Even if each country uses the same method for designing its optimal international migration policy, the optimal level of migration flows varies across countries.
In doing so, the possibility that very narrow or loose definitions of migration may be used for reported immigration statistics must be taken into account, which results in lower or higher levels of migration flows, respectively, in relation to, say, the United Nations' recommended 1-year definition (UNECE 2009).
Thus to consider these global migration effects we also consider as dependent variable the total migration rate (m i,t k, for all k education level), also available from Defoort and Rogers (2008).1 In this way, the size of migration flows by education level is measured by the skilled migration rate, unskilled migration rate, and total migration rate.
Recent increases in U.S. immigration enforcement at the local and state level may be impacting remittance flows to developing countries by curtailing undocumented immigration, restricting the cyclicality of migration flows and limiting employment opportunities for the undocumented.
These factors tend to make the Nino figures highly unreliable as measures of migration flows.
While the Rio Grande Valley remains the center of migration flows in Texas, immigrants are starting to venture farther west.
Thus, changes and levels of the economic variables enter the equation separately, providing the possibility to distinguish between short- and long-run determinants of migration flows.
This indicates responsiveness of migration flows to the Great Recession.
The sub-national regional patterning of migration flows and their increasing typological diversity (especially as regards new regimes of mobility) mean that a state-level classification of core and periphery is too crude (Williams, 2009).
"Reforming the Management of Migration Flows from Latin America to the United States".
