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Empirical Research in Accounting

- Tools and Methods
Af: Ian D. Gow, Tongqing Ding Engelsk Hardback

Empirical Research in Accounting

- Tools and Methods
Af: Ian D. Gow, Tongqing Ding Engelsk Hardback
Tjek vores konkurrenters priser

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.)
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Tjek vores konkurrenters priser
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Tjek vores konkurrenters priser

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.)
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 578
ISBN-13: 9781032586502
Indbinding: Hardback
Udgave:
ISBN-10: 1032586508
Kategori: Økonometri og økonomisk statistik
Udg. Dato: 16 dec 2024
Længde: 38mm
Bredde: 183mm
Højde: 260mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 16 dec 2024
Forfatter(e): Ian D. Gow, Tongqing Ding
Forfatter(e) Ian D. Gow, Tongqing Ding

Kategori Økonometri og økonomisk statistik

ISBN-13 9781032586502

Sprog Engelsk

Indbinding Hardback

Sider 578

Udgave

Længde 38mm

Bredde 183mm

Højde 260mm

Udg. Dato 16 dec 2024

Oplagsdato 16 dec 2024

Forlag Taylor & Francis Ltd