Bridging Methodological Divides Between Macro- and Microresearch: Endogeneity and Methods for Panel Data
By P. Bliese, Donald J. Schepker, S. Essman, Robert E. Ployhart. Journal of Management, 2020
128 citations recorded by the source corpus.
Both macro- and micro-oriented researchers frequently use panel data where the outcome of interest is measured repeated times. Panel data support at least five different modeling frameworks (within, between, incremental/emergent, cross-level, and growth). Researchers from macro- and micro-oriented domains tend to differentially use the frameworks and also use different analytic tools and terminology when using the same modeling framework. These differences have the potential to inhibit cross-discipline communication. In this review, we explore how macro- and microresearchers approach panel data with a specific emphasis on the theoretical implications of choosing one framework versus another. We illustrate how fixed-effects and random-effects models differ and how they are similar, and we conduct a thorough review of 142 articles that used panel data in leading management journals in 2017. Ultimately, our review identifies ways that researchers can better employ fixed- and random-effects models, model time as a meaningful predictor or ensure unobserved time heterogeneity is controlled, and align hypotheses to analytic choice. In the end, our goal is to help facilitate communication and theory development between macro- and micro-oriented management researchers.
Subfields: Marketing, Safety Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/ec6dc4c2e0724d28e56298a0b382504164385a68
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Citations in the corpus
- Enhancing Rigor in Quantitative Entrepreneurship Research (2019, background): “Using longitudinal data obviously offers many benefits, as it enables researchers to better handle unobserved heterogeneity, improve causal inference, and explain change (Bliese et al., 2019).”
- Endogeneity: A Review and Agenda for the Methodology-Practice Divide Affecting Micro and Macro Research (2020, background): “Arellano & Bond, 1991; Ballinger, 2004; Bergh, 1993; Blundell & Bond, 1998 Using Exogenous Events – Quasiexperiments where intervention or exogenous event is used to establish direction of causality.”