Towards a design-based approach to accounting research

被引:14
作者
Leuz, Christian [1 ,2 ,3 ]
机构
[1] Univ Chicago, Booth Sch Business, Chicago, IL 60637 USA
[2] CEPR, Washington, DC 20009 USA
[3] NBER, Cambridge, MA 02138 USA
关键词
Endogeneity; Causal inferences; Research design; Empirical methods; Natural experiments; Accounting research; ECONOMICS; IDENTIFICATION; PROPRIETARY; INFORMATION; DISCLOSURE; MODELS;
D O I
10.1016/j.jacceco.2022.101550
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Armstrong et al. (2022) review the empirical methods used in the accounting literature to draw causal inferences. They document a growing number of studies using quasiexperimental methods and provide a critical perspective on this trend as well as the use of these methods in the accounting literature. In this discussion, I complement their review by broadening the perspective. I argue for a design-based approach to accounting research that shifts attention from methods to the entire research design. I also discuss why studies that aim to draw causal inferences are important, how these studies fit into the scientific process, and why assessing the strength of the research design is important when evaluating studies and aggregating research findings.(c) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:9
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