Seemlingly unrelated estimation and the cluster-adjusted sandwich estimator
By J. Weesie. 2000
231 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/577671c5528a5851f804e38c6bfa820e25cafe7c
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- John Antonakis
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Citations in the corpus
- Risk perceptions, preferences and management strategies: evidence from a case study using German livestock farmers (2017, methodology): “As subjective numeracy has been shown to correlate positively with risk comprehension (Zikmund-Fisher et al. 2007), this results shows that farmers with a better understanding of probabilities and preferences for numbers are more likely to take on more insurances, trade on the commodity futures exch”
- The Hausman test, and some alternatives, with heteroskedastic data (2012, unknown): “It is based on Wessie (1999), cited in Creel (2004).”
- Careless responding in questionnaire measures: Detection, impact, and remedies (2020, result): “…that could be confirmed when the univariate logit estimates of the total sample (0.16 [95% CI=0.06–0.27] ) and that of subsample (0.90 [95% CI=0.66–1.13] ) were compared with see-mingly unrelated estimation (SUEST; Weesie, 1999) and proved to be significantly different, χ 2 (1) = 40.30, p < .001.”
- Instrumental leadership: Measurement and extension of transformational–transactional leadership theory (2014, methodology): “across the criteria we used Stata’s seemingly-unrelated estimation (SUEST) procedure, which allows for cross-equation tests by combining estimates from different models (Weesie, 1999).”