Empirical Research in Accounting (R语言) (PDF by Ian Gow 2025)

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Empirical Research in Accounting Tools and Methods.pdf (29.93 MB)

2025-7-5 16:30:13 上传

• [backcolor=rgba(0, 0, 0, 0)][url=]Foundations[/url]
  
  • [backcolor=rgba(0, 0, 0, 0)]1  Introduction
    
  • [backcolor=rgba(0, 0, 0, 0)]2  Describing data
    
  • [backcolor=rgba(0, 0, 0, 0)]3  Regression fundamentals
    
  • [backcolor=rgba(0, 0, 0, 0)]4  Causal inference
    
  • [backcolor=rgba(0, 0, 0, 0)]5  Statistical inference
    
  • [backcolor=rgba(0, 0, 0, 0)]6  Financial statements: A first look
    
  • [backcolor=rgba(0, 0, 0, 0)]7  Linking databases
    
  • [backcolor=rgba(0, 0, 0, 0)]8  Financial statements: A second look
    
  • [backcolor=rgba(0, 0, 0, 0)]9  Importing data
    
    
• [backcolor=rgba(0, 0, 0, 0)][url=]Capital Markets Research[/url]
  
  • [backcolor=rgba(0, 0, 0, 0)]10  FFJR
    
  • [backcolor=rgba(0, 0, 0, 0)]11  Ball and Brown (1968)
    
  • [backcolor=rgba(0, 0, 0, 0)]12  Beaver (1968)
    
  • [backcolor=rgba(0, 0, 0, 0)]13  Event studies
    
  • [backcolor=rgba(0, 0, 0, 0)]14  Post-earnings announcement drift
    
  • [backcolor=rgba(0, 0, 0, 0)]15  Accruals
    
  • [backcolor=rgba(0, 0, 0, 0)]16  Earnings management
    
    
• [backcolor=rgba(0, 0, 0, 0)][url=]Causal Inference[/url]
  
  • [backcolor=rgba(0, 0, 0, 0)]17  Natural experiments
    
  • [backcolor=rgba(0, 0, 0, 0)]18  Causal mechanisms
    
  • [backcolor=rgba(0, 0, 0, 0)]19  Natural experiments revisited
    
  • [backcolor=rgba(0, 0, 0, 0)]20  Instrumental variables
    
  • [backcolor=rgba(0, 0, 0, 0)]21  Panel data
    
  • [backcolor=rgba(0, 0, 0, 0)]22  Regression discontinuity designs
    
    
• [backcolor=rgba(0, 0, 0, 0)][url=]Additional Topics[/url]
  
  • [color=rgba(10, 83, 190, 0.8)][backcolor=rgba(0, 0, 0, 0)]23  Beyond OLS
    
  • [backcolor=rgba(0, 0, 0, 0)]24  Extreme values and sensitivity analysis
    
  • [backcolor=rgba(0, 0, 0, 0)]25  Matching
    
  • [backcolor=rgba(0, 0, 0, 0)]26  Prediction
    
    
  
  

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