2011Advances in management accountingRequires access

Selection bias and endogeneity issues on the relationship between information technology and firm performance

Adam S. Maiga, Fred A. Jacobs

Open publisher page 6 citations

Abstract

This study extends prior research on the relation between information technology (IT) and firm performance by using both univariate and multivariate econometric models to assess the hypothesized relationships. Additionally, sample selection bias and endogeneity are examined to determine their effect, if any, on the results. The univariate results indicate that, on average, IT leaders outperform non-IT leaders. After controlling for sample selection bias and endogeneity, using Wooldridge (2002) 2SLS-IV, the coefficient of the endogenous variable is higher than suggested by ordinary least squares estimation and the Hausman F-Test is significant, indicating that the relationship between IT and firm performance is endogenous. Thus, it is important to control for sample selection bias and endogeneity to properly estimate the relationship between IT and firm performance.

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What this paper is about

This study extends prior research on the relation between information technology (IT) and firm performance by using both univariate and multivariate econometric models to assess the hypothesized relationships. Additionally, sample selection bias and endogeneity are examined to determine their effect, if any, on the results. The univariate results indicate that, on average, IT leaders outperform non-IT leaders. After controlling for sample selection bias and endogeneity, using Wooldridge (2002) 2SLS-IV, the coefficient of the endogenous variable is higher than suggested by ordinary least squares estimation and the Hausman F-Test is significant, indicating that the relationship between IT and firm performance is endogenous. Thus, it is important to control for sample selection bias and endogeneity to properly estimate the relationship between IT and firm performance.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This study extends prior research on the relation between information technology (IT) and firm performance by using both univariate and multivariate econometric models to assess the hypothesized relationships. Additionally, sample selection bias and endogeneity are examined to determine their effect, if any, on the results. The univariate results indicate that, on average, IT leaders outperform non-IT leaders. After controlling for sample selection bias and endogeneity, using Wooldridge (2002) 2SLS-IV, the coefficient of the endogenous variable is higher than suggested by ordinary least squares estimation and the Hausman F-Test is significant, indicating that the relationship between IT and firm performance is endogenous. Thus, it is important to control for sample selection bias and endogeneity to properly estimate the relationship between IT and firm performance.

Key concepts: Endogeneity, Univariate, Selection bias, Econometrics, Instrumental variable, Selection (genetic algorithm), Hausman test, Economics

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