Data description
| Name | Definition | Source |
|---|---|---|
| Trust variables | ||
| TRUST_G | Variable of generalized trust, indicating that most people can be trusted. It is coded as 1 for “Most people can be trusted” and 0 for “Need to be very careful” | EVS-WVS |
| TRUST_P | Variable of generalized trust, referring to trusting people met for the first time. It is coded as 2 for “Trust completely”, 1 for “Trust somewhat” and 0 for “Do not trust very much” and “Do not trust at all” | EVS-WVS |
| TRUST_F | Variable of particularized trust, indicating trust in family. It is coded as 2 for “Trust completely”, 1 for “Trust somewhat” and 0 for “Do not trust very much” and “Do not trust at all” | EVS-WVS |
| TRUST_N | Variable of particularized trust, indicating trust in neighbors. It is coded as 2 for “Trust completely”, 1 for “Trust somewhat” and 0 for “Do not trust very much” and “Do not trust at all” | EVS-WVS |
| Variables of media | ||
| TRDMEDIA | Dummy variable of whether respondents learn daily what is going on in their country and the world from traditional media sources: daily newspapers, TV and radio. It is coded as 1 if “Daily” and 0 otherwise | EVS-WVS |
| SMEDIA | Dummy variable of whether respondents learn daily what is going on in their country and the world from social media sources (e.g. Facebook, Twitter, etc). It is coded as 1 if “Daily”; 0 otherwise | EVS-WVS |
| Variable of migration | ||
| NETMIGR | Net migration = (Immigration – Emigration) / Population | WB Data |
| Control variables for individuals | ||
| FEMALE | Being female. It is coded as 1 for “Yes”; 0 otherwise | EVS-WVS |
| LNAGE | Logarithm of age | EVS-WVS |
| IMIGRANT | Being an immigrant. It is coded as 1 for being immigrants; 0 otherwise | EVS-WVS |
| MUSLIM | Being a Muslim. It is coded as 1 for “Muslim” and otherwise 0 | EVS-WVS |
| EMPLOYED | Being employed. 1 for “Yes, has paid employment” and 0 for “No, no paid employment” | EVS-WVS |
| HIGHERCL | Perceived social class to which they belong. It is coded as 1 for “Lower class”, 2 for “Working class”, 3 for “Lower middle class”, 4 for “Upper middle class” and 5 for “Upper class” | EVS-WVS |
| EDU | Education level. It is coded as 0 for “Lower”, 1 for “Middle” and 2 for “Upper”. Higher values refer to higher education levels | EVS-WVS |
| MARRIED | Marital status. It is coded as 1 for “Married” and 0 for others | EVS-WVS |
| URBAN | Living in urban areas. It is coded as 1 for “Urban” and 0 for “Rural” | EVS-WVS |
| Control variables for countries | ||
| CORRUPT | Corruption level. It is coded ranging from 0 “There is no corruption in my country” to 9 “There is abundant corruption in my country”. Higher values indicate higher levels of corruption | EVS-WVS |
| HOMICIDE | Intentional homicides (per 100,000 people) of the country where the respondent lives | WB |
| GINI | Gini coefficient (measure of income inequality) of the country where the respondent lives | WB, FRED, National Statistical Agencies, IndexMundi |
| BIRTH | Birth rate, crude (per 1,000 people) for the country where the respondent lives | WB |
| LNPOPU | Logarithm of total population of the country where the respondent lives | WB |
| LNGDPPC | Logarithm of GDP per capita of the country where the respondent lives | WB |
| Name | Definition | Source |
|---|---|---|
| TRUST_G | Variable of generalized trust, indicating that most people can be trusted. It is coded as 1 for | EVS-WVS |
| TRUST_P | Variable of generalized trust, referring to trusting people met for the first time. It is coded as 2 for | EVS-WVS |
| TRUST_F | Variable of particularized trust, indicating trust in family. It is coded as 2 for | EVS-WVS |
| TRUST_N | Variable of particularized trust, indicating trust in neighbors. It is coded as 2 for | EVS-WVS |
| TRDMEDIA | Dummy variable of whether respondents learn daily what is going on in their country and the world from traditional media sources: daily newspapers, TV and radio. It is coded as 1 if “Daily” and 0 otherwise | EVS-WVS |
| SMEDIA | Dummy variable of whether respondents learn daily what is going on in their country and the world from social media sources (e.g. Facebook, Twitter, etc). It is coded as 1 if “Daily”; 0 otherwise | EVS-WVS |
| NETMIGR | Net migration = (Immigration – Emigration) / Population | WB Data |
| FEMALE | Being female. It is coded as 1 for “Yes”; 0 otherwise | EVS-WVS |
| LNAGE | Logarithm of age | EVS-WVS |
| IMIGRANT | Being an immigrant. It is coded as 1 for being immigrants; 0 otherwise | EVS-WVS |
| MUSLIM | Being a Muslim. It is coded as 1 for | EVS-WVS |
| EMPLOYED | Being employed. 1 for | EVS-WVS |
| HIGHERCL | Perceived social class to which they belong. It is coded as 1 for | EVS-WVS |
| EDU | Education level. It is coded as 0 for “Lower”, 1 for “Middle” and 2 for “Upper”. Higher values refer to higher education levels | EVS-WVS |
| MARRIED | Marital status. It is coded as 1 for “Married” and 0 for others | EVS-WVS |
| URBAN | Living in urban areas. It is coded as 1 for “Urban” and 0 for “Rural” | EVS-WVS |
| CORRUPT | Corruption level. It is coded ranging from 0 “There is no corruption in my country” to 9 “There is abundant corruption in my country”. Higher values indicate higher levels of corruption | EVS-WVS |
| HOMICIDE | Intentional homicides (per 100,000 people) of the country where the respondent lives | WB |
| GINI | Gini coefficient (measure of income inequality) of the country where the respondent lives | WB, FRED, National Statistical Agencies, IndexMundi |
| BIRTH | Birth rate, crude (per 1,000 people) for the country where the respondent lives | WB |
| LNPOPU | Logarithm of total population of the country where the respondent lives | WB |
| LNGDPPC | Logarithm of GDP per capita of the country where the respondent lives | WB |
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