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Books > Business & Economics > Finance & accounting > Accounting > Financial accounting
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Causal Inferences in Capital Markets Research (Paperback)
Loot Price: R2,462
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Causal Inferences in Capital Markets Research (Paperback)
Series: Foundations and Trends (R) in Accounting
Expected to ship within 10 - 15 working days
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Causal Inferences in Capital Markets Research is an attempt to
promote a broad interdisciplinary debate about the notion of
causality and the role of causal inference in the social sciences.
At the risk of oversimplifying, the issue of causality divides the
accounting research community in two polar views: the view that
causality is an unattainable ideal for the social sciences and must
be given up as a standard, and the view that, on one hand,
causality should be the ultimate goal of all scientific endeavors
and, on the other hand, theory and causal inference are
inextricable. Reflecting and discussing these views was the main
motivation for this volume. This volume contains eight articles on
three topics: I) Econometrics; III) Accounting, and III) Finance.
First, Nancy Cartwright addresses the problem of external validity
and the reliability of scientific claims that generalize individual
cases. Then, John Rust discusses the role of assumptions in
empirical research and the possibility of assumption-free
inference. Peter Reiss considers the question how sensitive are
instrumental variables to functional form transformations. Finally,
Charles Manski studies the logical issues that affect the
interpretation of point predictions. Second, Jeremy Bertomeu, Anne
Beyer and Daniel Taylor provide a critical overview of empirical
accounting research focusing on the benefits of theory-based
estimation, while Qi Chen and Katherine Schipper consider the
question whether all research should be causal and assess the
existing gap between theory and empirical research in accounting.
Third, R. Jay Kahn and Toni Whited clarifies and contrasts the
notions of identification and causality, whereas Ivo Welch adopts a
sociology of science approach to understand the consequences of the
researchers' race for discovering novel and surprising results.
This volume allows researchers and Ph.D students in accounting, and
the social sciences in general, to acquire a deeper understanding
of the notion of causality and the nature, limits, and scope of
empirical research in the social sciences.
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