How to Deal with Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study

Autor/inn/en	Leszczensky, Lars; Wolbring, Tobias
Titel	How to Deal with Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study
Quelle	In: Sociological Methods & Research, 51 (2022) 2, S.837-865 (29 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Wolbring, Tobias)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124119882473
Schlagwörter	Attribution Theory; Causal Models; Comparative Analysis; Statistical Bias; Criticism; Social Science Research; Research Problems; Monte Carlo Methods + Suchen Sie Ihr Suchwort? Kausalanalyse; Kritik; Social scientific research; Sozialwissenschaftliche Forschung; Forschungskritik; Monte-Carlo-Methode
Abstract	Does "X" affect "Y"? Answering this question is particularly difficult if reverse causality is looming. Many social scientists turn to panel data to address such questions of causal ordering. Yet even in longitudinal analyses, reverse causality threatens causal inference based on conventional panel models. Whereas the methodological literature has suggested various alternative solutions, these approaches face many criticisms, chief among them to be sensitive to the correct specification of temporal lags. Applied researchers are thus left with little guidance. Seeking to provide such guidance, we compare how different panel models perform under a range of different conditions. Our Monte Carlo simulations reveal that unlike conventional panel models, a cross-lagged panel model with fixed effects not only offers protection against bias arising from reverse causality under a wide range of conditions but also helps to circumvent the problem of misspecified temporal lags. (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01