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Causal Inference in Accounting Research
by
REISS, PETER C.
, GOW, IAN D.
, LARCKER, DAVID F.
in
Accounting
/ accounting research
/ C18
/ C190
/ C51
/ Causal inference
/ Causality
/ Inference
/ M40
/ M41
/ Quasi-experimental methods
/ Research methodology
/ Research methods
/ structural modeling
/ Studies
2016
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Causal Inference in Accounting Research
by
REISS, PETER C.
, GOW, IAN D.
, LARCKER, DAVID F.
in
Accounting
/ accounting research
/ C18
/ C190
/ C51
/ Causal inference
/ Causality
/ Inference
/ M40
/ M41
/ Quasi-experimental methods
/ Research methodology
/ Research methods
/ structural modeling
/ Studies
2016
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Causal Inference in Accounting Research
by
REISS, PETER C.
, GOW, IAN D.
, LARCKER, DAVID F.
in
Accounting
/ accounting research
/ C18
/ C190
/ C51
/ Causal inference
/ Causality
/ Inference
/ M40
/ M41
/ Quasi-experimental methods
/ Research methodology
/ Research methods
/ structural modeling
/ Studies
2016
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Journal Article
Causal Inference in Accounting Research
2016
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Overview
This paper examines the approaches accounting researchers adopt to draw causal inferences using observational (or nonexperimental) data. The vast majority of accounting research papers draw causal inferences notwithstanding the well-known difficulties in doing so. While some recent papers seek to use quasi-experimental methods to improve causal inferences, these methods also make strong assumptions that are not always fully appreciated. We believe that accounting research would benefit from more in-depth descriptive research, including a greater focus on the study of causal mechanisms (or causal pathways) and increased emphasis on the structural modeling of the phenomena of interest. We argue these changes offer a practical path forward for rigorous accounting research.
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