Sample Selection Bias and Heckman Models in Strategic Management Research
By John R. Busenbark, Trevis Certo, H. Woo. 2016
799 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/2475841a65f1866f716b7b18d4c063f026da58de
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In Management Science and Operations Research
- John R. Busenbark
- Scott D. Graffin
- Mario Daniele Amore
- Samuele Murtinu
- Pilar Velasco
- G. D. L. Fuente
- Margarita Ortiz
- Ernest H. O’Boyle
Citations in the corpus
- Enhancing Rigor in Quantitative Entrepreneurship Research (2019, background): “Missing data may severely affect research findings because it can easily lead to sample attrition and associated sample selection biases (Aguinis et al., 2018; Certo et al., 2016; Enders, 2010; Newman, 2014).”
- Omitted Variable Bias: Examining Management Research With the Impact Threshold of a Confounding Variable (ITCV) (2021, methodology): “and is potentially biased because it does not include the xomitted term such that there is omitted variable bias to some degree when the correlation between x1 and xomitted is not zero (since there is already a strong correlation between xomitted and y); the final model is a two-stage least squares ”
- A Marginal Effects Approach to Interpreting Main Effects and Moderation (2021, methodology): “In an unreported simulation procedure that follows the protocols of research on the topic (e.g., Certo et al., 2016; Kalnins, 2018; Semadeni et al., 2014), we found that the marginal effects approach provides estimates consistent with the values we established in the simulation regardless of…”
- The value of a firm’s engagement in ESG practices: Are we looking at the right side? (2021, methodology): “This first estimation allows us to obtain the inverse of Mills’ ratio (λ) which is added in the subsequent stage to correct for sample selectivity (Heckman, 1979; Certo et al., 2016).”
- Does corporate eco-innovation affect stock price crash risk? (2021, methodology): “We applied the Heckman selection estimation following the process mentioned in Certo et al. (2016). We first use a probit model predicting the determinants of eco-innovation and create a selection parameter, i.”
- Endogeneity: A Review and Agenda for the Methodology-Practice Divide Affecting Micro and Macro Research (2020, methodology): “Medical experts (i.e., methodologists) have studied how various medicines are being used and have found they are often administered incorrectly (e.g., Antonakis et al., 2010; Certo et al., 2016; Semadeni et al., 2014; Wolfolds & Siegel, 2019).”
- Good, better, engaged? The effect of company-initiated customer engagement behavior on shareholder value (2018, background): “Self-selection may for instance not be detected due to the use of weak selection variables (Certo et al. 2016).”
- Tobit models in strategy research: Critical issues and applications (2019, methodology): “As Certo et al. (2016) discuss (see also Kennedy, 2008; Semadeni et al., 2014), simulations involve two main steps: (a) generating datasets with known properties, and (b) analyzing such datasets with different models.”