Gender attitudes of migrants_EVS_ESS_WVS_harmonized
Description
This data harmonizes waves 2, 4, and 5 from the European Social Survey, waves 5 and 6 from the World Values Survey, and wave 4 from the European Values Study. The aim of the study was to analyze gender attitudes using the statement "Men should have more right to a job than women when jobs are scarce". For information on those people who stayed in the sending countries data from WVS6 for the following countries was chosen: Algeria, Argentina, Australia, Brazil, Chile, China, Colombia, Cyprus, Ecuador, Estonia, Ghana, Hong Kong, India, Iraq, Japan, Kazakhstan, Kyrgyzstan, Lebanon, Mexico, Morocco, Nigeria, Pakistan, Peru, Philippines, Poland, Romania, Russia, Rwanda, Singapore, South Africa, South Korea, Thailand, Tunisia, Turkey, Ukraine, the United States, Uruguay, and Zimbabwe. I also employ data for several countries from Wave 5 for those societies that were not covered during the last wave: Bulgaria, Canada, Egypt, Finland, Hungary, Indonesia, Italy, Iran, Moldova, Norway, Vietnam, Serbia and Montenegro, and Zambia. I add European societies that have not been covered by the WVS by using the European Values Study 2008: Albania, Austria, Bosnia and Herzegovina, Croatia, Czech Republic, Denmark, Greece, Ireland, Lithuania, Luxembourg, Macedonia, Slovak Republic, and Slovenia. This gives 65 sending societies in total. As people could have migrated from the European countries of the main focus, namely, Belgium, Germany, France, the Netherlands, Portugal, Spain, Sweden, Switzerland, and the UK, I add those as well, with a final total of 73 sending countries. Such variables as age, gender, migration status, religiosity measured by self-attribution (How religious are you?), Importance of God, and church attendance as well as denomination are added. Education is binarized for higher\no higher. Employment is measured by 6 categories, marital status - by 5 categories. Those who refused to answer were coded into a separate category "refused". Country-level variables: Human Development Index (HDI), GDP per capita, Polity IV, Freedom House Civil Liberties Index, Gender Inequality Index (by UNDP), unemployment ratio of women to men; percentage of women in the labor market, percentage of women in parliaments, percentage of Islamic population in the country, Islamic majority in the country (binary), level of religiosity in the country (country average for ``How important is God in your life?"), post-communism, Cultural zones from Inglehart's cultural map (8 groups).