Empirical Research in Accounting

Empirical Research in Accounting

Tools and Methods

Ding, Tongqing; Gow, Ian D.

Taylor & Francis Ltd

12/2024

578

Dura

9781032586502

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Preface Part 1: Foundations 1. Introduction 2. Describing data 3. Regression fundamentals 4. Causal inference 5. Statistical inference 6. Financial statements: A first look 7. Linking databases 8. Financial statements: A second look 9. Importing data Part 2: Capital Markets Research 10. FFJR 11. Ball and Brown (1968) 12. Beaver (1968) 13. Event studies 14. Post-earnings announcement drift 15. Accruals 16. Earnings management Part 3: Causal Inference 17. Natural experiments 18. Causal mechanisms 19. Natural experiments revisited 20. Instrumental variables 21. Panel data 22. Regression discontinuity designs Part 4: Additional Topics 23. Beyond OLS 24. Extreme values and sensitivity analysis 25. Matching 26. Prediction Appendices A. Linear algebra B. SQL primer C. Research computing overview D. Running PostgreSQL E. Making a parquet repository References Index
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causal inference, r, python, statistics