Personality profiles of cultures: Self stereotypes using the Big 5 (openness, conscientiousness, extraversion, agreeableness, neuroticism) personality traits
Scores assessing the level of openness, conscientiousness, extraversion, agreeableness, and neuroticism in 49 countries. This dataset is a tibble containing 49 observations across 32 variables:
Population: character string indicating the population of each country.
country_code: character string indicating the country (ISO3 code).
N1 to N6: N stands for neuroticism.
Personality profiles of cultures: Self stereotypes using the Big 5 (openness, conscientiousness, extraversion, agreeableness, neuroticism) personality traits Scores assessing the level of openness, conscientiousness, extraversion, agreeableness, and neuroticism in 49 countries. This dataset is a tibble containing 49 observations across 32 variables:
Population: character string indicating the population of each country.
country_code: character string indicating the country (ISO3 code).
N1 to N6: N stands for neuroticism.
Measures of within-country diversity (religion and language)
Data on the measures of within-country religious and linguistic diversity for 120 countries. The dataset is a tibble containing 120 observations across 3 variables:
country_code: character string indicating the country (ISO3 code).
religious_diversity: Numeric. As reported in the article “The Effects of Within-Country Linguistic and Religious Diversity on Foreign Acquisitions” (JIBS, April 2016, v47-3: 319-346) two measures of within-country diversity were created using essentially the same data as was used to create the linguistic distance and religious distance scales (see documentation on psychic distance stimuli).
Coface data on country risk and business climate
This dataset contains data about country risk and business climate in 83 countries for the years 2018-2020. This dataset is a tibble with 484 observations across 4 variables:
country_name: character string indicating the name of the country.
country_code: character string indicating the country (ISO3 code).
year: character string indicating the year.
country_risk: character string ranging from A1 (safest) to E (least safe).
Coface data on country risk and business climate This dataset contains data about country risk and business climate in 83 countries for the years 2018-2020. This dataset is a tibble with 484 observations across 4 variables:
country_name: character string indicating the name of the country.
country_code: character string indicating the country (ISO3 code).
year: character string indicating the year.
country_risk: character string ranging from A1 (safest) to E (least safe).
Hofstede’s cultural dimensions scores
Data from Hofstede’s cultural dimensions scores in 111 countries. The dataset is a tibble containing 111 observations across 8 variables:
country_code: character string indicating the code of the country (ISO3 code).
country_name: character string indicating the full name of the country.
pdi: Integer. Refers to Power Distance. Defined as “This dimension expresses the degree to which the less powerful members of a society accept and expect that power is distributed unequally.
Hofstede’s cultural dimensions scores Data from Hofstede’s cultural dimensions scores in 111 countries. The dataset is a tibble containing 111 observations across 8 variables:
country_code: character string indicating the code of the country (ISO3 code).
country_name: character string indicating the full name of the country.
pdi: Integer. Refers to Power Distance. Defined as “This dimension expresses the degree to which the less powerful members of a society accept and expect that power is distributed unequally.
Schwartz’s cultural value orientation scores
Data from Schwartz’s cultural value orientation scores in 75 countries. The dataset is a tibble containing 80 observations across 9 variables:
Notes: Character string (only for some of the observations) to distinguish between different populations in a country (e.g., French-speaking Canadians and English-Speaking Canadians)
country_code: Factor indicating the country (ISO3 code).
harmony: Numeric. “harmony emphasizes fitting into the world as it is, trying to understand and appreciate rather than to change, direct, or to exploit.
Global Competitiveness Report (World Economic Forum)
Competitiveness is to be understood as “the set of institutions, policies, and factors that determine the level of productivity of an economy, which in turn sets the level of prosperity that the economy can achieve.” (source: page 11 of the 2017-2018 report). Each yearly Global Competitiveness Report “is based on a methodology integrating the latest statistics from international organizations and a survey of executives.
Major languages by country
Data about the most widely spoken languages in 151 countries uploaded by Douglas Dow on his website). The dataset contains 924 observations across 25 variables for the years 1995, 2005, 2015:
country_name: character string indicating the full name of the country.
country_code: character string indicating the country (ISO3 code).
year: integer indicating the year of the data (data is available for three different years: 1995, 2005 or 2015).