)*
Numb_display_label Number of products that display the Choices label on packaging based on EAN-code level
Share_organic Share of total volume purchased that is organic
Share_ownlabel Share of total volume purchased that is own label
Share_super Share of total volume that is purchased in supermarkets
Share_discount Share of total volume that is purchased in discount stores
Share_service Share of total volume that is purchased in service and other types of store (base)
Rel_price Relative average price of eligible products over products defined as not eligible (av)*
s m Seasonality
(For estimations on months) Month dummies (1 = if purchased in January, etc.) (av)*
(For estimation on quarters) Quarter dummies (1 = if purchased in Q1, etc.) (av)*
y06–y08 Yearly dummies to account for preference-driven change over time (av)*
s h Household characteristics
Hh_size Number of people in household
Female Gender dummy for person doing most housework and shopping (1 = female, 0 = male)
Educ_low Education dummy (1 = person with highest education is low educated) (base)
Educ_mid Education dummy (1 = person with highest education is middle educated)
Educ_high Education dummy (1 = person with highest education is high educated)
City District dummy (1 = household living in one of the three big cities) (base)
West District dummy (1 = household living in the west)
South District dummy (1 = household living in the south)
North District dummy (1 = household living in the north)
East District dummy (1 = household living in the east)
Single Relationship dummy (1 = household consists of one person)
Inc_low Income dummy (1 = net household income per month is <€2100) (base)
Inc_mid Income dummy (1 = net household income per month is €2100–3500)
Inc_high Income dummy (1 = net household income per month is >€3500)
Age_young Age dummy (1 = main shopper’s age is <35 years) (base)
Age_mid Age dummy (1 = main shopper’s age is 35–54 years)
Age_old Age dummy (1 = main shopper’s age is ≥55 years)
*

(av) for average indicates that it is a variable that is common to all households.

(base) indicates that this is used as the base level in the estimation.