European Parliament COVID-19 Survey – Round 3 (2020)

UniData provides two kind of data access:

• open data
  (all users can use the data - an expense allowance could be required)
• restricted data
  (the data use is limited - see below)

The excel file ‘EP Covid_variable_correspondence.xlsx’ gives a detailed overview of the corresponding variables across the three rounds. In contrast to Round 2, newly introduced questions in Round 3 are not marked with “new” in the variable name.

Please note the divergent information on the data collection mode for Cyprus. In the basic questionnaire the telephone survey method is given for Cyprus, but the technical specifications specify an online access panel.

Please note that two respondents are coded answer category “Other” in variable Q10_2 (“EU BUDGET – SPENT ON 2ND”) but at the same time are coded a substantial answer in variable Q10_3 (“EU BUDGET – SPENT ON 3RD”). Another respondent is coded answer category “Other” in variable Q10_3 (“EU BUDGET – SPENT ON 3RD”) but at the same time is coded a substantial answer in variable Q10_4 (“EU BUDGET – SPENT ON 4TH”).

Please note that a small number of respondents indicate an age category when stopped full-time education (TAE variable – “SD3 TERMINAL AGE OF END OF EDUCATION”) which is higher than the actual age of the respondent in actualage (ACTUALAGE variable – “SD2 AGE EXACT”). Similarly, some respondents state that they are “Still studying” (TAE variable) but at the same time are coded with other categories in WORK_STAT variable (“SD6 EMPLOYMENT STATUS – RESPONDENT”).

Data for the answer category “Somebody else in the household takes care of all/most of the grocery shopping” in question SD4 (“HOUSEHOLD HEAD” in MGS1_1 to MGS1_4 variables) have not been made available in the original data delivery. Variables MGS1_3 and MGS1_4 represent recoded versions of MGS1_1 and MGS1_2.

Some answer categories in the dataset differ from the information in the basic questionnaire. For example, variable CHILD_HH only consists of answer categories “yes/no”, whereas respondents are asked about the number of children living in their household in the questionnaire.

Please note that fieldwork coordination reasons resulted in slight differences in the date of interview between the dataset (“YYYYMMDD” variable) and the official technical specifications. For CY, EE, LU, LT, LV, and MT no data were provided.

Please note that the region information was removed by the archive for several cases because of potential de-anonymization issues.

For Denmark a detailed region variable is excluded because of potential de-anonymization issues. Variable REGION_GRP_DK_2 (“REGION GROUPING – DENMARK (NUTS 3 – CONSTRUCTED BY THE ARCHIVE)”) has been constructed by the archive in accordance with the categories published by Statistics Denmark.

The occurrence of identical detailed and grouped region variables for Greece and Portugal is intentional.

Please note that the Polish region variables REGION_PL (“DETAILED REGION – POLAND (NUTS 2)”) and REGION_GRP_PL (“REGION GROUPING – POLAND (NUTS 1 MODIFIED)”) correspond to the NUTS 2013 classification.

The supplied versions of variables REGION_LV (“REGION – LATVIA (NUTS 3)”) and REGION_LT (“REGION – LITHUANIA (NUTS 3)”) had a different region order compared to Round 2 and have been recoded by the archive to make consistent with the former round. It has been confirmed by Kantar that the supplied categories correctly match the respondents’ regions.

Please note for variable REGION_MT (“REGION – MALTA (NON-NUTS)”) that the supplied codes of the original data delivery are stated in brackets. The regions have been recoded by the archive to make the codes consistent with Round 2, the order of the regions has not been changed.

Checks for duplicate case identification numbers and cases have been performed. The dataset has been checked for duplicate cases on the base of 64 selected non-technical (substantial) variables without evidence for any duplicate.