Anna Maria Mayda's paper investigates the economic and non-economic determinants of individual attitudes toward immigration across countries. Using two individual-level survey data sets, she finds that individuals with higher levels of skill are more likely to support immigration in high per capita GDP countries and less likely to support it in low per capita GDP countries. This pattern is explained by labor-market considerations, with the correlation between skill and immigration preferences varying based on the skill composition of natives relative to immigrants in destination economies. The findings align with the predictions of the Heckscher-Ohlin model and the factor-proportions-analysis model. Non-economic factors, such as security concerns and cultural considerations, also influence immigration attitudes but do not significantly alter the economic explanations. The paper also shows that immigration preferences are positively correlated with trade preferences, but individuals are, on average, more pro-trade than pro-immigration. The results highlight the importance of labor-market dynamics in shaping immigration attitudes and provide empirical support for economic theories of immigration. The analysis uses data from the International Social Survey Programme and the World Value Survey, and controls for various individual and country-level variables to test the robustness of the findings. The study underscores the role of factor-endowments models in explaining individual preferences and the impact of immigration on factor prices. Overall, the paper provides a comprehensive analysis of the determinants of immigration attitudes and their implications for international migration policies.Anna Maria Mayda's paper investigates the economic and non-economic determinants of individual attitudes toward immigration across countries. Using two individual-level survey data sets, she finds that individuals with higher levels of skill are more likely to support immigration in high per capita GDP countries and less likely to support it in low per capita GDP countries. This pattern is explained by labor-market considerations, with the correlation between skill and immigration preferences varying based on the skill composition of natives relative to immigrants in destination economies. The findings align with the predictions of the Heckscher-Ohlin model and the factor-proportions-analysis model. Non-economic factors, such as security concerns and cultural considerations, also influence immigration attitudes but do not significantly alter the economic explanations. The paper also shows that immigration preferences are positively correlated with trade preferences, but individuals are, on average, more pro-trade than pro-immigration. The results highlight the importance of labor-market dynamics in shaping immigration attitudes and provide empirical support for economic theories of immigration. The analysis uses data from the International Social Survey Programme and the World Value Survey, and controls for various individual and country-level variables to test the robustness of the findings. The study underscores the role of factor-endowments models in explaining individual preferences and the impact of immigration on factor prices. Overall, the paper provides a comprehensive analysis of the determinants of immigration attitudes and their implications for international migration policies.