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HOME - FACTS - TABLES - VIDEOS - INFOGRAPHICS - AGENCIES - RESEARCH <br />Worker Misclassification Disproportionately <br />Affects Vulnerable Po • ulations <br />There is currently no federal law against worker misclassification. When the Department of Labor <br />investigates misclassification cases, it is often by proxy of investigating Fair Labor Standards Act violations <br />such as minimum wage violations, which frequently coincide with misclassification cases (GAO, 2009). As <br />a result, worker misclassification is often an issue decided by state law, meaning those affected most by <br />wage theft and payroll fraud are generally people who do not have federal avenues. Research has found <br />that 43% of workers who have a legal complaint against their employers do not proceed with their <br />complaints formally, citing lack of confidence in the claims or lack of legal knowledge and resources as the <br />primary reasons (Alexander & Prasad, 2014). Additionally, a CBS News investigation of 650,000 complaints <br />across the United States found that state agencies only ruled in favor of claimants about half the time — <br />and claimants are not compensated in one-third of successful cases (Hacker et al., 2023). Lack of resources <br />and unpunished violators lead to misclassification and payroll fraud among vulnerable workers. <br />Immigrants are a vulnerable group that is particularly susceptible to wage theft. Research shows that both <br />authorized immigrants and undocumented workers are more likely to experience wage theft in their <br />employment. However, it is estimated that more than 1-in-10 construction workers are undocumented <br />workers (Isser, 2023). Immigrant workers may be forced to endure conditions that are exploitative for fear <br />that their immigration status, or that of their co-workers, will be questioned (Cooper & Kroeger, 2017). <br />Immigrants working in construction are often subject to misclassification and late payment of wages, and <br />many do not engage in remedial paths as they have little hope that they will recover wages that were <br />stolen. It is common that companies will completely liquidate to avoid repayment of stolen wages, leaving <br />workers without compensation of any kind (Juravich, Ablaysky, & Williams, 2015). Some construction <br />contractors have been convicted on charges of forced labor —recruiting undocumented workers from <br />Mexico and then refusing to pay them while threatening them with violence or deportation so they would <br />not complain (Slowey, 2019). <br />Immigrants are overrepresented in independent contractor populations, which is especially harmful <br />because hiring independent contractors allows employers to bypass the Immigration Reform and Control <br />Act (Moe, Parrot, & Rochford, 2020). By bypassing IRCA, employers do not verify the immigration status <br />of their workers and benefit financially by exploiting those whom they suspect to be unauthorized (Carre, <br />2015). This puts migrant laborers in a precarious situation in which complaints that lead to federal <br />investigations could result in personal consequences, especially when Memoranda of Understanding <br />between the U.S. Department of Labor and the U.S. Immigration and Customs Enforcement expire <br />(Hallett, 2018). <br />While vulnerable populations are particularly susceptible to misclassification, other demographic groups <br />are not immune. Research indicates that during the growth of misclassification in the early 2000s, almost <br />two-thirds of workers classified as independent contractors were white and had some college or higher - <br />level education (GAO, 2007). Misclassification rates among construction workers in some states are as <br />high as 40%, making it a practice most construction workers will encounter during their careers <br />(Ruckelshaus, 2007). Steps can be taken to protect all workers —regardless of their citizenship or <br />immigration status —from the problem of illegal misclassification and wage theft. <br />5 <br />