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題名 Addressing endogeneity in operations management research: Recent developments, common problems, and directions for future research
作者 莊皓鈞
Chuang, HowardHao-Chun
Lu, Guanyi
(David)Ding, Xin
XiaosongPeng, David
貢獻者 資管系
關鍵詞 Endogeneity ; Literature review ; Empirical research ; Healthcare ; Instrumental variable regression
日期 2018-11
上傳時間 26-May-2020 15:12:01 (UTC+8)
摘要 Addressing endogeneity can be a challenging task given the different sources of endogeneity and their impacts on empirical results. While premier business journals typically expect authors to rigorously address endogeneity, this expectation is relatively new to many Operations Management (OM) scholars, as exemplified by a recent editorial in Journal of Operations Management that calls for more rigorous treatment for endogeneity. This study serves two purposes. First, we summarize recent OM literature with respect to the treatment for endogeneity by reviewing studies published in leading OM journals between 2012 and 2017. The review provides evidence that endogeneity problems have received increasing attention from OM scholars. However, we also find some common problems that may render the chosen techniques for addressing endogeneity less effective and potentially lead to biased analysis results. Second, since instrumental variable regression is the most prevalent technique for dealing with endogeneity in the OM literature according to our review, we provide an empirical illustration tailored to OM researchers for using instrumental variable regression in the post-design (data analysis) phase. Using variables from a publicly available healthcare dataset, our analysis sheds light on the importance of examining instruments` quality and triangulating results based on more than one test/estimator.
關聯 Journal of Operations Management, Vol.64, pp.53-64
資料類型 期刊論文
DOI https://doi.org/10.1016/j.jom.2018.10.001
dc.contributor 資管系
dc.creator (作者) 莊皓鈞
dc.creator (作者) Chuang, HowardHao-Chun
dc.creator (作者) Lu, Guanyi
dc.creator (作者) (David)Ding, Xin
dc.creator (作者) XiaosongPeng, David
dc.date (日期) 2018-11
dc.date.accessioned 26-May-2020 15:12:01 (UTC+8)-
dc.date.available 26-May-2020 15:12:01 (UTC+8)-
dc.date.issued (上傳時間) 26-May-2020 15:12:01 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/129969-
dc.description.abstract (摘要) Addressing endogeneity can be a challenging task given the different sources of endogeneity and their impacts on empirical results. While premier business journals typically expect authors to rigorously address endogeneity, this expectation is relatively new to many Operations Management (OM) scholars, as exemplified by a recent editorial in Journal of Operations Management that calls for more rigorous treatment for endogeneity. This study serves two purposes. First, we summarize recent OM literature with respect to the treatment for endogeneity by reviewing studies published in leading OM journals between 2012 and 2017. The review provides evidence that endogeneity problems have received increasing attention from OM scholars. However, we also find some common problems that may render the chosen techniques for addressing endogeneity less effective and potentially lead to biased analysis results. Second, since instrumental variable regression is the most prevalent technique for dealing with endogeneity in the OM literature according to our review, we provide an empirical illustration tailored to OM researchers for using instrumental variable regression in the post-design (data analysis) phase. Using variables from a publicly available healthcare dataset, our analysis sheds light on the importance of examining instruments` quality and triangulating results based on more than one test/estimator.
dc.format.extent 135 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Operations Management, Vol.64, pp.53-64
dc.subject (關鍵詞) Endogeneity ; Literature review ; Empirical research ; Healthcare ; Instrumental variable regression
dc.title (題名) Addressing endogeneity in operations management research: Recent developments, common problems, and directions for future research
dc.type (資料類型) 期刊論文
dc.identifier.doi (DOI) 10.1016/j.jom.2018.10.001
dc.doi.uri (DOI) https://doi.org/10.1016/j.jom.2018.10.001