Titlebook: Causal Effects of Social Capital; Labor Markets and Be Yunsong Chen Book 2022 The Editor(s) (if applicable) and The Author(s), under exclus

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https://doi.org/10.1007/978-3-662-64906-0eity problem. Moreover, this chapter discusses the limitations of this book and future research directions. Greater emphasis on selection mechanisms, more higher-quality social network data, and more replication studies based on shared data help scholars better understand endogeneity.

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Village Networks and Migrants’ Salaries the Impact of Acquaintance Networksllage of origin is used as an instrumental variable to deal with other endogeneity biases. The results presented here verify significant effects of origin-based networks, and show that network effects are underestimated without taking the endogeneity into account.

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Book 2022apital on labor markets as an example, this book pays special attention to the origins of and solutions to the endogeneity problem. It uses several identification strategies to systematically test for the causal effects of social capital...First, this book constitutes the first attempt to offer a sy

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On Endogeneity Problems: Challenges and Strategies of Causal Inferenceas derived from endogeneity, which are: omitted variable bias, self-selection bias, sample-selection bias, and simultaneity bias. Focusing on these identification challenges, this chapter also explains how to apply advanced approaches to deal with them according to examples in labour economics and s

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