This study seeks to find where undocumented workers reside in the USA. By postulating that the US destination of an undocumented worker is affected by socio-economic factors, an equation is estimated using the standard panel-data methods. A static panel-data estimation (fixed-effects and random effects) does not reveal a meaningful relation between undocumented workers and other factors. The Arellano-Bond estimation, in which the previous level of undocumented workers are used as a proxy for a network, provides statistically significant relations at the 0.05 level; the number of undocumented workers in a state is determined by the state's socio-economic factors such as economic conditions (e.g., unemployment rate and household income) and social factors necessary to form a network (e.g., foreign-born population, Hispanic population, urban population, the number of households having limited English-speaking ability and the previous level of undocumented workers). Among these factors, the previous level of undocumented workers has the largest impact on the current level of undocumented workers.
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Inderscience Enterprises Ltd.
- Date submitted
20 July 2022
- Additional information
Dr. Han has been teaching at the University of North Georgia for the last several years and brings application and context to the classroom from his experience as an Economist at the Bank of Korea, the central bank in Korea. He earned his Ph.D. in Economics from University of Georgia. The Munford Professorship was awarded to Dr. Han from UNG in 2014.
Book or Journal Information:
Global Business and Economics Review, 24(3), 248-260