How to Conduct High-quality Empirical Accounting Research - PowerPoint PPT Presentation

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How to Conduct High-quality Empirical Accounting Research

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A few tips. Develop your own and systematic view of the world. Write down your ideas ... Simplicity is beauty. Logical arguments. Satisfy reviewers' concerns ... – PowerPoint PPT presentation

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Title: How to Conduct High-quality Empirical Accounting Research


1
How to Conduct High-qualityEmpirical Accounting
Research
  • By
  • Bin Ke
  • Associate Professor, Pennsylvania State
    University
  • Visiting Professor, Cheung Kong Graduate School
    of Business

2
A brief intro. to my research interests
  • Overall goal is to study how firms allocate
    scarce economic resources to maximize shareholder
    value
  • Specific research areas
  • Earnings management
  • Insider trading
  • Professional investors (analysts and money
    managers)
  • Taxes
  • The common theme of my research is to understand
    how (accounting) information is produced,
    disclosed, and used by various decision makers
    inside and outside the firm

3
Implicit Assumptions
  • You are highly motivated (i.e., willingness to
    work hard)
  • You understand why academic research is important
    to you and the society
  • You have a systematic framework to guide your
    empirical research

4
Writing a paper is analogous to making a car
  • Design stage
  • Manufacturing stage
  • Marketing stage

5
The assembly line for a typical paper
  • Design stage
  • Start with a general motivational question
  • Ask a specific question to be tested
  • Manufacturing stage
  • Conceive a research design
  • Sample selection
  • Data analysis and interpretation
  • Marketing stage
  • Write the paper
  • Endure the review process
  • Bingo! Paper is published!
  • The entire cycle typically lasts at least 2 years

6
Design Stage
7
What is a good question?
  • Nobody has done it before
  • The research question has an impact
  • Academic community
  • Practitioners (corporate managers and investors)
  • Regulators
  • Readers outside China

8
Examples of good research
  • Watts and Zimmerman (1986)
  • Scholes and Wolfson (1992)
  • Bernard and Thomas (1990)
  • Burgstahler and Dichev (1997)

9
Key questions at the design stage
  • WWW
  • What is your research question?
  • Why is it interesting (i.e., who cares)?
  • What are your predictions?

10
How can you develop interesting questions?
  • No easy answers
  • A few tips
  • Develop your own and systematic view of the world
  • Write down your ideas
  • Explain your ideas to experienced researchers

11
Different views of the world
  • Views on capital market efficiency
  • Traditional views
  • Fama (1970)
  • Behavioral finance view
  • Shleifer (2000), Barberis and Thaler (2002)
  • Views on managerial compensation contracts
  • Optimal contracting (compensation contract is a
    response to agency problems)
  • Managerial power view (compensation contract
    itself is a manifestation of agency problems)
  • Bebchuk and Fried (2004)

12
Manufacturing Stage
13
Research design issues
  • The structural model
  • Firm performancef(governance)
  • What variables should be in and what variables
    should be out?
  • Empirical proxies for theoretical constructs
  • Causality vs. association
  • Interpretation of your results (i.e., can the
    research design answer intended question?)

14
From theoretical constructs to empirical proxies
  • Example 1
  • What is information asymmetry?
  • How to measure it?
  • Huddart and Ke (2004)
  • Example 2
  • What is earnings management?
  • How to measure it?
  • Jones (1991)
  • Burgstahler and Dichev (1997)
  • What are the consequences of poorly measured
    constructs?

15
How to demonstrate a causal relation?
  • Manipulate the causes
  • Beatty, Ke and Petroni (2002)
  • Ke and Petroni (2004)
  • Ke, Petroni and Yu (2005)
  • Statistical solutions
  • Fixed effects regression
  • Ke and Ramalingegowda (2005)
  • Two-stage least squares
  • Huddart, Ke and Shi (2005)

16
From results to interpretation
  • Understand your research designs limitations
  • What you can say from your results
  • What you cannot say from your results
  • Disclose your limitations
  • Example Francis and Ke (2004)

17
Marketing Stage
18
How to sell your car?
  • Write clearly and logically
  • Simplicity is beauty
  • Logical arguments
  • Satisfy reviewers concerns
  • Have some good luck

19
Summary
  • Good questions
  • Clear predictions
  • Strong research design
  • Robust results
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