Empirical Research in Accounting

Regular price €112.99
Regular price €113.99 Sale Sale price €112.99
A01=Ian D. Gow
A01=Tongqing Ding
Age Group_Uncategorized
Age Group_Uncategorized
Author_Ian D. Gow
Author_Tongqing Ding
automatic-update
Category1=Non-Fiction
Category=KCH
Category=KCHS
Category=KFC
Category=KJC
Category=PBT
causal inference
COP=United Kingdom
Delivery_Pre-order
eq_business-finance-law
eq_isMigrated=2
eq_new_release
eq_non-fiction
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
python
r
softlaunch
statistics

Product details

  • ISBN 9781032586502
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 16 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
Delivery/Collection within 10-20 working days

Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock

10-20 Working Days
: On Backorder

Will Deliver When Available
: On Pre-Order or Reprinting

We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!

This textbook provides the foundation for a course that takes PhD students in empirical accounting research from the very basics of statistics, data analysis, and causal inference up to the point at which they conduct their own research. Starting with foundations in statistics, econometrics, causal inference, and institutional knowledge of accounting and finance, the book moves on to an in-depth coverage of the core papers in capital market research. The latter half of the book examines contemporary approaches to research design and empirical analysis, including natural experiments, instrumental variables, fixed effects, difference-in-differences, regression discontinuity design, propensity-score matching, and machine learning. Readers of the book will develop deep data analysis skills using modern tools. Extensive replication and simulation analysis is included throughout.

Key Features:

  • Extensive coverage of empirical accounting research over more than 50 years.
  • Integrated coverage of statistics and econometrics, institutional knowledge, and research design.
  • Numerous replications and a dozen simulation analyses to immerse readers in papers and empirical analysis.
  • All tables and figures in the book can be reproduced by readers using included code.
  • Easy-to-use templates facilitate hands-on exercises and introduce reproduceable research concepts. (Solutions available to instructors.)

Ian D. Gow is a professor at the University of Melbourne, where he teaches several courses, including courses based on this book . Ian previously served on the faculties of Harvard Business School, Northwestern University, and Yale. Ian’s recent research focuses on causal inference and empirical methods. Ian has a PhD from Stanford, an MBA from Harvard and BCom and LLB degrees from the University of New South Wales.

Tongqing (Tony) Ding is a senior lecturer at the University of Melbourne, where he teaches courses on data analytics, financial statement analysis, and corporate reporting. Tony’s research focuses on corporate governance, financial reporting and disclosure, ESG, and data analytics. Tony has PhD and MS degrees from the University of Colorado and degrees from Shanghai Jiao Tong University.