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Description: In this paper, I discuss common endogeneity problems found in entrepreneurship research. I show how entrepreneurship researchers, particularly those working with observational data, typically face several specific endogeneity threats in a given study. I then show through a series of simulated of datasets instrument variable approaches that effectively address endogeneity in a variety of research designs. I discuss best-practice recommendations for integrating instrument variables into entrepreneurship research at the study design phase, and outline potential sources for instruments.