How to use instrumental variables in addressing endogeneity? A step-by-step procedure for non-specialists

Ullah Subhan; Zaefarian Ghasem; Ullah Farid

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How to use instrumental variables in addressing endogeneity? A step-by-step procedure for non-specialists

机译：如何使用乐器变量来寻址内生物性？非专家的逐步过程

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Endogeneity issues in empirical research have received increasing academic attention. Tackling endogeneity problems effectively and using the appropriate estimation techniques are important quality benchmarks in the publication process of many academic journals. In this paper, we discuss the use of instrumental variables (IVs) in business and marketing research, with a particular focus on its implementation in STATA. We discuss several preand postestimation tests that researchers can use to implement various versions of IVs in STATA, including twostage least squares regression, limited information maximum likelihood estimation, and generalized method of moments.

机译：实证研究中的内部性问题得到了增加的学术关注。有效地解决内部性问题，并使用适当的估计技术是许多学术期刊出版过程中的重要质量基准。在本文中，我们讨论了仪器变量（IVS）在商业和营销研究中的使用，特别关注其在Stata的实施。我们讨论了研究人员可以用于在STATA中实施各种版本的IVS的Preand Postimation测试，包括扭曲最小二乘回归，有限的信息最大似然估计和普遍的时刻方法。

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《Industrial marketing management》 |2021年第7期|A1-A6|共6页
作者
Ullah Subhan; Zaefarian Ghasem; Ullah Farid;
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作者单位

Univ Nottingham Nottingham Univ Business Sch Div Accounting Nottingham England;

Univ Leeds Leeds Univ Business Sch Leeds W Yorkshire England;

Sichuan Univ Sch Econ Chengdu Peoples R China;

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原文格式 PDF
正文语种 eng
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关键词
Instrumental variables; Endogeneity; Two-stage least squares; Limited information maximum likelihood; Generalized method of moments;

机译：乐器变量;内能性;两个阶段最小二乘;有限的信息最大可能性;普遍的时刻方法;

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How to use instrumental variables in addressing endogeneity? A step-by-step procedure for non-specialists

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