time variant

Administrative distance

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.

Bilateral Foreign Direct Investments (FDI)

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.

Control variables for gravity equations

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.

Country Risk assessment (Coface)

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).

Country Risk assessment (Coface)

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).

Data on the place of women in society and economy across different countries

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

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)

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)

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)

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.