Cultural distance Cultural distances between 78 home and 78 host countries (6084 country pairs) calculated using the Kogut & Singh (1988) index based on Hofstede’s (1980, 1988, 2010) cultural dimensions scores. This dataset contains 6084 observations across 5 variables: country_pair: character string uniting the origin and the destination. origin: character string indicating the first country (ISO3 code) of the country pair. destination: character string indicating the second country (ISO3 code) of the country pair.

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.

Data on the place of women in society and economy across different countries Scores assessing different gender-based data in 90 countries in 2000, 2005 and yearly for the period 2010-2018. This dataset contains 990 observations across 12 variables: ID: character string indicating the code of the country (ISO3) and the year. country_name: character string indicating the name of the country. country_code: character string indicating the country code (ISO3 code).

Data on the place of women in society and economy across different countries Scores assessing different gender-based data in 90 countries in 2000, 2005 and yearly for the period 2010-2018. This dataset contains 990 observations across 12 variables: ID: character string indicating the code of the country (ISO3) and the year. country_name: character string indicating the name of the country. country_code: character string indicating the country code (ISO3 code).

Economic integration agreements (EIA) Data on economic integration agreements (EIA) between country pairs per year. This is not a binary indicator (0 for no agreement, 1 for an agreement between the countries of the country pair) but rather a multichotomous index in which: - 0 represents the absence of economic integration agreement, - 1 represents a one-way preferential trade agreement, - 2 represents a two-way preferential trade agreement,

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.

Global Gender Gap Report (World Economic Forum) Scores assessing the gender gap in 147 countries between 2006 and 2020. This dataset contains 1893 observations across 5 variables: country_name: character string indicating the name of the country. country_code: character string indicating the country code (ISO3 code). year: integer indicating the year. ID: character string indicating the country pair (ISO3 code) and the year. GenderGap: number indicating the GenderGap score attributed by the World Economic Forum to this country in this year.

Global Gender Gap Report (World Economic Forum) Scores assessing the gender gap in 147 countries between 2006 and 2020. This dataset contains 1893 observations across 5 variables: country_name: character string indicating the name of the country. country_code: character string indicating the country code (ISO3 code). year: integer indicating the year. ID: character string indicating the country pair (ISO3 code) and the year.

List of websites Illicit trade - the dark side of globalization Gallup - global datasets for public use DBnomics Socioeconomic Data and Applications Center (SEDAC) - Nasa & Columbia University Environmental performance index

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).