The use of logit and probit models in strategic management research: Critical issues

By Glenn Hoetker. 2007

1,588 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Information Systems, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/d7be1bbf3c6d07406a47bae7c78351b4be9e2d7f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Management Information Systems

In Organizational Behavior and Human Resource Management

Citations in the corpus

CEO Hubris and Firm Risk Taking in China: The Moderating Role of Managerial Discretion (2010, methodology): “05 or greater) interaction effects using one standard deviation above and below the mean to represent high and low levels of the moderating variables (Aiken & West, 1991),(10) using the coefficients in model 6 (Hoetker, 2007).”
Less is More, or Not? On the Interplay between Bundles of Slack Resources, Firm Performance and Firm Survival (2015, positive): “Moreover, interaction terms are challenging to interpret when the dependent variable is binary (Hoetker, 2007), such as in models with survival as the dependent variable.”
The Moderating Impact of Informal Institutional Distance and Formal Institutional Risk on SME Entry Mode Choice (2011, neutral): “Interaction effects are more complex to compute and interpret in non-linear models (Hoetker, 2007).”
One of Us or One of My Friends: How Social Identity and Tie Strength Shape the Creative Generativity of Boundary-Spanning Ties (2014, methodology): “This type of analysis is particularly important for non-linear models like the ordered probit we use here, as the coefficients of interactions for these models are not necessarily indicative of the true shape of the relationship (Brambor, Clark, & Golder, 2006; Greene, 2010; Hoetker, 2007).”
Motivation and Ability? A Behavioral Perspective on the Pursuit of Radical Invention in Multi-Technology Incumbents (2017, neutral): “While Table 2 shows some 14 We use a split sample approach—as opposed to interacting CONCENTRATION and ABOVE ASPIRATIONS (for example)—because all of our models are non-linear models, thus making interaction terms more difficult to evaluate (Hoetker, 2007).”
Individual capital and social entrepreneurship: Role of formal institutions (2020, background): “Further, while testing the interaction effects, the direction of the interaction term and its statistical significance may vary for different values of the independent variable (Hoetker, 2007; Zelner, 2009).”
Regions Matter: How Localized Social Capital Affects Innovation and External Knowledge Acquisition (2012, background): “Because of the nonlinear nature of the logit model, however, the marginal effect of an interaction effect is not simply the coefficient of their interaction (Hoetker 2007, Norton et al. 2004).”
Why are companies offshoring innovation? The emerging global race for talent (2009, background): “However, testing for all possible interaction effects in an appropriate way would have significantly complicated the model and interpretation of results (Hoetker, 2007).”
Understanding Producers’ Motives for Adopting Sustainable Practices: The Role of Expected Rewards, Risk Perception, and Risk Tolerance (2016, background): “…by W ageningen U niversiteit en R esearch user on 05 April 2019 To assess moderation effects, the literature recommends to evaluate the effects at different values along the continuum of the moderator to observe its effect on the predictor (Brambor, 2005; Hoetker, 2007).”
Asset Divestment as a Response to Media Attacks in Stigmatized Industries (2014, methodology): “While nonlinear models, such as the logistic regression used below, can accommodate the panel structure of our data, they have limited ability to test for interaction effects (Allison, 1999; Hoetker, 2007).”