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Causal effects of social capital = l...

Chen, Yunsong.

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Causal effects of social capital = labor markets and beyond /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Causal effects of social capital/ by Yunsong Chen.
其他題名:	labor markets and beyond /
作者:	Chen, Yunsong.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xvi, 483 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Part I: Causality in Social Capital Studies -- Chapter 1: On Endogeneity Problems: Challenges and Empirical Strategies of Causal Inference -- Chapter 2: Placing Causality at the Heart of Social Capital Research: A Literature Review -- Part II: Contact Usage and Resources -- Chapter 3: Using Contacts is Hardly Beneficial: The Treatment Effects of Using Social Capital -- Chapter 4: The Significance of Contact Resources and Homophily: The Effects of Used Social Capital -- Part III: Network Resources -- Chapter 5: Village Networks and Migrants' Salaries: The Impact of Acquaintance Networks -- Chapter 6: Occupational Interactions and Wages: The Influence of Colleague Networks -- Chapter 7: Educational Attainments of Friends and Job Status: The Role of Friendship Networks -- Part IV: Miscellaneous -- Chapter 8: Guanxi Networking, Associations, and Political Trust: Beyond the Labor Market -- Chapter 9: Identifying Typology of Tie Strength: A Latent Class Analysis -- Chapter 10: Toward a Dynamic Model: Habitus, Fields, and a Tale of Two Manchus -- Part V: Coda -- Chapter 11: Conclusions and Future Directions.
Contained By:	Springer Nature eBook
標題:	Social capital (Sociology) -
電子資源:	https://doi.org/10.1007/978-981-19-5912-7
ISBN:	9789811959127

Causal effects of social capital = labor markets and beyond /
Chen, Yunsong.

Causal effects of social capitallabor markets and beyond /[electronic resource] :by Yunsong Chen. - Singapore :Springer Nature Singapore :2022. - xvi, 483 p. :ill. (some col.), digital ;24 cm.

Introduction -- Part I: Causality in Social Capital Studies -- Chapter 1: On Endogeneity Problems: Challenges and Empirical Strategies of Causal Inference -- Chapter 2: Placing Causality at the Heart of Social Capital Research: A Literature Review -- Part II: Contact Usage and Resources -- Chapter 3: Using Contacts is Hardly Beneficial: The Treatment Effects of Using Social Capital -- Chapter 4: The Significance of Contact Resources and Homophily: The Effects of Used Social Capital -- Part III: Network Resources -- Chapter 5: Village Networks and Migrants' Salaries: The Impact of Acquaintance Networks -- Chapter 6: Occupational Interactions and Wages: The Influence of Colleague Networks -- Chapter 7: Educational Attainments of Friends and Job Status: The Role of Friendship Networks -- Part IV: Miscellaneous -- Chapter 8: Guanxi Networking, Associations, and Political Trust: Beyond the Labor Market -- Chapter 9: Identifying Typology of Tie Strength: A Latent Class Analysis -- Chapter 10: Toward a Dynamic Model: Habitus, Fields, and a Tale of Two Manchus -- Part V: Coda -- Chapter 11: Conclusions and Future Directions.

This book presents a series of studies focusing on the role of social capital in the labor market and beyond. Using the effect of individual social capital 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 systematic account of the progress made by social scientists in improving causal inferences into the role of social capital in labor markets. Second, the book adopts specialized approaches-both classical and new-toward different sources of endogeneity. Incorporating the latest research from outside fields, such as economics, into sociological research is a small but significant methodological innovation. Third, in addition to empirical research, this book undertakes an innovative exploration of the theory of social capital. It creatively explains the dynamic evolution of social capital, which helps balance objectivism and subjectivism when analyzing interpersonal actions. For sociologists who focus on quantitative research methods and social capital, scholars who study Chinese societies, and related students, this book provides both advanced methods and rich empirical research. Yunsong Chen is a Changjiang Scholars Distinguished Professor of Sociology at Nanjing University. He earned his DPhil in Sociology at Nuffield College, University of Oxford. He has broad research interests in the fields of quantitative sociology (e.g., social networks, social capital, and advanced models for causal inference) and computational sociology. His academic work has appeared in leading English-language journals in the social sciences, including Social Networks, Social Science Research, British Journal of Sociology, Poetics, and Journal of Contemporary China and Scientific Reports, as well as Chinese journals, including Social Science in China and Journal of Chinese Sociology. He serves on the editorial board and international advisory board for several journals, including Sociology, Social Science Research, Journal of Social Computing, and Chinese Sociological Review. His newest book, Understanding China through Big Data, was published by Routledge in 2021.

ISBN: 9789811959127

Standard No.: 10.1007/978-981-19-5912-7doiSubjects--Topical Terms:

571972
Social capital (Sociology)

LC Class. No.: HM708

Dewey Class. No.: 302

Causal effects of social capital = labor markets and beyond /
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520 $a This book presents a series of studies focusing on the role of social capital in the labor market and beyond. Using the effect of individual social capital 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 systematic account of the progress made by social scientists in improving causal inferences into the role of social capital in labor markets. Second, the book adopts specialized approaches-both classical and new-toward different sources of endogeneity. Incorporating the latest research from outside fields, such as economics, into sociological research is a small but significant methodological innovation. Third, in addition to empirical research, this book undertakes an innovative exploration of the theory of social capital. It creatively explains the dynamic evolution of social capital, which helps balance objectivism and subjectivism when analyzing interpersonal actions. For sociologists who focus on quantitative research methods and social capital, scholars who study Chinese societies, and related students, this book provides both advanced methods and rich empirical research. Yunsong Chen is a Changjiang Scholars Distinguished Professor of Sociology at Nanjing University. He earned his DPhil in Sociology at Nuffield College, University of Oxford. He has broad research interests in the fields of quantitative sociology (e.g., social networks, social capital, and advanced models for causal inference) and computational sociology. His academic work has appeared in leading English-language journals in the social sciences, including Social Networks, Social Science Research, British Journal of Sociology, Poetics, and Journal of Contemporary China and Scientific Reports, as well as Chinese journals, including Social Science in China and Journal of Chinese Sociology. He serves on the editorial board and international advisory board for several journals, including Sociology, Social Science Research, Journal of Social Computing, and Chinese Sociological Review. His newest book, Understanding China through Big Data, was published by Routledge in 2021.
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