In randomly drawn samples at the individual level, one does not usually worry about cross-section correlation. However, when one starts looking at a cross section of countries, regions, states, counties, etc., these aggregate units are likely to exhibit cross-sectional correlation that has to be dealt with. There is an extensive literature using spatial statistics that deals with this type of correlation. These spatial dependence models are popular in regional science and urban economics.