1998
DOI: 10.1287/mnsc.44.4.571
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Accounting for Endogeneity When Assessing Strategy Performance: Does Entry Mode Choice Affect FDI Survival?

Abstract: Firms choose strategies based on their attributes and industry conditions; therefore, strategy choice is endogenous and self-selected. Empirical models that do not account for this and regress performance measures on strategy choice variables are potentially misspecified and their conclusions incorrect. I highlight how self-selection on hard-to-measure or unobservable characteristics can bias strategy performance estimates and recommend an econometric technique that has been developed to account for this effec… Show more

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Cited by 858 publications
(704 citation statements)
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“…For a technical treatment of the problem of selectivity bias and its effect on estimation, see Greene (1993). Shaver (1998) provides a detailed description of the problem in the context of the relationship between FDI modal choice and firm survival.…”
Section: The Modelmentioning
confidence: 99%
“…For a technical treatment of the problem of selectivity bias and its effect on estimation, see Greene (1993). Shaver (1998) provides a detailed description of the problem in the context of the relationship between FDI modal choice and firm survival.…”
Section: The Modelmentioning
confidence: 99%
“…This problem is hardly ever accounted for in entry mode research although it is relevant also in empirical terms. 16 16 Shaver (1998), to our knowledge the only study in entry mode research which adequately dealt with this problem, found that performance differences of M&A and greenfield entry disappeared as soon as model estimation accounted for the endogeneity of the mode variable.…”
Section: Endogeneitymentioning
confidence: 95%
“…This problem is hardly ever accounted for in entry mode research although it is relevant also in empirical terms. 16 16 Shaver (1998), to our knowledge the only study in entry mode research which adequately dealt with this problem, found that performance differences of M&A and greenfield entry disappeared as soon as model estimation accounted for the endogeneity of the mode variable.Although we control in all performance equations (Model B) for a potential endogeneity of foreign R&D (RDFOR) and its governance mode (RDFOR_EQ) we also cannot evade the (general) endogeneity problem which is inherent in a cross-sectional analysis. Therefore, rather than making causal claims, we interpret the estimated coefficients as partial correlations.…”
mentioning
confidence: 95%
“…1 Second, positivist research relies on statistical methods and tests. Nevertheless, observational biases, measurement errors, model misspecification, and the ambiguity of findings compromise the ascertainment of causation (Bergh and Holbein, 1997;Boyd et al, 2005b;Denrell, 2003;Shaver, 1998). For instance, a direct empirical association of resources with superior financial performance does not preclude omission or misspecification of links in the complex causal chain, such as industrial conditions, resource properties, competitive advantage, or superior performance (Cockburn et al, 2000; see also Tsang, 2006 about assumption-omitted testing).…”
Section: An Epistemological Basis For Causationmentioning
confidence: 99%
“…A properly applied conditioning strategy for a minimal number of variables-the ones that block back-door causal paths-is more effective at revealing causal relationships. Strategy scholars have already used this strategy in producing estimates with treatment-effect methods (Hamilton and Nickerson, 2003;Shaver, 1998). For instance, when we observe the performance of firms that actually possess a certain resource, we do not examine what their performance might have been had they not had this resource at their disposal.…”
Section: Causal Modelingmentioning
confidence: 99%