Endogeneity, Instruments, and Two-Stage Models
Graf-Vlachy L, Wagner S (2024)
Publication Type: Conference contribution
Publication year: 2024
Journal
Publisher: IEEE Computer Society
Pages Range: 274-275
Conference Proceedings Title: Proceedings - International Conference on Software Engineering
Event location: Lisbon, PRT
ISBN: 9798400705021
Abstract
Background: Studies in software engineering are often particularly useful if they make causal claims because this allows practitioners to identify how they can influence outcomes of interest. Unfortunately, many non-experimental studies suffer from potential endogeneity through omitted confounding variables, which precludes claims of causality. Aims and Method: We introduce instrumental variables and two-stage models as a means to account for endogeneity to the field of empirical software engineering. Results and Conclusions: We define endogeneity, explain its primary cause, and lay out the idea behind instrumental variable approaches and two-stage models.
Involved external institutions
Germany (DE)How to cite
APA:
Graf-Vlachy, L., & Wagner, S. (2024). Endogeneity, Instruments, and Two-Stage Models. In Proceedings - International Conference on Software Engineering (pp. 274-275). Lisbon, PRT: IEEE Computer Society.
MLA:
Graf-Vlachy, Lorenz, and Stefan Wagner. "Endogeneity, Instruments, and Two-Stage Models." Proceedings of the 46th International Conference on Software Engineering: Companion, ICSE-Companion 2024, Lisbon, PRT IEEE Computer Society, 2024. 274-275.
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