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Data Sparseness and Variance in Accounting Profitability

Author

Listed:
  • Spyridon Stavropoulos

    (University of Patras, Greece)

  • Martijn J. Burger

    (Erasmus University Rotterdam, the Netherlands; University of Patras, Greece)

  • Dimitris Skuras

    (University of Patras, Greece)

Abstract

A central question in strategic management is why some firms perform better than others. One approach to addressing this question empirically is to decompose the variance in firm-level profitability into firm, industry, location, and year components. Although it is well established that data sparseness in variance decomposition studies can lead to overestimating particular variance components, little attention has been paid to sample size requirements in strategic management studies that have examined the nature of differences in firm profitability. We conduct a meta-regression and variance decomposition study and conclude that the variation in the results from previous studies is driven—to a considerable extent—by the number of observations per group within a component. Based on these findings, we draw conclusions regarding the validity and reliability of previo us variance decomposition studies and provide implications for current debates in the strategic management literature.

Suggested Citation

  • Spyridon Stavropoulos & Martijn J. Burger & Dimitris Skuras, 2015. "Data Sparseness and Variance in Accounting Profitability," Tinbergen Institute Discussion Papers 15-014/VII, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20150014
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    References listed on IDEAS

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    More about this item

    Keywords

    Firm profitability; variance decomposition; data sparseness; meta-analysis;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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