Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches
By Mitchell A. Petersen. 2005
9,375 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/5cba3a8b60959c2175150e8aa2fc1d3a66c181e9
How researchers see this paper
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In Accounting
- Jeong‐Bon Kim
- Liandong Zhang
- Martin Walker
- Omrane Guedhami
- Terry Shevlin
- Michelle Hanlon
- Christian Leuz
- Jarrad Harford
In Economics and Econometrics
- Gordon Richardson
- Roman Lanis
- Michelle Hanlon
- Terry Shevlin
- Edward L. Maydew
- Ryan J. Wilson
- Chen Lin
- Liandong Zhang
Citations in the corpus
- Market Conditions, Default Risk and Credit Spreads (2010, positive): “Thompson (2006) and Petersen (2009) provides a detailed analysis on the performance of various approaches for this type of analysis.”
- Sharing Risk with the Government: How Taxes Affect Corporate Risk Taking (2017, positive): “Given the state- level nature of the variation we exploit, we cluster standard errors by state (Petersen 2009).”
- Audit and non-audit fees and capital market perceptions of auditor independence (2009, neutral): “7 In a recent study, Petersen (2009) examines different methods for estimating standard errors when residuals are correlated across firms or years for panel data.”
- An Empirical Study of the Bullwhip Effect in China (2014, positive): “As suggested by Peterson (2009), clustering is a general correction because it does not require any specific assumptions about the function form of serial dependence.”
- The Impact of IFRS on Accounting Quality in a Regulated Market (2011, positive): “As the IFRS adoption effect may be uncertain during the transition period, the model is also tested with the transition period (2006-2007) removed as per Li (2010) and Petersen (2009) to find the same conclusions.”
- Managers with and without Style: Evidence Using Exogenous Variation (2013, neutral): “Many panel-data estimation approaches, such as those discussed by Petersen (2009), do not solve this problem.”
- State Ownership, Socio-political Factors, and Labor Cost Stickiness (2018, positive): “The positive value of SucDec·Dec· lnSales and the negative value of the 8Consistent with Chen et al. (2012) and Dierynck et al. (2012), we use firm-level clustered standard errors to control for intrafirm error correlation problems (Petersen, 2009).”