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.

Administrative distance Administrative distances between home and host countries calculated using the Worldwide Governance Indicators (WGI) by the World Bank. This dataset contains 786 173 observations across 16 variables: ID_o: character string indicating the home country (origin) and the year. ID_d: character string indicating the host country (destination) and the year. ID: character string indicating the countries forming each country pair (ISO3 code) and the year.

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).

Foreign direct investments (FDI) Data on bilateral FDI for 189 home countries and 186 host countries (6020 country pairs) from 2001 to 2012 based on UNCTAD data. This dataset contains 67 871 observations across 11 variables: ID: character string indicating the country pair (ISO3 code) and the year. ID_o: character string indicating the country of origin (ISO3 code) and the year. ID_d: character string indicating the country of destination (ISO3 code) and the year.

Gravity controls The gravity model is used in international economics to explain bilateral flows (such as trade) between two units (generally countries), based on the economic size of each unit (in terms of GDP or number of inhabitants) and the distance between these two units (in terms of geographic distance, for instance number of kilometers). Over time, several researchers have enhanced this model by adding a number of control variables, available in this dataset.

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.